Назад
14 часов назад

Engineering Manager (AI DevEx)

236 000 - 339 200$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Manager (AI DevEx) (AI/developer productivity): Leading the team transforming how Snowflake engineers write, review, and run code in production with an accent on AI-assisted engineering workflows, SDLC modernization, and operational excellence. Focus on delivering the roadmap, reducing code review latency, enabling AI tools and models, and building reliable golden paths for agentic codebases.

Location: Hybrid in Bellevue, Washington, or Menlo Park, California, United States

Salary: $236,000–$339,200 per year

Company

Snowflake is scaling its engineering organization to transform how its product is developed, evaluated, and supported.

What you will do

  • Lead, coach, and grow the AI DevEx engineering team while establishing strong planning, ownership, and career development practices.
  • Define and deliver the vision and roadmap for transforming the software development lifecycle across Snowflake.
  • Drive measurable improvements in code review latency and enable engineers to use current AI harnesses and models.
  • Build golden paths and development foundations for agentic codebases.
  • Make timely, high-quality decisions in a rapidly evolving AI and developer productivity environment.
  • Own operational excellence, including on-call health, incident response, postmortems, maintenance, and support.

Requirements

  • 15+ years of software engineering experience.
  • 5+ years leading a technical engineering team, including people leadership, roadmap ownership, and hands-on technical judgment.
  • Hands-on experience with current AI tools, particularly productivity-focused tools.
  • Excellent written and verbal communication skills for stakeholder alignment and cross-functional work.
  • Pragmatic, customer-focused approach with emphasis on reliability, performance, ease of use, and measurable impact.

Nice to have

  • Experience with developer productivity tooling.
  • Experience with AI-assisted engineering workflows.
  • Experience modernizing CI and test platforms.

Culture & Benefits

  • AI is treated as a high-trust collaborator in daily work.
  • Experimental mindset focused on rapidly testing emerging capabilities.
  • Low-ego, dynamic, and fast-moving working environment.
  • Emphasis on challenging ordinary thinking and measurable innovation.

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