About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives.

In this role, you will lead the technical execution of complex customer engagements where synthetic data is used to improve model training, evaluation, and performance. You will translate ambiguous model and data challenges into effective data strategies, build scalable generation and evaluation pipelines, and use experimentation to continuously improve data quality and downstream model outcomes.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Synthetic Data Generation & Evaluation

• Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases
• Translate model objectives, failure modes, and data gaps into synthetic data strategies, experiments, and technical specifications
• Develop LLM- and ML-assisted workflows to generate high-quality training and evaluation datasets across targeted behaviors, domains, and edge cases
• Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance, diversity, coverage, and adherence to customer requirements
• Design and run experiments to measure the impact of synthetic data on downstream model performance and iteratively improve generation approaches
• Package and deliver production-grade datasets with standardized formats, quality assurance, and clear documentation

Forward Deployed Engineering & Customer Partnership

• Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
• Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
• Rapidly prototype and productionize solutions across models, data pipelines, APIs, and custom applications
• Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
• Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

• Identify recurring patterns across customer engagements and turn successful solutions into reusable pipelines, evaluators, tooling, and best practices
• Define and improve technical standards for synthetic data generation, experimentation, evaluation, and delivery
• Partner with DaaS Engineering and Product teams to influence platform and product capabilities based on real-world customer needs
• Lead technical design reviews, share expertise, and provide guidance to other engineers
• Stay current with emerging synthetic data, LLM evaluation, and data curation techniques and assess their applicability to customer problems

What We’re Looking For

• 5+ years of experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a similar technical role
• Strong Python skills and experience building reliable production data or ML systems, including containerizing with Docker and deploying on cloud platforms (e.g., AWS, GCP, or Azure)
• Hands-on experience with LLMs—building model-based applications and data workflows with the modern GenAI/LLM stack, and integrating systems, models, and data sources through APIs
• Strong understanding of ML experimentation and evaluation, including defining metrics and using empirical results to guide technical decisions
• Experience building synthetic data, data augmentation, or model-generated training and evaluation datasets
• Experience with LLM evaluation techniques, including LLM-as-a-judge, model-based evaluation, rubric-based evaluation, or custom evaluators
• Demonstrated ability to take ambiguous technical problems from problem definition through delivery, with strong technical communication and experience working directly with customers and cross-functional stakeholders
• Experience serving as a technical lead—setting technical direction, driving architecture and key decisions, mentoring engineers, and creating reusable approaches that influence broader engineering or product outcomes

Preferred Qualifications

• Experience developing datasets for fine-tuning, preference optimization, or benchmarking, including human-in-the-loop generation and review workflows
• Experience building agentic environments and tasks—repo-scale coding tasks, tool-agent-user interaction design, and agent tool protocols and interoperability
• Experience with reinforcement learning for LLMs, including reward and verifier design and RL with verifiable rewards (RLVR)
• Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives.

In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Computer Use Agents, Data, and Evaluation

• Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
• Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
• Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
• Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
• Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
• Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
• Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents

Forward Deployed Engineering & Customer Partnership

• Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
• Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
• Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
• Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
• Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

• Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
• Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
• Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
• Lead technical design reviews, share expertise, and provide guidance to other engineers
• Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems

What We’re Looking For

• 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
• Strong Python skills and experience building reliable production software, data, or ML systems
• Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
• Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
• Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
• Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
• Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
• Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
• Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
• Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions

Preferred Qualifications

• Experience developing agent benchmarks, task suites, or simulators
• Experience with multimodal models, visual grounding, or evaluating agents that interact with graphical user interfaces
• Experience with repo-scale agentic coding tasks, agent tool protocols & interop, or productized browser/computer-use agents
• Experience building data pipelines for fine-tuning, reinforcement learning, preference optimization, benchmarking, or model evaluation
• Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Synthetic Data Generation to partner with leading AI labs and enterprises on their most critical AI initiatives.

In this role, you will lead the technical execution of complex customer engagements where synthetic data is used to improve model training, evaluation, and performance. You will translate ambiguous model and data challenges into effective data strategies, build scalable generation and evaluation pipelines, and use experimentation to continuously improve data quality and downstream model outcomes.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Synthetic Data Generation & Evaluation

• Design and build scalable synthetic data generation, transformation, filtering, and evaluation pipelines for complex AI use cases
• Translate model objectives, failure modes, and data gaps into synthetic data strategies, experiments, and technical specifications
• Develop LLM- and ML-assisted workflows to generate high-quality training and evaluation datasets across targeted behaviors, domains, and edge cases
• Build automated evaluators, quality checks, and measurement frameworks to assess correctness, relevance, diversity, coverage, and adherence to customer requirements
• Design and run experiments to measure the impact of synthetic data on downstream model performance and iteratively improve generation approaches
• Package and deliver production-grade datasets with standardized formats, quality assurance, and clear documentation

Forward Deployed Engineering & Customer Partnership

• Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
• Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
• Rapidly prototype and productionize solutions across models, data pipelines, APIs, and custom applications
• Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
• Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

• Identify recurring patterns across customer engagements and turn successful solutions into reusable pipelines, evaluators, tooling, and best practices
• Define and improve technical standards for synthetic data generation, experimentation, evaluation, and delivery
• Partner with DaaS Engineering and Product teams to influence platform and product capabilities based on real-world customer needs
• Lead technical design reviews, share expertise, and provide guidance to other engineers
• Stay current with emerging synthetic data, LLM evaluation, and data curation techniques and assess their applicability to customer problems

What We’re Looking For

• 5+ years of experience in machine learning engineering, data science, applied AI, forward deployed engineering, or a similar technical role
• Strong Python skills and experience building reliable production data or ML systems, including containerizing with Docker and deploying on cloud platforms (e.g., AWS, GCP, or Azure)
• Hands-on experience with LLMs—building model-based applications and data workflows with the modern GenAI/LLM stack, and integrating systems, models, and data sources through APIs
• Strong understanding of ML experimentation and evaluation, including defining metrics and using empirical results to guide technical decisions
• Experience building synthetic data, data augmentation, or model-generated training and evaluation datasets
• Experience with LLM evaluation techniques, including LLM-as-a-judge, model-based evaluation, rubric-based evaluation, or custom evaluators
• Demonstrated ability to take ambiguous technical problems from problem definition through delivery, with strong technical communication and experience working directly with customers and cross-functional stakeholders
• Experience serving as a technical lead—setting technical direction, driving architecture and key decisions, mentoring engineers, and creating reusable approaches that influence broader engineering or product outcomes

Preferred Qualifications

• Experience developing datasets for fine-tuning, preference optimization, or benchmarking, including human-in-the-loop generation and review workflows
• Experience building agentic environments and tasks—repo-scale coding tasks, tool-agent-user interaction design, and agent tool protocols and interoperability
• Experience with reinforcement learning for LLMs, including reward and verifier design and RL with verifiable rewards (RLVR)
• Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About Snorkel

At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data.

We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!

About the Role

Snorkel AI is hiring a Forward Deployed Engineer focused on Computer Use Agents to partner with leading AI labs and enterprises on their most critical agentic-AI initiatives.

In this role, you will lead the technical execution of complex customer engagements involving agents that operate computers, browsers, and software environments to complete realistic, multi-step tasks. You will translate ambiguous product and model challenges into robust task environments, datasets, evaluators, and delivery plans that improve agent reliability and downstream performance.

You will work across the full delivery lifecycle—from technical discovery and solution design through implementation, evaluation, and production delivery. You will also identify patterns across engagements and turn successful approaches into reusable capabilities, technical standards, and product improvements.

