Level

Stripe

Full Stack Engineer, Builder Experience

AI in this role

Build AI-native internal tools and automation to reinvent product launch workflows and developer experience at Stripe.

ai-agents
ai-agentsfull-stackai-native-developmentproduct-engineeringautomation

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The Builder Experience Team makes it easier for Stripe’s product teams to build the right products, ship them with confidence, and help users realize value from them.

In order to build a great product, product teams must develop a deep understanding of users, shape and test ideas, coordinate across functions, navigate launch requirements, identify risks, gather feedback, and manage products after launch. Today, many of these workflows are fragmented, manual, or built around processes and tools that predate recent advances in AI.

We are a small, AI-native team reimagining how Stripe builds, ships, and ramps products. We experiment with new approaches across AI agents, automation, and process—and scale the ones that work. Our initial areas of focus include reinventing launch readiness from gates into guidelines, giving product teams richer and more timely context, and shortening the feedback loops between builders, users, Sales, and Support.

Our users are Stripe’s product managers, engineers, designers, researchers – and we help to simplify the interactions with the cross-functional teams that help bring products to market. We work closely with teams including all of our business unit PMs, Product Operations, and Kai, Stripe’s internal AI platform.

What you'll do

We’re looking for product-minded engineers who want to rethink how products get built—not simply digitize existing processes. You’ll identify high-friction parts of Stripe’s product-development lifecycle, rapidly prototype new approaches, put them in the hands of real teams, and turn the strongest experiments into scaled solutions used by every product team at Stripe.

This is a hands-on role with broad product and technical scope. You’ll work across the stack, combining traditional software engineering with emerging AI capabilities. You’ll operate in ambiguous problem spaces where the right product, interface, and technical architecture must be discovered together.

You will:

  • Design and build tools that help Stripe teams shape better products, ship with greater speed and confidence, and learn from users more quickly.
  • Develop AI-native workflows and agents that synthesize context, automate repetitive work, surface risks, and help builders make better decisions.
  • Own projects end to end: identify high-value problems, develop prototypes, test them with users, measure their impact, and scale the approaches that work.
  • Work across backend systems, data sources, internal platforms, and polished user-facing experiences.
  • Partner directly with product managers, engineers, designers, researchers, and cross-functional teams to understand how work happens in practice.
  • Integrate with platforms such as Kai and Compass while identifying where new foundational capabilities are needed.
  • Apply strong judgment to the use of sensitive internal context, including appropriate attention to security, privacy, permissions, and user trust.
  • Help define how the team operates, including its technical foundations, product-development practices, and standards for experimentation and quality.
  • Contribute to the team’s roadmap by identifying systemic sources of friction and opportunities to improve Stripe’s product-development lifecycle.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

  • 5+ years of backend and/or full-stack software development experience
  • Demonstrated technical experience leading the design and delivery of new product experiences from prototype to production
  • Strong full-stack engineering skills, including experience building reliable backend services and polished user-facing product experiences.
  • Ability to operate effectively in high-ambiguity environments: framing problems, experimenting & adjusting, making right-sized technical decisions, and creating an actionable path forward.
  • Excellent cross-functional and cross-organizational collaboration skills, with the ability to align teams with different systems, priorities, and constraints.
  • Strong engineering judgment around system reliability, operational excellence, security, and maintainability.
  • A product-minded approach to engineering, with a focus on delivering meaningful outcomes for users and the business.

Preferred qualifications

  • Experience with Java, Ruby, and/or TypeScript. We care more about strong engineering fundamentals and the ability to learn than expertise in a particular language or framework.
  • Experience delivering user facing products at Stripe (Payments, MM, RevSuite, etc), or experience delivering user facing products pre-dating Stripe. 
  • Experience working on 0→1 products or taking new capabilities from concept through launch and iteration.

How we rate this

Full Stack Engineer, Builder Experience at Stripe rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsFull StackAI Native DevelopmentProduct EngineeringAutomation

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where full stack was part of your work. What did you do?
  3. Tell me about a project where ai native development was part of your work. What did you do?
  4. Tell me about a project where product engineering was part of your work. What did you do?
  5. Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Agents, Full Stack, AI Native Development, Product Engineering, and Automation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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