Lead QA Engineer
At a glance
Senior QA & Test role at StackAI. Remote, United States · full-time · $80,000–$130,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Build test plans for new web, API and backend features, then run them across the product
- Create and maintain unit, integration and end-to-end checks for the TypeScript and Python stack
- Run regression and performance checks before major releases, and work with engineers to verify fixes
- Extend the test framework, connect checks to CI/CD, and use API and load tools to find issues
- Work with product and engineering on risky user workflows, QA standards, release planning and retrospectives
What you bring
- At least two years in QA, test automation or software testing
- Python proficiency is required
- Working knowledge of JavaScript or TypeScript testing tools and Python test frameworks
- Experience checking REST or GraphQL APIs and complete web application flows
- Understanding of software lifecycles, Git and CI/CD
Who this fits
This hands-on senior role suits someone ready to establish QA as the first dedicated hire and work closely with product and engineering. The role is listed as remote in the United States.
From the employer
We’re looking for a QA Engineer to join our fast-moving engineering team at Stack AI in San Francisco. You’ll play a key role in ensuring the reliability, scalability, and usability of the platform that powers AI-driven workflows for thousands of users.
This is a hands-on role for someone who’s deeply curious about how things work, loves to break them (safely), and wants to help us deliver the most stable, polished version of Stack AI possible. You’ll work closely with engineers, product managers, and designers to test features, build automated QA systems, and shape our quality culture from the ground up.
What You’ll Do
You’ll be the first dedicated QA hire, setting the foundation for automated testing, release validation, and reliability metrics across the entire product surface.
Test Planning & Execution
Design, write, and execute test plans for new features across web, API, and backend systems.
Develop and maintain automated test suites (unit, integration, end-to-end) for a modern TypeScript + Python stack.
Run regression and performance tests before major releases.
Identify, document, and verify bugs in collaboration with engineers.
Automation & Tooling
Own and extend our test automation framework (Cypress, Playwright, or similar).
Integrate testing into CI/CD pipelines to catch regressions early.
Use tools like Postman or k6 to validate APIs and load behavior.
Contribute to improving observability (logs, alerts, dashboards) to detect quality issues early.
Collaboration & Process
Partner with Product and Engineering to understand user workflows and identify high-risk areas.
Collaborate directly with developers to debug issues and verify fixes.
Help document and standardize QA processes for future hires.
Participate in code reviews, release planning, and sprint retrospectives.
What You’ll Bring
2–4 years of experience in QA, Test Automation, or Software Testing.
Must be proficient in Python
Strong familiarity with JavaScript/TypeScript (Cypress, Playwright, or Jest) and Python-based testing frameworks (PyTest, unittest).
Experience testing APIs (REST/GraphQL) and web applications end-to-end.
Solid understanding of software lifecycles, Git, and CI/CD (GitHub Actions, Render, or similar).
Strong attention to detail and a love for building reliable, maintainable systems.
Excellent communication skills and collaborative mindset, especially when working cross-functionally.
Nice to Have
Experience testing AI/ML systems, data pipelines, or model outputs.
Familiarity with backend infrastructure (Temporal, PostgreSQL, Redis, Docker, FastAPI).
Performance or security testing experience.
Prior startup experience, you’re comfortable with ambiguity and shipping fast.
Why Stack AI
Stack AI is a no-code platform that lets anyone design, test, and deploy AI workflows powered by large language models like GPT-4. Our mission is to make AI accessible to every business operator, not just developers, and quality is central to that goal.
You’ll join a small, world-class team of engineers and researchers from MIT, Stanford, and Y Combinator, working on some of the most exciting challenges in AI infrastructure.