Main Responsibilities

Computer Use Agents, Data, and Evaluation

• Design and build task environments, datasets, and evaluation workflows for computer-using agents operating across browsers, desktop applications, terminals, and other software interfaces
• Translate customer goals, agent failure modes, and real-world workflows into representative, multi-step tasks with clear success criteria
• Develop data-generation, validation, and quality-assurance pipelines for multimodal and agentic training and evaluation data
• Build automated evaluators, checks, and measurement frameworks to assess task completion, correctness, robustness, efficiency, and adherence to requirements
• Diagnose agent failures across planning, tool use, perception, state management, and interaction with user interfaces; turn findings into improved tasks, data, and evaluations
• Design and run experiments to measure how data, task design, and evaluation changes affect downstream agent performance
• Deliver reusable, production-grade task suites, datasets, and evaluation assets that help customers train, benchmark, and improve computer-use agents

Forward Deployed Engineering & Customer Partnership

• Lead technical workstreams from initial solution design through production delivery, navigating ambiguity and making sound technical decisions
• Build, refine, and iterate on solutions that address customer needs, incorporating feedback to ensure the delivered work provides tangible value
• Rapidly prototype and productionize solutions across models, agent frameworks, APIs, browser or desktop environments, and custom applications
• Communicate technical tradeoffs, experimental results, and recommendations clearly to technical and cross-functional stakeholders
• Serve as a trusted technical partner to customers and internal delivery teams, resolving complex blockers and driving alignment

Technical Leadership & Scale

• Identify recurring patterns across customer engagements and turn successful solutions into reusable task frameworks, evaluators, tooling, and best practices
• Define and improve technical standards for agent task design, environment reliability, evaluation, and delivery
• Partner with DaaS Engineering, Research, and Product teams to influence platform and product capabilities based on real-world customer needs
• Lead technical design reviews, share expertise, and provide guidance to other engineers
• Stay current with emerging agentic-AI, computer-use, evaluation, and data-curation techniques and assess their applicability to customer problems

What We’re Looking For

• 5+ years of experience in machine learning engineering, software engineering, applied AI, forward deployed engineering, solutions engineering, or a similar technical role
• Strong Python skills and experience building reliable production software, data, or ML systems
• Hands-on experience building, evaluating, or deploying LLM-based or agentic systems, including computer-use agents (CUA)
• Strong understanding of experimentation and evaluation, including LLM-as-a-judge / model-based evaluation, defining metrics, and using empirical results to guide technical decisions
• Experience designing task environments, datasets, and verifiers for agents, including reward & verifier design (RL with verifiable rewards)
• Experience building or working with APIs, automation, web applications, browser-based systems, desktop applications, or developer tools
• Experience manipulating, analyzing, and validating large or complex datasets using Python and the modern GenAI/LLM stack
• Demonstrated ability to take ambiguous technical problems from problem definition through implementation and delivery
• Strong technical communication skills and experience working directly with customers or cross-functional stakeholders
• Demonstrated experience setting technical direction, creating reusable approaches across projects, and influencing broader engineering or product decisions

Preferred Qualifications

• Experience developing agent benchmarks, task suites, or simulators
• Experience with multimodal models, visual grounding, or evaluating agents that interact with graphical user interfaces
• Experience with repo-scale agentic coding tasks, agent tool protocols & interop, or productized browser/computer-use agents
• Experience building data pipelines for fine-tuning, reinforcement learning, preference optimization, benchmarking, or model evaluation
• Experience working in fast-paced, customer-facing environments where requirements and technical approaches evolve quickly

Compensation

The base salary range for this position is $180,000–$320,000, with an additional variable compensation opportunity. The exact mix of base salary and variable compensation will depend on the role level and work location. Final compensation will be determined based on job-related skills, experience, relevant education or training, interview performance, and other business considerations.

All offers also include equity in the form of employee stock options, as well as benefits.

Actual compensation will be determined based on factors including skills, qualifications, experience, and geographic location.

Salary range(s) for this role

$180,000—$320,000 USD

Be Your Best at Snorkel

Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly—offering a unique combination of stability and the excitement of high growth. As a member of our team, you’ll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you’re looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you’re fully supported in building your career in an environment designed for growth, learning, and shared success.

Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Our mission: e liminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We’re building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Spring Health’s IT Innovations team builds the automations and integrations that let every team here move faster and stay focused on removing barriers to mental healthcare. We connect our business systems and look for the manual, repetitive work across the company so we can engineer it away. As a Senior IT Systems Engineer, you will take on the most complex of that work — where requirements are ambiguous, systems are interdependent, and the right approach is not yet obvious — turning manual processes into reliable automations, and turning what you learn into the patterns the rest of the team builds from.

The toolkit keeps evolving, and AI and agent-based approaches are an increasing part of it. What stays constant is the judgment to choose an approach when there is no precedent, the care to build automations others can rely on and troubleshoot without you, and the ability to move partners toward a sound technical decision. You will work as a technical peer with teams across the company, cultivate the vendor relationships that give us leverage, and help the engineers around you grow.

This is a full-time individual contributor role reporting to the Director, IT System Engineering, and it is fully remote within the United States.

What You’ll Do

• Design and deliver the complex, business-critical automations and integrations that connect Spring Health’s core systems, including AI-powered and agentic workflows that call our automations as tools and run inside our governance guardrails.
• Choose the technical approach where no established pattern exists, document it so the team can repeat it, and bring recommendations that carry options, risks, and tradeoffs.
• Look past the request to the structural cause — a brittle integration, a workflow gap, an unclear data contract — and fix the cause, not the instance.
• Develop the reusable patterns, shared components, and agent building blocks — tool definitions, permission scopes, fallback paths — that other engineers build from, and drive adoption across IT.
• Guide how technical principles are applied — how integrations authenticate, how errors are handled, what an agent may act on without human approval, how work is tested — and help shape new standards with Security and Compliance.
• Own monitoring, alerting, and incident response for production automations and agents, and lead the investigation when something breaks.
• Serve as the escalation point for IT Systems Engineers and the last escalation inside IT Innovations, reducing that volume over time through root-cause fixes, added automation, and better tooling.
• Work as a technical peer on integration design across the company and build durable relationships with partners outside your own area of expertise, shaping approaches together rather than handing requirements over.
• Cultivate relationships with the vendors and platform partners whose roadmaps affect our work, and bring what you learn back to the team.
• Support the growth of IT Systems Engineers through design review and pairing, and help colleagues across the organization build orchestration and AI agent building fluency through training and shared documentation.

What Success Looks Like in This Role

• You deliver the team’s highest-complexity automation and integration projects each quarter, against committed scope and date.
• Production automations you own sustain a defined successful run rate (for example, 99% or better), with mean time to resolution trending down.
• The patterns and components you author are adopted, and a rising share of new team automations build on them.
• Escalation volume reaching you and recurring incident categories decline over time.
• Hours of repetitive operational work reclaimed each quarter through the automations you deliver.
• Partners outside IT Innovations bring you in early, and the shared processes you design hold up without rework.
• IT Systems Engineers grow in capability and confidence through your support, with less design rework needed over time.

What You’ll Bring

• 7+ years in automation, integration, or IT systems engineering, with hands-on delivery of business-critical automations.
• Deep hands-on experience with Workato preferred — recipe design, API integrations, error handling — or another integration platform as a service (iPaaS) such as Boomi, MuleSoft, Tray, or n8n.
• Experience integrating enterprise systems — identity and access management, human resources, ticketing, finance — using APIs, webhooks, and event-driven patterns.
• A track record of designing reusable patterns other engineers adopt, not just individual solutions.
• Hands-on experience building AI-powered and agentic workflows in a governed environment.
• Proficiency in a scripting language such as Python.
• Comfort choosing an approach on unfamiliar problems and defending it with evidence.
• Experience partnering with engineering and security colleagues on technical design, and cultivating vendor relationships.
• Ability to influence without authority by adapting your message to the audience, and to grow less experienced engineers.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. Workato or an equivalent iPaaS certification is a plus.

The target base salary range for this position is $125,000 - $138,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

• Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• We offer competitive paid time off policies including vacation, sick leave and company holidays.
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
• Access to Noom , a weight management program—based in psychology, that’s tailored to your unique needs and goals.
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Consequential Work. Dedicated People.

About Onebrief

Onebrief builds collaboration and AI-powered workflow software for military planning and operational coordination.

Military planning is complex by nature, requiring teams to coordinate information, people, and decisions across systems and locations. Onebrief brings planning, collaboration, simulation, and AI into one connected environment, helping teams test strategies, adapt to changing conditions, and make decisions with greater clarity when the stakes are real.

We are a distributed team of builders from military, operational, and technology backgrounds who care deeply about improving how important work gets done. Some team members work remotely, while others work directly alongside customers in operational environments around the world.

Founded in 2019, Onebrief is backed by leading investors including General Catalyst, Battery Ventures, Insight Partners, Sapphire Ventures, and Human Capital. Valued at more than $2 billion, we continue to invest in product innovation, AI capabilities, and team growth.

