Qa Manager

Notion Notion · Enterprise · Hyderabad, India · Engineering

Lead Notion's central QA team and roadmap, focusing on improving product quality outcomes through AI-driven test generation, automation, and CI/CD quality gates. The role requires a strong QA and software engineering background with experience in AI-assisted automation and observability.

What you'd actually do

  1. Make quality a shared, measurable system across Notion—clear standards, predictable signal, and fewer surprises as we ship.
  2. 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.
  3. Use AI/agents to generate and maintain high-signal tests, automate detection → triage → recommended fixes, and package those workflows so teams can reuse them.
  4. 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

Required

  • Experience leading QA teams and owning a QA roadmap focused on measurable quality outcomes.
  • Strong QA-first mindset with an software engineering orientation (roughly 70% QA / 30% engineering)
  • Outcome ownership: focuses on measurable product quality improvements (risk reduction, fewer escapes, higher confidence)
  • Strong grasp of CI/CD and how automated test suites run, fail, and gate releases in practice.
  • Ability to design and implement QA automation frameworks
  • Understand how AI has shaped modern QA and can apply AI/agents to accelerate quality workflows
  • 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
  • Strong cross-functional collaborator: builds tight partnerships across Engineering, Product, Design, Support, and other teams

Nice to have

  • eager to learn/level it up; able to evaluate alternatives and propose pragmatic improvements

What the JD emphasized

  • AI/agents to generate and maintain high-signal tests
  • automate detection → triage → recommended fixes
  • apply AI/agents to accelerate quality workflows
  • written AI-assisted/AI-driven automation tests in code

Other signals

  • AI/agents to generate and maintain high-signal tests
  • automate detection → triage → recommended fixes
  • apply AI/agents to accelerate quality workflows