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2 часа назад

Quality Engineering Manager (AI)

180 000 - 230 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Quality Engineering Manager (AI) (AI/Quality Engineering): Leading the transition from a centralized QA team to embedded Quality Engineers who own quality across delivery teams, with an accent on test strategy, automation, and AI-powered feature evaluation. Focus on coaching engineers, defining standards and release criteria, reducing escaped defects, and shaping testing for AI and agentic features.

Location: Hybrid, with three days a week in the San Francisco office

Salary: $180,000–$230,000 annual base for San Francisco candidates; eligible for equity.

Company

hirify.global provides an AI-powered operating system for real estate investing, combining institutional real estate listings, investment data, and execution workflows in one platform.

What you will do

  • Lead the transition from a centralized QA team to embedded Quality Engineers supporting delivery teams.
  • Define shared test strategy, release criteria, quality standards, and tooling.
  • Coach Quality Engineers, run the QE community of practice, and help set the hiring bar.
  • Review test design and automation code, and build shared frameworks where needed.
  • Define testing approaches for AI-powered and agentic features, including responsible use of AI tools.
  • Run blameless postmortems, publish escape-rate scorecards, and shape engineering quality strategy with engineering leadership.

Requirements

  • 7+ years of experience in quality engineering, SDET, or similar roles, including leading or guiding a QA team or function.
  • Hands-on experience across analysis, test design, and automation, including Playwright, Cypress, or a similar tool.
  • Experience with TypeScript, Python, or Go in a modern SaaS environment.
  • Track record of analyzing quality processes, selecting meaningful metrics, and reducing escaped defects.
  • Experience driving adoption of quality practices across Engineering, Product, Design, and Customer Success.
  • Regular use of Cursor, GitHub Copilot, Claude, or similar AI tools with a deliberate review step before relying on generated output.
  • Experience with blameless postmortems and structured root-cause analysis such as 5 Whys, Fishbone, or CAPA.
  • Comfort working in a fast-moving, growth-stage environment.
  • BS in Computer Science, Software Engineering, or equivalent experience.

Nice to have

  • Experience evaluating LLM-based or agentic features using datasets, graders, LLM-as-judge methods, or regression suites in CI, with tools such as LangSmith, Braintrust, or DeepEval.
  • Experience with Sentry, Datadog, Pendo, or Amplitude to guide test strategy.
  • Real estate, fintech, or enterprise B2B SaaS experience.
  • Experience leading a transition from manual testing to automation or working at an AI-era startup.
  • Performance, security, or chaos engineering expertise.
  • Conference talks or open source contributions.

Culture & Benefits

  • Hybrid three-days-in-office policy in San Francisco.
  • Medical, dental, and vision insurance, Flexible Spending Account, and 401(k).
  • Paid parental leave, flexible time off, and company-sponsored commuter benefits.
  • Catered lunches and snacks plus monthly wellness reimbursement.
  • AI-assisted transcription may be used during video interviews for internal note-taking and evaluation only.

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