WHY THIS ROLE EXISTS

As a Staff Simulation Data Modeler at Onebrief, you own the ground truth that AtomEngine’s entire simulation stands on.

AtomEngine is our proprietary, cloud-based game engine that makes the world playable to solve real-world military problems — and every scenario it runs is only as credible as the entities inside it. You’ll build and defend that credibility: directing AI agents to research and construct entities at scale, codifying the standards and formulas that make and keep the catalog accurate, and stress-testing your own assumptions in competitive wargames before a customer ever finds the gap.

As a Simulation Data Modeler you own the AtomEngine entity catalog end to end — not just the entities themselves, but the sources, the standards, parametric formulas, tooling, and test coverage that make them credible. You’ll direct AI agents to do the bulk of first-pass research, data entry, and testing at scale, while you focus on the judgment calls: what “right” looks like, where the catalog is weakest, and how to prove it’s correct. You’ll partner closely with Customer Relations to prioritize what gets built next, with Engineering to automate testing, and with other Content Creators in competitive wargames designed to break your own assumptions before a customer does.

Key Responsibilities

Catalog strategy & prioritization

• Lead catalog strategy across multiple catalog segments. Build and maintain a structured catalog of all entities to be created across all service branches, nations, and eras — tracking completion, freshness, and data confidence for each segment.

• Partner with Customer Relations to translate customer and field feedback into a prioritized roadmap for which catalog segments matter most right now.

Standards & tradecraft

• Research the sources and codify the governing principles that any agent (human or AI) must follow when building entities.

• Research and adopt or develop defensible formulas for weapon effects, sensor effects, fuel burn, survivability, and other performance models; make calls on when to adapt existing precedent versus build an original model from scratch; defend those models directly to customers and SMEs. Partner with Engineering on implementation.

• Create & maintain a trusted network of subject matter experts you can pull in to ground the toughest modeling calls in real-world judgment.

Agent-directed production

• Use modern agentic AI workflows as your primary force multiplier: design prompts, review loops, and guardrails that other analysts and their agents adopt to handle first-draft research, data entry, and documentation at scale, while you supervise for accuracy and catch what they miss.

• Envision and define requirements for tools that accelerate the team’s workflow further, and partner with Engineering to help build them.

Verification, validation & accreditation (VV&A)

• Lead the ongoing VV&A across multiple catalog segments: is it accurate, is it tested, and can you prove it.

• Direct which automated test batteries get built and why, partnering with Engineering to design and implement automated tests that run continuously against the content catalog, catching regressions and inconsistencies before they reach customers.

• Organize and run competitive wargames against other Simulation Content Creators and Customer Relations to stress-test your own entities and assumptions, using the results to validate or correct parametric data.

• Continually interrogate the catalog and drive its ongoing improvement.

Knowledge & documentation

• Lead documentation standards across the team, and author internal and external-facing knowledge articles that defensibly explain the model’s logic and sourcing to “show your work” so customers and internal teams trust the numbers.

• Train and mentor other analysts on the tradecraft, rubrics, and VV&A methods you’ve established.

Minimum Qualifications

• Strong research and analytical skills, with the judgment to make sound assumptions when source data is incomplete or conflicted.

• Demonstrated ability to direct AI agents productively, writing clear instructions, structuring review checkpoints, and catching agent errors, rather than doing all research and data entry by hand.

• Comfort with quantitative modeling: you can reason about and sanity-check formulas for things like weapon effects, fuel consumption, or survivability, even if you’re not writing production code yourself.

• Strong organizational skills: you can build and maintain a catalog/tracking system spanning hundreds of items without losing the thread on what’s fresh, what’s stale, and what’s next.

• Concise, effective written and verbal communication — you’ll be authoring standards documents and knowledge articles that other people and agents must be able to follow exactly.

• A wargamer’s mindset: you care whether the simulation is right, not just whether it runs.

• Comfortable serving as the escalation point for contested technical calls, and defending those calls directly to customers or subject matter experts.

Preferred Qualifications

• Experience with game modding tools, editors, or simulation authoring environments (hobbyist or professional).

• Experience partnering with engineering on test automation or QA tooling.

• Familiarity with military doctrine, force structure, or platform performance data.

• Experience with version control and bug-tracking systems.

• Experience mentoring, training, or setting technical standards adopted by other analysts or contributors.

Note that this role will evolve as modern workflows continue to.

Notice to Third Party Recruitment Agencies

Please note that Onebrief does not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed Recruitment Services Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement Onebrief explicitly reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of Onebrief.

Our mission: e liminating every barrier to mental health.

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We’re building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Spring Health’s IT Innovations team builds the automations and integrations that let every team here move faster and stay focused on removing barriers to mental healthcare. We connect our business systems and look for the manual, repetitive work across the company so we can engineer it away. As a Senior IT Systems Engineer, you will take on the most complex of that work — where requirements are ambiguous, systems are interdependent, and the right approach is not yet obvious — turning manual processes into reliable automations, and turning what you learn into the patterns the rest of the team builds from.

The toolkit keeps evolving, and AI and agent-based approaches are an increasing part of it. What stays constant is the judgment to choose an approach when there is no precedent, the care to build automations others can rely on and troubleshoot without you, and the ability to move partners toward a sound technical decision. You will work as a technical peer with teams across the company, cultivate the vendor relationships that give us leverage, and help the engineers around you grow.

This is a full-time individual contributor role reporting to the Director, IT System Engineering, and it is fully remote within the United States.

What You’ll Do

• Design and deliver the complex, business-critical automations and integrations that connect Spring Health’s core systems, including AI-powered and agentic workflows that call our automations as tools and run inside our governance guardrails.
• Choose the technical approach where no established pattern exists, document it so the team can repeat it, and bring recommendations that carry options, risks, and tradeoffs.
• Look past the request to the structural cause — a brittle integration, a workflow gap, an unclear data contract — and fix the cause, not the instance.
• Develop the reusable patterns, shared components, and agent building blocks — tool definitions, permission scopes, fallback paths — that other engineers build from, and drive adoption across IT.
• Guide how technical principles are applied — how integrations authenticate, how errors are handled, what an agent may act on without human approval, how work is tested — and help shape new standards with Security and Compliance.
• Own monitoring, alerting, and incident response for production automations and agents, and lead the investigation when something breaks.
• Serve as the escalation point for IT Systems Engineers and the last escalation inside IT Innovations, reducing that volume over time through root-cause fixes, added automation, and better tooling.
• Work as a technical peer on integration design across the company and build durable relationships with partners outside your own area of expertise, shaping approaches together rather than handing requirements over.
• Cultivate relationships with the vendors and platform partners whose roadmaps affect our work, and bring what you learn back to the team.
• Support the growth of IT Systems Engineers through design review and pairing, and help colleagues across the organization build orchestration and AI agent building fluency through training and shared documentation.

What Success Looks Like in This Role

• You deliver the team’s highest-complexity automation and integration projects each quarter, against committed scope and date.
• Production automations you own sustain a defined successful run rate (for example, 99% or better), with mean time to resolution trending down.
• The patterns and components you author are adopted, and a rising share of new team automations build on them.
• Escalation volume reaching you and recurring incident categories decline over time.
• Hours of repetitive operational work reclaimed each quarter through the automations you deliver.
• Partners outside IT Innovations bring you in early, and the shared processes you design hold up without rework.
• IT Systems Engineers grow in capability and confidence through your support, with less design rework needed over time.

What You’ll Bring

• 7+ years in automation, integration, or IT systems engineering, with hands-on delivery of business-critical automations.
• Deep hands-on experience with Workato preferred — recipe design, API integrations, error handling — or another integration platform as a service (iPaaS) such as Boomi, MuleSoft, Tray, or n8n.
• Experience integrating enterprise systems — identity and access management, human resources, ticketing, finance — using APIs, webhooks, and event-driven patterns.
• A track record of designing reusable patterns other engineers adopt, not just individual solutions.
• Hands-on experience building AI-powered and agentic workflows in a governed environment.
• Proficiency in a scripting language such as Python.
• Comfort choosing an approach on unfamiliar problems and defending it with evidence.
• Experience partnering with engineering and security colleagues on technical design, and cultivating vendor relationships.
• Ability to influence without authority by adapting your message to the audience, and to grow less experienced engineers.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience. Workato or an equivalent iPaaS certification is a plus.

