Назад
9 дней назад

Engineering Manager, Release Validation (AI)

236 000 - 339 200$
Формат работы
onsite
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, Release Validation (AI): Building and operating scalable validation platforms, test frameworks, and release pipelines for distributed Snowflake systems with an accent on reliability, test health, and continuous deployment. Focus on leading engineers, reducing release blockers, driving AI-powered failure analysis, and improving regression and workload testing across the company.

Location: United States — Bellevue, Washington or Menlo Park, California

Salary: $236,000–$339,200 per year

Company

Snowflake builds highly reliable and scalable data products and is developing AI-native ways of working for engineering teams.

What you will do

  • Lead, hire, mentor, and develop engineers working on test infrastructure, automation, and developer tooling.
  • Define and execute the multi-quarter strategy for release validation, including faster signals, fewer blockers, better test quality, and lower costs.
  • Own distributed regression and workload test frameworks, pre-production environments, and release validation pipelines.
  • Improve test health by reducing flaky, non-hermetic, duplicate, and low-value tests across feature teams.
  • Improve failure tracing, infrastructure-noise filtering, and triage so that real regressions reach the responsible teams quickly.
  • Drive AI-powered failure analysis and automated routing while partnering with Release Engineering and engineering leaders.

Requirements

  • 3–5 years of experience hiring, coaching, and developing engineers at different career stages.
  • Experience building and operating large-scale CI/CD, test infrastructure, or developer productivity platforms for complex distributed systems.
  • Strong technical depth for reviewing designs, making architecture trade-offs, and working effectively with senior engineers.
  • Knowledge of regression and workload testing, hermeticity, flakiness, coverage trade-offs, and release gating.
  • Experience leading cross-team initiatives and influencing without authority, with a data-driven approach to goals and metrics.
  • Bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience.

Culture & Benefits

  • Fast-moving environment focused on experimentation, innovation, and challenging conventional approaches.
  • Engineering culture centered on ownership, technical excellence, and customer impact.
  • AI is used as a high-trust collaborator to accelerate problem-solving and delivery.

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