About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

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 Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

AI Agent Engineer (Skills & Prompts)

Employment Type: Full-Time

Location: Remote, Pakistan

The Role

Pixalate runs AI agents in production against real customer problems: agents that investigate invalid traffic (IVT) for clients, and analytics agents that let customers ask questions of our data directly. These agents are only as good as the instructions and skills behind them.

As an AI Agent Engineer you own that layer. You will write and maintain the system prompts and the agent skills that decide how our agents behave: what they know, which tools they reach for, when they push back, and, critically, when they stop and ask the user a clarifying question instead of guessing. This is engineering work, not prompt tinkering. You will version your changes, measure them against evaluations, and be accountable for agent behaviour in front of real customers. You will work directly with the team building the IQ Agent and Analytics MCP, the client IVT investigator agents, and the MRT MCP.

What You’ll Do

Build and Own Agent Skills

• Author and maintain Claude skills and plugins that define agent capabilities and behaviour
• Design agents that ask clarifying questions and gather requirements interactively, rather than answering one-shot from incomplete information
• Decide what belongs in a skill, what belongs in a system prompt, and what belongs in a tool
• Maintain the skill library as products evolve, treating it as a living surface rather than a one-time build

System Prompts for Production Agents

• Own the system prompts behind Pixalate’s client-facing agents: IVT investigator agents, IQ Agent / Analytics MCP, and MRT MCP
• Version prompts and skills deliberately, with a clear record of what changed and why
• Debug real agent failures: wrong tool selection, hallucinated findings, missed clarifying questions, context exhaustion

Evaluation and Measurement

• Define what “correct” means for each agent and build evaluation suites that test it
• Build ground-truth datasets from real customer scenarios and measure changes against them
• Catch regressions before customers do

Context and Tool Design

• Engineer context strategies: what the agent sees, in what order, within what budget
• Work with engineering on MCP tool surfaces: which tools exist, how they are described, and how those descriptions drive correct selection
• Tune for cost and latency as well as accuracy

Safety and Trust

• Guard against prompt injection, data leakage, and unsafe tool use in customer-facing agents
• Ensure agents represent Pixalate’s findings accurately and do not overstate confidence

What We’re Looking For

• Demonstrable experience building LLM agents that shipped to real users, not prototypes or demos
• Hands-on work with agent skills, plugins, system prompts, or equivalent agent-behaviour tooling
• Evidence of evaluation discipline: you can describe an eval suite you built, the ground truth behind it, and a regression it caught. This is the single most important qualification.
• Strong written English. This role is writing, and the writing is the product.
• Working proficiency in Python or TypeScript, and comfort reading the codebase your agents run in
• Understanding of tool-calling / function-calling and how agents select tools
• Awareness of prompt injection, PII handling, and the failure modes of customer-facing AI
• Comfortable with some U.S. timezone overlap for team meetings
• Ad-tech, digital advertising, or fraud-detection exposure is strongly preferred: programmatic, DSPs, SSPs, CTV, or IVT and ad fraud concepts. If you do not have it, you must be prepared to learn the domain deeply in your first 90 days, because agent quality depends on it.
• Experience with MCP (Model Context Protocol) servers or similar tool-integration standards is a plus
• Experience with observability and tracing for LLM systems is a plus
• Experience with retrieval systems and their failure modes is a plus
• Data analysis background, including SQL and working with large datasets, is a plus

About us

Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites.

We’re seeking an AI Agent Engineer to help build and maintain the production agent systems that directly impact millions of users worldwide. Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:

• UNICEF: Pixalate was recently recognized by UNICEF as a Key Innovator for protecting children’s online privacy. & UNICEF Global Compliance Tech case study
• Gizmodo : An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
• Adweek : A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
• Washington Post : Your kids’ apps are spying on them
• Pro Publica : Porn, Piracy, Fraud: What Lurks Inside Google’s Black Box Ad Empire
• ABC7 News : The State of Children’s Privacy Online
• NBC News : How many apps are tracking your children

Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.Pixalate is an equal opportunity employer committed to building a diverse team.

Our Culture

We believe in small teams that produce high output. Slack is a way of life and short emails are encouraged. We value a fearless attitude and bold ideas. Chess players do well here. Titles don’t mean much - you attain respect by producing results. Everyone’s a data addict and analytical thinker who thrives on collaboration.