The target base salary range for this position is $125,000 - $138,000, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

• Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• We offer competitive paid time off policies including vacation, sick leave and company holidays.
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
• Access to Noom , a weight management program—based in psychology, that’s tailored to your unique needs and goals.
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.

Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply.

Our privacy policy: https://springhealth.com/privacy-policy/

Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

Join us in bringing joy to customer experience. Five9 is a leading provider of cloud contact center software, bringing the power of cloud innovation to customers worldwide.

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This isn’t a relationship management role. It’s an ownership role. Sharp. Adaptable. Unstoppable.

You won’t wait to be asked. You’ll identify what’s broken before it becomes a problem, build solutions that didn’t exist yesterday, and earn the kind of trust that makes you indispensable to the agency — and to Axon.

In this embedded role, you are the primary owner of customer outcomes within a strategic account — accountable for the full lifecycle of Axon’s ecosystem. You combine deep technical expertise, builder instinct, operational leadership, and executive presence to help agencies transform how they operate, not just adopt software. You embed for the long haul: opening the laptop onsite, shipping on Axon’s stack, holding the room when it matters, and iterating on what you build until it sticks in production.

Success is measured by the agency’s operational outcomes and working solutions in production — not product health, not activity, not slideware.

What You’ll Do

This role is intentionally undefined in the day-to-day. Priorities shift with agency mission tempo, operational crises, and emerging opportunities. If you need a fixed playbook to succeed, this isn’t the role for you.

Building is the job. You will use Axon’s platform — AI Era, agents, workflows, integrations, and data tools — to design, build, and ship new capabilities on site. You own outcomes end to end across deployment, adoption, optimization, and ongoing success — as the accountable owner, not a coordinator of other teams’ work.

Onsite Building & Platform Delivery

• Discover agency problems onsite and translate them into buildable, compliant solutions tied to mission outcomes
• Design and ship working tools on Axon’s platform: AI agents, workflows, automations, integrations, and data pipelines — built and tested with real users and real data
• Build with Axon products, not around them — configure, integrate, and extend DEMS, Fusus, AI Era, Records, and related systems in the agency environment
• Iterate in the field until adoption sticks, then document patterns for reuse across accounts
• Apply responsible innovation guardrails — CJIS, evidence integrity, privacy — in every build. Ship working software, not slideware
• Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and Services when builds or integrations break

AI Build & Adoption

• Build and deploy AI-powered workflows (agents, prompts, RAG, evaluations) that solve defined agency problems — not generic experimentation
• Drive hands-on adoption with the people who use what you build daily
• Measure whether changes stick — usage, workflow impact, mission outcomes — and iterate when they don’t

Operational Transformation & Leadership

• Assess workflows onsite, identify friction and mission impact, and define what to build before you build it
• Move from reactive support to proactive outcome design — arrive with hypotheses, validate with command staff and operators, then build to match
• Build trusted relationships with agency leadership and operational stakeholders; lead QBRs, mission reviews, and strategic planning
• Define success metrics and capture baselines before major deployments so impact is proven, not assumed

Field Intelligence & Growth

• Capture customer insights, workflow patterns, and adoption barriers; share field intelligence with Product and Engineering to influence roadmap decisions
• Turn one-off builds into reusable playbooks and operational frameworks
• Identify expansion opportunities based on demonstrated impact; partner with Sales on long-term account strategy

Onsite Engagement & Outcomes

• Maintain consistent onsite presence (approximately 3-4 days/week), closely connected to agency operations and evolving needs
• Track customer success metrics: time-to-first-production-use, adoption depth by role and site, workflow improvements, and mission outcomes
• Support Sales → Post-Sales onboarding and handoff, establishing goals and accountability from day one

What You Bring

Required

• Experience in customer-facing technical roles, program management, operational transformation, or complex deployment environments (typically 8+ years; varied experience welcome)
• Former law enforcement or military experience preferred, not required
• Proven builder: you have shipped working automations, agents, workflows, integrations, or AI-enabled tools in customer environments — configuring products, writing integration logic, and delivering production-ready solutions. Using AI to assist is expected; owning the build is required
• Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
• Strong communication with both technical teams and senior stakeholders, including command staff in mission-critical environments
• Full ownership mentality in ambiguous, fast-changing environments; ability to navigate competing priorities across Product, Engineering, Sales, Support, and Services
• Ability to obtain and maintain CJIS compliance and adhere to security standards

Preferred

• Experience in public safety, law enforcement, corrections, or other mission-critical operational environments
• Familiarity with Records, Evidence, digital workflows, AI-enabled platforms, or integrated public safety ecosystems
• Background in forward-deployed engineering, solutions architecture, or operational transformation at scale

Additional Information

We recognize that candidates may bring strengths from different backgrounds and experiences. If your experience aligns closely with this role, we encourage you to apply.

This role is for builders who earn trust in the room — not for those looking for a predictable schedule or narrowly defined responsibilities. Every week looks different. That’s the job.

Benefits that Benefit You

• Competitive salary and 401(k) with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and vision plans
• Fitness programs
• Emotional and mental wellness support
• Learning and development programs
• And yes, we have snacks in our offices

Don’t meet every single requirement? That’s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This isn’t a relationship management role. It’s an ownership role. Sharp. Adaptable. Unstoppable.

You won’t wait to be asked. You’ll identify what’s broken before it becomes a problem, build solutions that didn’t exist yesterday, and earn the kind of trust that makes you indispensable to the agency — and to Axon.

In this embedded role, you are the primary owner of customer outcomes within a strategic account — accountable for the full lifecycle of Axon’s ecosystem. You combine deep technical expertise, builder instinct, operational leadership, and executive presence to help agencies transform how they operate, not just adopt software. You embed for the long haul: opening the laptop onsite, shipping on Axon’s stack, holding the room when it matters, and iterating on what you build until it sticks in production.

Success is measured by the agency’s operational outcomes and working solutions in production — not product health, not activity, not slideware.

What You’ll Do

This role is intentionally undefined in the day-to-day. Priorities shift with agency mission tempo, operational crises, and emerging opportunities. If you need a fixed playbook to succeed, this isn’t the role for you.

Building is the job. You will use Axon’s platform — AI Era, agents, workflows, integrations, and data tools — to design, build, and ship new capabilities on site. You own outcomes end to end across deployment, adoption, optimization, and ongoing success — as the accountable owner, not a coordinator of other teams’ work.

Onsite Building & Platform Delivery

• Discover agency problems onsite and translate them into buildable, compliant solutions tied to mission outcomes
• Design and ship working tools on Axon’s platform: AI agents, workflows, automations, integrations, and data pipelines — built and tested with real users and real data
• Build with Axon products, not around them — configure, integrate, and extend DEMS, Fusus, AI Era, Records, and related systems in the agency environment
• Iterate in the field until adoption sticks, then document patterns for reuse across accounts
• Apply responsible innovation guardrails — CJIS, evidence integrity, privacy — in every build. Ship working software, not slideware
• Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and Services when builds or integrations break

AI Build & Adoption

• Build and deploy AI-powered workflows (agents, prompts, RAG, evaluations) that solve defined agency problems — not generic experimentation
• Drive hands-on adoption with the people who use what you build daily
• Measure whether changes stick — usage, workflow impact, mission outcomes — and iterate when they don’t

Operational Transformation & Leadership

• Assess workflows onsite, identify friction and mission impact, and define what to build before you build it
• Move from reactive support to proactive outcome design — arrive with hypotheses, validate with command staff and operators, then build to match
• Build trusted relationships with agency leadership and operational stakeholders; lead QBRs, mission reviews, and strategic planning
• Define success metrics and capture baselines before major deployments so impact is proven, not assumed

Field Intelligence & Growth

• Capture customer insights, workflow patterns, and adoption barriers; share field intelligence with Product and Engineering to influence roadmap decisions
• Turn one-off builds into reusable playbooks and operational frameworks
• Identify expansion opportunities based on demonstrated impact; partner with Sales on long-term account strategy

Onsite Engagement & Outcomes

• Maintain consistent onsite presence (approximately 3-4 days/week), closely connected to agency operations and evolving needs
• Track customer success metrics: time-to-first-production-use, adoption depth by role and site, workflow improvements, and mission outcomes
• Support Sales → Post-Sales onboarding and handoff, establishing goals and accountability from day one

