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AI quality score5.8 / 10
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Overview
Join Notion as a QA Manager to lead the central QA team, focusing on measurable quality outcomes and improving product quality standards. Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
What You'll Achieve
- •Big bet: Make quality a shared, measurable system across Notion—clear standards, predictable signal, and fewer surprises as we ship.
- •By your 30th day: Establish a single QA roadmap + prioritization rubric used cross-team, and align partners on quality standards and decision rights.
- •By your 60th day: Define and roll out CI/CD release quality gates aligned to quality/reliability goals for critical pipelines; make CI signal more reliable (less flake, faster feedback) for top workflows.
- •By your 90th day: Use AI/agents to generate and maintain high-signal tests, automate detection → triage → recommended fixes, and package those workflows so teams can reuse them.
- •By end of year 1: Raise the bar with a stable, highly automated QA org that measurably reduces escaped critical issues/SLO breaks and expands into scalable performance + reliability test coverage for key workflows.
Skills You'll Need to Bring
- •Experience leading QA teams and owning a QA roadmap focused on measurable quality outcomes.
- •Strong QA-first mindset with a software engineering orientation (roughly 70% QA / 30% engineering) — able to set standards and also build/ship the systems that enforce them.
- •Outcome ownership: focuses on measurable product quality improvements (risk reduction, fewer escapes, higher confidence) rather than “tools” or checklist-driven QA work; strong judgment for where risk is building and how to catch it early.
- •Strong grasp of CI/CD and how automated test suites run, fail, and gate releases in practice.
- •Comfortable with our QA automation stack and eager to learn/level it up; able to evaluate alternatives and propose pragmatic improvements.
- •Ability to design and implement QA automation frameworks; has written AI-assisted/AI-driven automation tests in code (not just tooling evaluation).
- •Understand how AI has shaped modern QA and can apply AI/agents to accelerate quality workflows (test generation/maintenance, flake reduction, triage, and prevention) while fitting into existing team momentum.
- •Fluency with observability fundamentals and tools (e.g., Datadog/Honeycomb): defining metrics, dashboards, and using signal to detect risk early.
- •Proven ability to operate in a central QA model—aligning multiple teams/platforms on shared quality standards, priorities, and clear ownership.
- •Coach and develop QA engineers: raises the bar through mentorship, feedback, and clear career ladders/expectations.
- •Strong cross-functional collaborator: builds tight partnerships across Engineering, Product, Design, Support, and other teams to stay ahead of changes and pain points across Notion.
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