What We Offer

At Pixalate, you will have the opportunity to work on pioneering technologies alongside some of the brightest minds in the industry. If you’re passionate about building products that protect millions of users and thrive in a fast-paced, challenging environment, you’ll fit right in.

• A Competitive Compensation Package
• Monthly Internet Reimbursement
• Casual, Remote Work Environment
• Flexible Hours
• Opportunity for Advancement and Professional Development
• Fun Annual Team Events
• Being part of a high-performing global team that wants to win and have fun doing it

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role:

We are seeking a talented and motivated AI Engineering Intern who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our Data Science team and play a key role in designing and building foundational A.I. systems at Sezzle.

What You’ll Do:

• Design A.I. systems from the ground up
• Generate reliable and accurate training data for our A.I. systems
• Collaborate closely with engineers, data analysts, and business end users to build effective systems
• Write accurate and efficient SQL queries

What We Look For:

• Proficiency in SQL and Python
• Solid understanding of data analysis and database structures
• Currently enrolled in a postsecondary institution studying MIS, Business
• Demonstrated experience working with Claude or equivalent large language model tools is required; candidates must be comfortable leveraging AI to enhance productivity, research, and communication.
• Analytics/Data Analytics, Computer

About You:

• You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
• You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
• You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
• You earn trust - you listen attentively, speak candidly, and treat others respectfully.
• You have backbone; disagree, then commit- you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.
• You deliver results- you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

Interview Process:

We believe transparency is important at Sezzle. Regularly providing feedback while setting expectations is part of our culture starting with the interview process. Advancement through each step is not guaranteed.

• Application submitted (you are here)
• Wonderlic test (30-40 min)
• SQL and Python Questions (30 minutes)
• Interview with recruiters (30 min)
• Interview with engineers (1 hour)
• Interview with engineering leadership (30-45 min)
• Offer!

Sezzle’s Technology Stack:

• Languages: Golang, Typescript, Python
• Frontend: Typescript - React and React Native
• Backend: Golang
• Database: MySQL, Postgres, Elasticsearch
• DevOps & Cloud: AWS, Kubernetes
• Version Control: Git
• CI/CD: Gitlab
• Testing: Developer-driven, focus on automated unit, integration, and end-to-end tests
• Sezzle is focused on using open source, and we build what we can before buying!

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

Compensation: The salary for the A.I. Engineering Intern is $1,000 USD monthly gross.

#Li-remote #Full-time

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.

As Solution Consultant, you will be the technical partner of our account executives in France and Belgium. You are the person who translates client needs into concrete solutions built on top of the PriceHubble platform, then delivers them end-to-end.

The role combines:

• Client-facing consulting and solution design (approx. 50%): working alongside account executives to understand client needs, demo the product, scope custom solutions, and communicate clearly with non-technical stakeholders
• Hands-on solution delivery (approx. 50%): configuring, building, and integrating the solutions you scoped, using our stack of APIs, internal and external no-code tools, and automation platforms

Unlike our enterprise track, where a Solution Consultant works in a trinome with an account executive and a dedicated project manager, this role means owning your own project management. You are your own captain: you scope, you build, you deliver, you communicate.

Customer-facing solution design

• Support account executives during discovery and demo calls: explain technical concepts in an accessible way to non-technical audiences
• Analyse business requirements and translate them into structured technical solutions
• Present, defend, and iterate on solutions with clients across French and Belgian markets
• Bring an eye for detail and quality to everything client-facing: microsites, branded pages, reports, communication assets

Hands-on solution delivery

• With Designer support, configure and adapt PriceHubble solutions (property valuation portals, lead engines, ownership dashboards) to client branding and specific needs, using our internal no-code tool Page Builder
• Build API integrations between PriceHubble services and client systems (CRM, forms, portals)
• Wire automation workflows using tools such as n8n or ActivePieces (webhooks, lead routing, notifications, engagement triggers)
• Structure data flows, dossiers, and custom records within the PriceHubble platform
• Test, iterate, and ship: your work goes live to real end users, and you own its quality

Project ownership

• Own project scope, timeline, and delivery for the accounts you support - you are your own project manager

• Coordinate with internal teams (product, engineering, design) to deliver on time and to standard

• Ensure scalability, maintainability, and GDPR compliance across your builds

• Handover finished projects to customer success cleanly, with documentation

• 2-3 years of experience in a Solution Consultant, Technical Project Manager, Sales Engineer, Technical Account Manager, or similar client-facing technical role