What You Bring

Required

• Experience in customer-facing technical roles, program management, operational transformation, or complex deployment environments (typically 8+ years; varied experience welcome)
• Former law enforcement or military experience preferred, not required
• Proven builder: you have shipped working automations, agents, workflows, integrations, or AI-enabled tools in customer environments — configuring products, writing integration logic, and delivering production-ready solutions. Using AI to assist is expected; owning the build is required
• Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
• Strong communication with both technical teams and senior stakeholders, including command staff in mission-critical environments
• Full ownership mentality in ambiguous, fast-changing environments; ability to navigate competing priorities across Product, Engineering, Sales, Support, and Services
• Ability to obtain and maintain CJIS compliance and adhere to security standards

Preferred

• Experience in public safety, law enforcement, corrections, or other mission-critical operational environments
• Familiarity with Records, Evidence, digital workflows, AI-enabled platforms, or integrated public safety ecosystems
• Background in forward-deployed engineering, solutions architecture, or operational transformation at scale

Additional Information

We recognize that candidates may bring strengths from different backgrounds and experiences. If your experience aligns closely with this role, we encourage you to apply.

This role is for builders who earn trust in the room — not for those looking for a predictable schedule or narrowly defined responsibilities. Every week looks different. That’s the job.

Benefits that Benefit You

• Competitive salary and 401(k) with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and vision plans
• Fitness programs
• Emotional and mental wellness support
• Learning and development programs
• And yes, we have snacks in our offices

Don’t meet every single requirement? That’s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

About the Company:

Netomi is the leading agentic AI platform for enterprise customer experience. We work with the largest global brands like Delta Airlines, MetLife, MGM, United, and others to enable agentic automation at scale across the entire customer journey. Our no-code platform delivers the fastest time to market, lowest total cost of ownership, and simple, scalable management of AI agents for any CX use case. Backed by WndrCo, Y Combinator, and Index Ventures, we help enterprises drive efficiency, lower costs, and deliver higher quality customer experiences.

Want to be part of the AI revolution and transform how the world’s largest global brands do business? Join us!

About the Role:

Netomi is seeking a Senior Customer Architect to own the technical arc of our most complex strategic enterprise accounts — multi-brand, multi-region programs with demanding security, compliance, and scale requirements. Reporting into our Customer Engineering organization, you will own the relationship from signed deal to expanded, in-production, governed value: the agent architecture, the integration blueprint, the adoption roadmap, and the evidence that it’s working.

Getting an AI agent live is no longer the hard part. The hard part is what comes after the pilot: expanding from one use case to twenty, holding quality as policies and systems change underneath you, proving containment and CSAT to a CIO, and earning the right to the next set of journeys. On our largest accounts, that work needs a senior named technical owner. That owner is the Senior Customer Architect.

You are deeply credible in a design review — able to read an execution trace, reason about why an agent chose the wrong tool, and design guardrails and evaluation strategy. You set the architecture and own quality sign-off; our Agentic Deployment team executes. Beyond your own portfolio, you raise the bar for the whole function: you mentor Customer Architects, lead playbook development for a vertical, and represent the function in the accounts where the stakes are highest. The operating principle: make deployments prescriptive and repeatable, not bespoke.

Responsibilities:

Account Architecture:

• Design the end-to-end agent architecture across the customer’s journeys and channels — chat, email, voice, SMS, in-app — including agent decomposition, escalation and handoff design, and how autonomous and human-in-the-loop modes divide the work.
• Design the integration blueprint against the customer’s real stack: CRM and ticketing (Salesforce, Zendesk, ServiceNow), telephony and contact center, identity, loyalty and reservations systems, order and payments, and data platform.
• Set the guardrail, governance, and observability architecture: define what the agent must never do, how that is enforced, how it is audited, and what the customer’s compliance and risk teams see.
• Set the architecture and governance standard the Agentic Deployment team executes against, and own quality sign-off before anything reaches production.

Technical Success Planning:

• Author and maintain a Technical Success Plan per account: current-state architecture, target-state architecture, the sequenced roadmap between them, and the metrics defining success at each stage.
• Define the measurement model with the customer up front — containment, resolution rate, CSAT/DSAT, deflection economics, handle time, escalation quality, cost per resolution — and hold both sides to it.
• Run a recurring technical business review with customer leadership: what shipped, what it moved, what’s next, and what’s at risk.

Adoption & Technical Expansion:

• Own the technical expansion path for land-and-expand: chat to email to voice to employee-facing, plus new intents, lines of business, regions, and languages.
• Identify expansion opportunities from technical reality rather than wishful mapping, size the work honestly, and hand qualified opportunity to the account team.
• Anticipate what breaks at the next order of magnitude — peak-event volume, new policy regimes, upstream system migrations — and get ahead of it in the roadmap.

Trusted Technical Advisor:

• Hold the primary technical relationship with senior stakeholders: VP/Head of Customer Experience, Director of Contact Center Technology, enterprise architects, security and compliance leadership, and often the CIO.
• Advise on the parts of the program Netomi doesn’t own — knowledge base quality, policy clarity, agent operating model, org readiness — because agent performance depends on all of it.
• Deliver hard technical news early and clearly. Credibility is built on accurate expectation-setting, not optimism.

Partner Co-Delivery:

• Set the architecture and quality standard that SI delivery partners build against.
• Certify and enable partner delivery teams; scale through them rather than absorbing all delivery work.
• Maintain quality sign-off regardless of who executes.

Prescriptive Playbooks:

• Contribute to vertical deployment blueprints — airline, insurance, gaming, media — covering reference architecture, guardrail configuration, evaluation packs, and expansion paths.
• Turn what works in one account into prescriptive onboarding and day-2 playbooks the whole organization deploys from.

Product Collaboration:

• Translate field observation into specific, evidenced, pattern-based product input — quantified, not anecdotal.
• Be a named internal voice on enterprise requirements: security posture, deployment topology, model flexibility, and auditability.

Escalation & Incident Response:

• Lead the technical side of escalations: quality regressions, integration failures, and incidents during peak events.
• Drive root-cause analysis with Engineering and communicate it to the customer with precision and appropriate accountability.

Practice Leadership:

• Mentor Customer Architects on architecture decisions, account strategy, and stakeholder management; review their Technical Success Plans and quality sign-offs.
• Lead playbook and reference architecture development for a core vertical, and drive its adoption across the account portfolio.
• Take the first-of-kind deployments — new channels, new verticals, new deployment topologies — and turn what you learn into standards others execute against.

Requirements:

• 10+ years in customer-facing technical roles — solutions architecture, technical account management, forward-deployed engineering, implementation architecture, or technical consulting — including sustained ownership of post-sales technical outcomes.
• Demonstrated ownership of multiple concurrent enterprise accounts at Fortune 500 scale, including programs spanning brands, regions, or lines of business, with senior technical stakeholders and real consequences to failure.
• Genuine technical depth: reads code and API documentation, reasons about distributed systems and integration architecture, debugs a failing data flow, and holds their own with a customer’s principal engineer.
• Working understanding of LLM-based systems — prompting, tool use, retrieval, evaluation, guardrails, failure modes — and judgment about where they are and aren’t the right answer.
• Consultative and prescriptive: builds playbooks, not one-offs.
• Moves between a CIO conversation about business outcomes and an engineering conversation about trace-level agent behavior without losing either audience.
• Comfort with ambiguity and a bias toward writing things down.
• Track record mentoring or leading other architects or senior technical ICs, formally or informally, and raising the standard of the work around them.

Preferred Qualifications:

• Experience co-delivering through SI partners — enabling delivery teams rather than doing all the work directly.
• CX, contact center, or conversational AI background — CCaaS, CRM/ticketing ecosystems, IVR and voice, workforce management.
• Depth in a core vertical: airlines and travel, media and streaming, gaming and sports betting, financial services and insurance, or retail.
• Familiarity with enterprise security and compliance — SOC 2, HIPAA, GDPR, PCI, ISO 27001 — without escalating to Legal for every question.
• Experience designing evaluation frameworks or quality programs for non-deterministic systems.

