Lead QA Engineer

@ StackAI

Overview

Join StackAI as a Lead QA Engineer in San Francisco. In this role, you will ensure the reliability, scalability, and usability of our platform powering AI-driven workflows for thousands of users. You will work in a fast-moving engineering team to build automated QA systems and shape our quality culture.

What You’ll Do

As the first dedicated QA hire, you will set the foundation for our testing processes.

• 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.
• Enhance observability with logs, alerts, and dashboards.

Collaboration & Process:

• Partner with Product and Engineering to understand user workflows.
• Collaborate directly with developers to debug issues and verify fixes.
• 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.
• Proficient in Python and familiar with JavaScript/TypeScript frameworks (Cypress, Playwright, or Jest).
• Experience testing APIs (REST/GraphQL) and web applications end-to-end.
• Understanding of software lifecycles, Git, and CI/CD tools.
• Excellent attention to detail and strong communication skills.

Nice to Have

• Experience testing AI/ML systems, data pipelines, or model outputs.
• Familiarity with infrastructure tools (Temporal, PostgreSQL, Redis, Docker, FastAPI).
• Performance or security testing experience.
• Prior startup experience with comfort in ambiguity.

Why Stack AI

StackAI is a no-code platform that lets anyone design, test, and deploy AI workflows powered by large language models like GPT-4. You will be joining a small, world-class team of engineers and researchers from MIT, Stanford, and Y Combinator, working on cutting-edge AI infrastructure.

Key Skills/Competency

• QA Automation
• Test Planning
• Python
• JavaScript
• TypeScript
• CI/CD
• API Testing
• Debugging
• Observability
• Collaboration