• You’re equally comfortable in French and English, close to native level in both. This isn’t a nice-to-have: you’ll be switching between the two every day

• Comfortable presenting to clients and explaining technical topics to non-technical stakeholders in a clear and confident way

• Basic to intermediate technical foundation: you can read API documentation, understand JSON, work with structured data objects, and follow how systems talk to each other

• Exposure to no-code or low-code tools (any of: Bubble, Webflow, Airtable, Notion, Zapier, Make, n8n, ActivePieces, Retool)

• An eye for design, quality, and detail: pixel-perfect matters when you build the customer-facing pages

• Organised, reliable, and comfortable owning your own project management without a dedicated PM

• Well-presented and professional in client-facing settings

Preferred

• Experience with automation platforms (n8n, ActivePieces, Zapier, Make)

• Exposure to AI or LLM-powered workflows (autonomous agents, MCP, voice agents)

• Familiarity with CRM systems (Salesforce, HubSpot) and how to integrate with them

• Understanding of JSON, REST APIs, webhooks, OAuth, and basic HTTP concepts

• Experience in SaaS, proptech, fintech, real estate, or data platforms

• A personal side project or portfolio showing you are a builder

• A CDI and a role with real ownership: you own your accounts, your projects, and your outcomes

• Exposure to modern data platforms, AI-driven workflows, and automation technologies

• Close collaboration with product, engineering, design, and commercial teams across Europe

• An international, fast-growing SaaS environment where you can learn quickly and grow into more senior technical or PM role and professional development opportunities

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.

Hi, we’re The Browser Company 👋 and we’re building a better way to use the internet.

Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they’re our doorway to the most important things — through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don’t actually do a whole lot, they’re kind of just there. They don’t help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more — it can empower and support the amazing things we do on the internet. That’s why we’re building one: a browser that can help us grow, create, and stay curious.

To accomplish this lofty task, we’re building a diverse team of people from different backgrounds and experiences. This isn’t optional, it’s crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens. With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply.

About The Role

At the Browser Company, you will play a crucial role in shaping how Dia interacts with users. This is a hands-on role at the intersection of product and AI engineering: you will define Dia’s intended behavior, ship prompt and code changes that deliver it, and own evals that measure quality and cost. The work spans the full stack of modern AI product development: prompting, tools, model selection, agent harnesses, and evaluation systems.

You’ll report to our Model Behavior Lead and work closely with engineering and product. You’ll have high impact and own problems end to end: understanding what users need, deciding the right approach, shipping the change, and proving it worked.

Overall you will…

• Shape Dia’s AI experience. Figure out what the right behavior is for users, then find the best path to it — a prompt change, a new tool, a different model or harness, better evals, or a spec that aligns the team.

• Ship every week. This is a hands-on role: you’ll be in the prompts, the code, and the data yourself, making changes that reach users continuously.

• Improve systematically. Ground your work in evals that make quality trackable, so improvements hold up over time and the team can raise the bar faster with every iteration.

• Build the tools that make us faster. Spot where the team’s workflow is slow or manual and partner with engineering (or build it yourself) to create the internal tooling that lets us iterate at scale.

• Keep us at the frontier. AI moves fast, and Dia has to move with it. You’ll test new models as they ship, evaluate new harnesses, and prototype AI architecture strategies and push the ones that matter into how we build.

Recent examples of projects the Model Behavior team led:

• Morning Brief. Prototyped our best performing feature of all time. The Morning Brief started as an idea from our Head of Engineering and was handed to Model Behavior to shape and bring to life. It required forming an opinion around what a morning brief should include, how to present it, and finally how to ensure quality was acceptable.

• Chat architecture. Our move to an agent harness began as a prototype over our winter shutdown. It now powers Dia’s chat, and it’s the latest in a line of upgrades the team has led since GPT-3.5.

Qualifications

• 4+ years of experience in product, design, or adjacent builder roles. You have hands-on experience taking a product from concept to its initial release (v1). Previous experience as a founder is a plus.

• You think in systems. You can take an ambiguous problem, break it into something measurable, and design the evals to steer it. You can navigate when to decide on a short improvement fix versus investing in systematic fixes.

• You work inside AI tools daily. Codex, Claude Code, or Cursor are core parts of your workflow, and you can articulate the reasoning behind your tooling choices. You try new models and harnesses as they ship, and fold what works into how you build.

• You want to be an IC. This is a hands-on role where you’ll be in the prompts, code, and data yourself. You will put up multiple PRs weekly.