Disclaimer: For all United States-based applicants, please note that Netomi participates in E-Verify for the purpose of work authorization. More information on E-verify can be found here and here.

Netomi is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Você é apaixonado(a) por tecnologia e inovação? 💡 No Grupo SysMap – que reúne SysMap Solutions, TriggoLabs e – acreditamos que grandes resultados nascem de pessoas incríveis.

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we’re revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally.

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Legal Operations Senior Manager to our Legal team in Brazil!

The Legal Operations Senior Manager strategically leads the global Legal Operations function, directing high-value operational legal projects and setting the roadmap for the automation and management of contracts, litigation management systems, and the legal team’s knowledge management practices. This role ensures the seamless and continuous functioning of all operational processes and maintains up-to-date legal knowledge bases. A critical responsibility is defining and driving the Legal team’s AI strategy, with the ability to evaluate, pilot, and implement AI tools, and to clearly articulate how AI can drive measurable productivity, efficiency, and quality improvements for the legal department, both in the short and long-term. This role shall be responsible for effectively and strategically translates the Legal team’s needs into increasingly scalable operations. The role serves as a recognized, trusted advisor to Legal and Leadership teams, leveraging advanced competence in strategic project management, hands-on AI fluency and the ability to translate AI capabilities into concrete legal workflow improvements, executive communication, and cross-functional influence to ensure deep alignment with global business objectives.

YOUR IMPACT

• Define and lead the strategic direction for the Legal Operations team, acting as a functional leader for all global legal technology and process initiatives.
• Serve as a recognized, trusted advisor to Legal and Leadership teams, influencing decisions by presenting legal and corresponding business rationales.
• Independently lead complex, high-value, and cross-functional organizational projects with a global scope, balancing short-term business needs with long-term strategic implications.
• Set the AI and technology roadmap for the Legal department, identifying specific use cases, defining expected productivity and quality outcomes at each stage, and communicating a clear business case to stakeholders.
• Proactively anticipate regulatory shifts and technological evolution.
• Provide direct supervision to the Legal Ops team, offering strategic mentorship and support for their performance and development while ensuring alignment with company objectives.
• Manage talent acquisition, hiring, and onboarding for new team members to ensure the team is staffed to full capacity.
• Cultivate and maintain strategic relationships with Legal Leadership and cross-functional partners (e.g., Business, Finance, and Product Development) to drive key strategic initiatives.
• Oversee the management and optimization of the legal-related automation solutions, including the maintenance of all associated contractual templates.
• Evaluate and pilot AI tools and process improvements across the Global Legal department, building a prioritized use-case roadmap with defined, measurable productivity, efficiency, and quality outcomes at each stage.
• Manage and oversee all legal knowledge bases (e.g., intranet, CMS, LMS) to ensure they are current and accessible for the team and internal clients.
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

• A Bachelor’s Degree in Information Systems, Business Administration, Law, Production Engineering, Computer Science, or a related field is required.
• Hands-on experience using and evaluating AI tools in a professional context (e.g., contract review automation, legal research, document drafting, workflow automation), with the ability to articulate how specific AI applications drive productivity, efficiency, and quality gains for a legal team across short-, medium-, and long-term horizons.
• Prior experience working with Salesforce as a CRM/ CLM is a plus;
• Good proficiency in Excel.
• A minimum of 7 years of professional experience in roles with comparable scope and responsibilities (e.g., Legal Operations, legaltech, consultancy, or comparable Operations functions) is required, including at least 2 years spent directly managing or leading a team;
• Hands-on evaluating, piloting, and implementing Legal Operations technology — including AI tools — with demonstrable examples of delivering or articulating productivity, efficiency, or quality improvements (e.g., AI Legal Technology, Contract Lifecycle Management, Litigation management system);
• Experience in Legal Operations and/or at a legaltech, consultancy company or comparable experience in other Operations areas (e.g., Sales Ops, Finance Ops, Marketing Ops);
• Experience with data visualization tools such as Tableau, Looker or Power BI;
• Demonstrated, significant experience in large-scale, global project management and delivery.
• Fluent English is mandatory.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life.

Our flexible benefits program allows you to customize some of the benefits, according to your needs!

Our benefits include:

WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.

WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content.

HEALTHCARE: Health, dental, and life insurance.

FLEXIBLE WORK: As a Flexible First company, we offer hybrid and remote options to give you the freedom to work in a way that suits you. The model for this specific role can be discussed with your recruiter and hiring manager. When you join, use our home office reimbursement to set up your home office.

FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here.

Want to see what it’s really like to work here? Follow us on Instagram @lifeatwellhub and watch our team video on YouTube !

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong.

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos.

#LI-REMOTE

Headquarters: Remote-US

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.

Work is being redesigned, and Airtable is built for that moment: the same platform humans run their most critical workflows on is where agents now operate alongside them. Professional Services is where that redesign happens.   The Senior Solutions Architect leads it. You hear a customer describe their problem and see the organizational design question underneath it. You bring a point of view early, design solutions that hold through delivery, and stay accountable for outcomes, not just recommendations. Depending on the engagement, you may own solution design, contribute to the build, lead delivery coordination, or all three.

What you'll do

• Push to recommendations faster. Within the first engagements you are shaping direction and identifying where business processes need to change, not just mapping requirements. Enhanced handoffs and early POVs are how we create value at enterprise scale.
• Recommend changes beyond the platform when the engagement calls for it: process redesign, workflow ownership, how work moves between teams and between humans and agents.
• Design end-to-end solutions that translate existing enterprise workflows into architectures where humans and agents operate together.
• Identify where agentic workflows create real leverage and design the handoffs that make them reliable in production.
• Navigate organizational complexity: build coalitions, manage stakeholders with competing priorities, and find the internal champions who sustain momentum.
• Create reusable solution patterns and reference architectures that extend impact beyond individual engagements.
• Stay involved through delivery. Adapt the design as customer reality evolves. Hold accountability for what gets built.

Who you are

• AI is embedded in how you work, not something you reach for on select tasks. You use AI tools to compress your own output: generating solution blueprints, structuring discovery, drafting documentation, prototyping automation logic. You have designed agentic workflows in practice, making decisions about model selection, prompt architecture, human-in-the-loop checkpoints, and where AI should not be trusted without oversight. You walk into a customer engagement and immediately identify where agentic systems create leverage versus where they introduce risk the customer isn't ready to manage.
• You have a business process transformation background. You have led engagements where the deliverable was a change in how an organization operates, not just a software deployment.
• 7+ years in client-facing delivery, consulting, or enterprise transformation, with a track record of leading complex engagements at VP and C-suite level.
• Professional services or management consulting background. You know what it means to deliver to a statement of work and be accountable for outcomes.
• You communicate across the full room: C-level sponsors, technical stakeholders, and the business SMEs whose daily work is changing. You know what each audience needs to hear and how to earn their trust.
• You hear what a customer is not saying as clearly as what they are, and you bring a point of view on what they should do, not just what the options are.
• Enterprise scale: thousands of users, multi-business unit complexity, compliance and security requirements that shape what can be built and when.

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. 

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.

Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.

For work locations in the San Francisco Bay Area, Seattle, Los Angeles, and New York, the on-target earnings range for this role is:$170,000—$236,900 USDFor all other work locations (including remote), the on-target earnings range for this role is:$153,000—$213,200 USD

Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here.

For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process.

Stay Safe from Job Scams
All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.

To apply: https://weworkremotely.com/remote-jobs/airtable-senior-solutions-architect-west-coast

Elite is the trusted automation platform for law firm operations across most of the world’s largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite’s products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.

Position Overview

This role is designed for an AI-fluent individual contributor who helps shape how Elite identifies, evaluates, and applies AI across both enterprise functions and product. The position partners closely with leaders and delivery teams to guide ideation around AI and agentic automation use cases, helping teams move from opportunity framing to practical implementation paths.

The position combines hands-on technical depth with strong strategic judgment. It drives the exploration, experimentation, and rapid prototyping of emerging AI technologies, tools, and implementation patterns, while influencing the company’s broader AI direction through practical insight and demonstrated results. Rather than owning large-scale delivery directly, this role accelerates learning, informs decision-making, and helps establish scalable approaches that teams can adopt across the organization.

Work Arrangement:​Remote​

This role requires the individual to be based in ​Flexible across U.S. time zones​time zone.

