Lead QA Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Could not be confirmed either way
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
The employer's own board was still advertising this when we last read it, though our own check is not current.
How old is it?
Posted 89d ago
The date the source published, not the day we noticed it (2026-08-04). Last seen at its source 3h ago.
We have tracked this listing since 3 Sep 2026 (59 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$80k–130k/yr
Published by the source in its own salary field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 59d ago · last seen 3h ago
The listing
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.