• You’re here to make an impact. Model Behavior is a small, high-output team working at the core of all our AI features. We move fast and take on hard problems, which means you’ll be learning constantly and growing quickly.

• We’re primarily focused on hiring in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone.

Compensation and Benefits

• Our total compensation package for full-time employees includes base salary, equity, and benefits. The annual salary range for this role is $200,000 - $275,000 USD. The actual salary offered will vary based on experience level and interview performance.

• Benefits: We also offer a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. To learn more, visit go.atlassian.com/perksandbenefits.

• Location: We’re a remote-friendly company and can hire in any country where Atlassian has a legal entity. If you live in New York (or want to visit), you’re welcome to work from our beautiful office in Williamsburg.

The Browser Company is an ambitious team of close to 100 people (and growing!) who are passionate about building great products. We are a remote-first, distributed team, with the option to work from office in Brooklyn, New York. We strongly support diversity and encourage people from all backgrounds to apply.

🚙 To read more about what we value as a company, check out Notes on Roadtrips on our blog.

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.

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.

At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a “normalized” problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.

Available Locations: Austin, TX

The Role

This role exists to fundamentally change how Cloudflare’s marketing organization works by putting AI at the center of how we operate. Equal parts strategist and force-multiplier, you will identify where AI can deliver the greatest business impact, build the solutions that matter most, and systematically raise the organization’s ability to build and leverage AI independently. The ultimate measure of success is not how much you build—it’s how much the organization can build without you.

What You’ll Do

Drive and Build Marketing AI Strategy & High-Impact Integrated Programs

• Define and own the marketing AI roadmap: assess where AI can deliver the greatest business impact, prioritize against marketing’s strategic objectives, and sequence what gets tackled and in what order.
• Build the business case for AI investments—not in abstract terms, but by mapping current-state workflows, quantifying the opportunity, and defining clear success metrics before work begins.
• Directly build and ship AI solutions for the highest-impact, cross-functional opportunities—the programs that fundamentally reshape how marketing operates, not incremental automations.
• Manage intake of AI requests from across the org. Triage what rises to the level of a strategic program versus what should be solved by the team closest to the problem with the right guidance and tools.

Scale the Marketing Organization’s AI Capability

• Build and run a champion network across marketing sub-teams: identify AI-curious practitioners, equip them with tools and patterns, and create the peer community that extends your reach.
• Ensure every team has a clear path to surface AI needs—and a clear understanding that the goal is to help them build, not to build for them. When a request is triaged as self-serve, provide the guidance and support to make that successful.
• Create the rituals that make AI visible and accessible: office hours, demo sessions, shared skill libraries, onboarding materials. Lower the barrier to entry so that building with AI becomes a normal part of how marketers work.
• Establish reusable patterns and templates so that solutions built for one team can be adapted by others without starting from scratch.

Crossfunctional Planning and Integration

• Serve as a core member of the Global Integrated Marketing Leadership team — helping set the strategic agenda, shaping priorities, and bringing structured thinking and a steady hand to the organization’s biggest decisions and most ambiguous problems.
• Translate and represent the leadership vision into a clear, coherent strategy for the Global Integrated Marketing organization, framing the hardest problems, developing options and recommendations, and helping leadership decide where to focus and where to place its biggest bets.
• Design and run the operating system for the Global Integrated Marketing organization ensuring decisions happen on schedule and alignment is built in, not chased.
• Create processes to monitor business performance and outcomes with proactive escalations to ensure demand gen goals are met for the Americas and globally.

What This Requires

• 8+ years in an integrated marketing role such as Marketing Operations, Demand Gen or a Marketing CoS function
• Deep knowledge of how B2B marketing organizations operate—campaigns, content, demand gen, field marketing, analytics. You know where work gets stuck because you’ve lived it.
• Comfort building with AI tools: agents, skills, prompt engineering, MCP integrations, no-code/low-code platforms.
• A product management mindset: you think in terms of intake, backlog, iteration, adoption, and measurable outcomes.
• Strong communication and the credibility to tell senior stakeholders “not yet” on low-priority requests and “think bigger” when teams default to automating the status quo.
• Exceptional executive communication and writing skills — clear, concise, transparent, and insightful for teams, executives, and a diverse set of stakeholders.

What Makes Cloudflare Special?

We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we’ve equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers–at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we’ve provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process.

This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.

Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person’s, perceived or actualrace, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer.

Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

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.