Responsibilities

• Guide business, product, and technology teams through ideation for AI and agentic automation opportunities, helping frame use cases, value hypotheses, feasibility, and implementation approaches
• Drive exploration of emerging AI technologies, tools, and patterns to assess their applicability across enterprise and product scenarios
• Lead experimentation and rapid prototyping to validate new ideas, reduce uncertainty, and accelerate learning before broader investment or delivery
• Develop proof-of-concepts and reference implementations that demonstrate practical approaches for AI-enabled workflows, copilots, and agentic automation
• Influence enterprise and product AI strategy by surfacing insights from experimentation, identifying patterns, and recommending high-value opportunities and technology directions
• Partner with product, engineering, architecture, and business stakeholders to translate promising ideas into scalable implementation plans and adoption paths
• Help define practical standards, reusable patterns, and guardrails for responsible AI and agentic solution design
• Act as a trusted internal advisor on AI trends, tradeoffs, and emerging capabilities, bringing a pragmatic perspective grounded in hands-on experience
• Build organizational confidence and fluency in AI by helping teams understand what is possible, what is practical, and how to move forward effectively
• Reduce fragmentation by standardizing AI tools and approaches across teams while enabling innovation where it drives value
• Contribute thought leadership that strengthens Elite’s long-term AI vision while balancing innovation, practicality, security, and business value
• Perform other duties as assigned to support departmental and company objectives.​

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field, or an equivalent combination of education and hands-on experience
• 9+ years strong experience in AI/ML, software engineering, data platforms, solution architecture, or related technical roles, with demonstrated hands-on work in modern AI technologies
• Hands-on experience with Generative AI, including large language models, prompt engineering, retrieval patterns, orchestration frameworks, and AI-enabled workflow automation
• Demonstrated ability to explore new technologies quickly, build prototypes, and turn ambiguous ideas into practical recommendations and next steps
• Experience guiding cross-functional teams through technical discovery, use case shaping, experimentation, and early implementation planning
• Strong understanding of emerging AI patterns such as copilots, multi-step orchestration, agentic workflows, evaluation approaches, and human-in-the-loop design
• Ability to influence senior stakeholders and strategy through clear communication, credible technical judgment, and practical insight
• Experience balancing innovation with responsible AI considerations, including data governance, security, compliance, and operational practicality
• Ability to travel up ​ 10–25% ​ as business needs require
• Role requires the following physical capacity:​​Sedentary: primarily desk/computer work​
• Must be legally authorized to work in​​United States​; ​Elite does not provide employment sponsorship for this position​

Benefits:

• Competitive Compensation Package ($202,500-$225,000 base salary + variable component)
• Comprehensive Healthcare Coverage (Health, Dental, Vision)
• Retirement Savings Plan with an Employer Contribution
• Professional Development Opportunities
• Time Off
• Wellness Initiatives
• Employee Assistance Program
• Generous Global Parental Leave
• Calm, free premium subscription
• Employee Discount Program

Elite may use technology, including artificial intelligence-enabled tools, to assist in aspects of the recruiting and employment process. These tools are used to support, but not replace, human decision-making.

Please note that we do not offer sponsorship for this position.

Additional Information

At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter.

In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment.

Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma .

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

We are not accepting applications submitted through recruiting agencies.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

We are looking for a Applied AI Solutions Architect to join our Applied AI team. In this role, you will translate complex business challenges into practical, production-ready Applied AI solutions that deliver measurable value for our clients. You will collaborate closely with client stakeholders, senior architects, and cross-functional delivery teams to design and guide implementation of robust AI systems. You will help move AI initiatives from experimentation to production while ensuring reliability, scalability, governance, and responsible AI adoption.

Key Responsibilities

• Lead the design of end-to-end Applied AI architectures that span predictive ML, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation aligned to client objectives and constraints.
• Translate ambiguous business requirements into clear solution designs, technical requirements, implementation roadmaps, and measurable success criteria for client engagements.
• Guide and contribute hands-on to prototypes, proofs of concept, and production implementations, ensuring high-quality delivery, robust integrations, and smooth transition into reliable production operations.
• Partner with client and internal stakeholders through discovery sessions, architecture workshops, and roadmap discussions to evaluate AI opportunities, recommend technology choices, and de-risk complex technical decisions.
• Ensure production AI systems are designed and implemented with strong attention to security, observability, evaluation, governance, cost-effectiveness, and ongoing monitoring, retraining, and support.

About You

You are a technically rigorous, client-focused problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions, including at least 5 years designing or leading AI, machine learning, MLOps, or data-intensive solutions in production.

Technical / Functional Skills

• Strong understanding of Applied AI and modern machine learning systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, and agentic architectures.
• Hands-on experience with production AI/ML systems, including evaluation, observability, security, governance, and operational support.
• Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or similar frameworks.
• Proficiency with programming and software development, preferably in Python, and strong working knowledge of SQL.
• Proven ability to translate business and technical requirements into architectures, solution designs, and actionable implementation plans.

Education - If desired

• Bachelor’s or master’s degree in computer science, engineering, data science, or a related technical field, or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience with agentic AI systems, including orchestration, tool use, planning, memory, multi-agent patterns, or protocols such as MCP.
• Experience designing and deploying enterprise RAG systems, semantic retrieval, AI applications, or intelligent workflow automation.
• Experience with cloud-native AI/ML services such as AWS Bedrock and SageMaker, Azure AI/ML, Google Vertex AI, or Snowflake Cortex.
• Experience with model registries, feature stores, data and model lineage, model monitoring, drift detection, AI evaluations, prompt management, or AI gateways.
• Experience building reusable accelerators, modular architectures, or solutions deployed across multiple clients, and contributing to proposals, workshops, demonstrations, or broader technical communities.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

What You Will Do:

• Design and build V as the primary agentic interface for getting work done across Vercel, from answering questions and analyzing data to executing complex, multi-system workflows.
• Build the agent architecture that allows V to understand intent, plan work, select the right skills and tools, recover from failures, and complete long-running tasks reliably.
• Ship polished experiences across Slack, web, and other surfaces, combining natural-language interaction with rich, interactive interfaces when chat alone is not enough.
• Develop evaluation, observability, and feedback systems that measure whether V’s answers and actions are accurate, useful, efficient, and trustworthy.
• Establish primitives that make it easy for teams across Vercel to contribute new capabilities without creating fragmented agents or inconsistent user experiences.
• Help define what it means for a company to be operated through an agent and turn what we learn building V into ideas and infrastructure that can eventually benefit Vercel’s customers.

About the Role:

• You have 7+ years of full-time software engineering experience and strong TypeScript proficiency.
• You are comfortable working across product surfaces and system boundaries, from conversational UI and interactive data experiences to APIs, queues, databases, permissions, and production infrastructure.
• You care about the quality of AI interactions: context selection, tool use, memory, latency, generated interfaces, uncertainty, and how the system communicates progress and asks for help.
• You have a track record of openness and adaptability. You have moved into unfamiliar technologies, domains, or responsibilities and learned quickly. This space is changing too quickly for fixed expertise to matter more than curiosity and judgment.
• Experience with using and building agent harnesses (OpenClaw, Hermes, Pi, etc) is a plus but not required

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

This role requires travel to local customer sites. Our engineers work daily with AI coding tools such as Claude Code, Codex, and Cursor. The specific tools evolve over time.

AI at BambooHR

At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

Essential Job Duties

BambooHR builds HR software that small and mid-sized businesses run on every day. We are looking for software engineers who use AI to build production-quality software. As a Senior Forward Deployed Engineer, you own the complete customer engagement cycle, from first discovery session to deployed solution. Engagements are focused, time-boxed, and built for SMB customers.

You are driven to solve real customer problems, and you scope, build, and ship with full autonomy. The AI tools and capabilities are changing rapidly. To stay resilient through change, you prioritize curiosity and continual learning, and you actively apply new best practices. You are accountable for what ships: its correctness, its reliability, and its fit to the problem it was built to solve.

You will:

• Lead on-site and video-based discovery sessions with customers to understand workflow challenges and produce a clear definition of what to build.
• Define project scope and deliverables with customers, setting realistic timelines and managing expectations through delivery.
• Build AI-powered agents, custom tools, and automated workflows for each customer’s HR needs, deployed within the BambooHR platform.
• Learn each customer’s internal systems and data sources to design integrations that fit their environment.
• Construct each solution so it can be adapted for customers with similar needs.
• Validate every solution for correctness, reliability, and fit before it reaches the customer.
• Transition completed engagements to the tools team with thorough documentation for clean handoffs and maintainability.
• Surface field learnings as product insights, sharing patterns and opportunities that belong in the BambooHR core product.
• Partner with Product, Engineering, and Customer Experience on roadmap opportunities identified through field work.
• Contribute to the Forward Deployed Engineering practice by applying its engagement playbooks, scoping frameworks, and handoff standards, and improving them from what each engagement teaches.

What You Need to Get the Job Done

• 5+ years of software engineering experience with a record of shipping production software.
• Sound judgment for when to build custom solutions and when to extend existing patterns for reuse.
• Full-stack development experience, building and shipping independently.
• Proficiency in designing systems, data models, and architecture, including performance and data-flow tradeoffs.
• Track record of building and deploying AI agents and AI-powered solutions.
• Fluency in context engineering: structuring repo and task context so agents execute reliably.
• Confidence reading unfamiliar code and running root-cause analysis to debug it.
• Demonstrated ability to review code for security and privacy risks: injection, data-handling, and unsafe generated output.
• Experience with test design and test evaluation harnesses.
• Proven ability to follow safe release practices: CI/CD, feature flags, staged rollout, and rollback.
• Depth in writing clear technical documentation for both people and agents.
• Strong written and verbal communication, including conveying customer needs, proposed solutions, and technical decisions to technical and non-technical audiences.
• Prior consulting or client-facing delivery experience is a plus.

What You’ll Love About Us

• A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
• Comprehensive health, life, and disability insurance
• Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
• 401k plans with up to 6% company match
• $2000 Paid-Paid Vacation bonus
• EAP through Headspace
• Check out all our benefits that benefit you

About Us

At BambooHR, we’re building something different: we’re building a people intelligence platform that transforms HR and sets people free to do great work! We’re a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you’ll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn’t just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer–M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

For information on California Privacy Policy, click here.

Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details.

See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

What You Will Do:

• Design and build V as the primary agentic interface for getting work done across Vercel, from answering questions and analyzing data to executing complex, multi-system workflows.
• Build the agent architecture that allows V to understand intent, plan work, select the right skills and tools, recover from failures, and complete long-running tasks reliably.
• Ship polished experiences across Slack, web, and other surfaces, combining natural-language interaction with rich, interactive interfaces when chat alone is not enough.
• Develop evaluation, observability, and feedback systems that measure whether V’s answers and actions are accurate, useful, efficient, and trustworthy.
• Establish primitives that make it easy for teams across Vercel to contribute new capabilities without creating fragmented agents or inconsistent user experiences.
• Help define what it means for a company to be operated through an agent and turn what we learn building V into ideas and infrastructure that can eventually benefit Vercel’s customers.

About the Role:

• You have 7+ years of full-time software engineering experience and strong TypeScript proficiency.
• You are comfortable working across product surfaces and system boundaries, from conversational UI and interactive data experiences to APIs, queues, databases, permissions, and production infrastructure.
• You care about the quality of AI interactions: context selection, tool use, memory, latency, generated interfaces, uncertainty, and how the system communicates progress and asks for help.
• You have a track record of openness and adaptability. You have moved into unfamiliar technologies, domains, or responsibilities and learned quickly. This space is changing too quickly for fixed expertise to matter more than curiosity and judgment.
• Experience with using and building agent harnesses (OpenClaw, Hermes, Pi, etc) is a plus but not required

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This isn’t a relationship management role. It’s an ownership role. Sharp. Adaptable. Unstoppable.

You won’t wait to be asked. You’ll identify what’s broken before it becomes a problem, build solutions that didn’t exist yesterday, and earn the kind of trust that makes you indispensable to the agency — and to Axon.

In this embedded role, you are the primary owner of customer outcomes within a strategic account — accountable for the full lifecycle of Axon’s ecosystem. You combine deep technical expertise, builder instinct, operational leadership, and executive presence to help agencies transform how they operate, not just adopt software. You embed for the long haul: opening the laptop onsite, shipping on Axon’s stack, holding the room when it matters, and iterating on what you build until it sticks in production.

Success is measured by the agency’s operational outcomes and working solutions in production — not product health, not activity, not slideware.

What You’ll Do

This role is intentionally undefined in the day-to-day. Priorities shift with agency mission tempo, operational crises, and emerging opportunities. If you need a fixed playbook to succeed, this isn’t the role for you.

Building is the job. You will use Axon’s platform — AI Era, agents, workflows, integrations, and data tools — to design, build, and ship new capabilities on site. You own outcomes end to end across deployment, adoption, optimization, and ongoing success — as the accountable owner, not a coordinator of other teams’ work.

Onsite Building & Platform Delivery

• Discover agency problems onsite and translate them into buildable, compliant solutions tied to mission outcomes
• Design and ship working tools on Axon’s platform: AI agents, workflows, automations, integrations, and data pipelines — built and tested with real users and real data
• Build with Axon products, not around them — configure, integrate, and extend DEMS, Fusus, AI Era, Records, and related systems in the agency environment
• Iterate in the field until adoption sticks, then document patterns for reuse across accounts
• Apply responsible innovation guardrails — CJIS, evidence integrity, privacy — in every build. Ship working software, not slideware
• Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and Services when builds or integrations break

AI Build & Adoption

• Build and deploy AI-powered workflows (agents, prompts, RAG, evaluations) that solve defined agency problems — not generic experimentation
• Drive hands-on adoption with the people who use what you build daily
• Measure whether changes stick — usage, workflow impact, mission outcomes — and iterate when they don’t

Operational Transformation & Leadership

• Assess workflows onsite, identify friction and mission impact, and define what to build before you build it
• Move from reactive support to proactive outcome design — arrive with hypotheses, validate with command staff and operators, then build to match
• Build trusted relationships with agency leadership and operational stakeholders; lead QBRs, mission reviews, and strategic planning
• Define success metrics and capture baselines before major deployments so impact is proven, not assumed

Field Intelligence & Growth

• Capture customer insights, workflow patterns, and adoption barriers; share field intelligence with Product and Engineering to influence roadmap decisions
• Turn one-off builds into reusable playbooks and operational frameworks
• Identify expansion opportunities based on demonstrated impact; partner with Sales on long-term account strategy

Onsite Engagement & Outcomes

• Maintain consistent onsite presence (approximately 3-4 days/week), closely connected to agency operations and evolving needs
• Track customer success metrics: time-to-first-production-use, adoption depth by role and site, workflow improvements, and mission outcomes
• Support Sales → Post-Sales onboarding and handoff, establishing goals and accountability from day one

What You Bring

Required

• Experience in customer-facing technical roles, program management, operational transformation, or complex deployment environments (typically 8+ years; varied experience welcome)
• Former law enforcement or military experience preferred, not required
• Proven builder: you have shipped working automations, agents, workflows, integrations, or AI-enabled tools in customer environments — configuring products, writing integration logic, and delivering production-ready solutions. Using AI to assist is expected; owning the build is required
• Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
• Strong communication with both technical teams and senior stakeholders, including command staff in mission-critical environments
• Full ownership mentality in ambiguous, fast-changing environments; ability to navigate competing priorities across Product, Engineering, Sales, Support, and Services
• Ability to obtain and maintain CJIS compliance and adhere to security standards

Preferred

• Experience in public safety, law enforcement, corrections, or other mission-critical operational environments
• Familiarity with Records, Evidence, digital workflows, AI-enabled platforms, or integrated public safety ecosystems
• Background in forward-deployed engineering, solutions architecture, or operational transformation at scale

Additional Information

We recognize that candidates may bring strengths from different backgrounds and experiences. If your experience aligns closely with this role, we encourage you to apply.

This role is for builders who earn trust in the room — not for those looking for a predictable schedule or narrowly defined responsibilities. Every week looks different. That’s the job.

Benefits that Benefit You

• Competitive salary and 401(k) with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and vision plans
• Fitness programs
• Emotional and mental wellness support
• Learning and development programs
• And yes, we have snacks in our offices

Don’t meet every single requirement? That’s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.