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Engineering Manager, AI Infrastructure

Lead and grow an engineering team building AI-first infrastructure for high-scale data storage, processing, and ingestion. Requires 10+ years engineering experience and 4+ years of team leadership.

279k – 377kSan Francisco, CAEngineering ManagementHybrid10+ YOE

About the role

Responsibilities

  • Lead and build AI-first product experiences from inception to global scale.
  • Lead an engineering team and grow its scope over time.
  • Build an exceptional team by hiring well, coaching deeply, and creating a culture where engineers feel ownership and pride in what they ship.
  • Shape direction alongside Product, turning big ideas into focused execution and helping teams move fast without losing quality.
  • Set the technical bar and protect the system. Depending on level, this may mean hands-on technical leadership or empowering tech leads with clarity and trust.

Requirements

  • 10+ years engineering experience; 4+ years leading engineering teams
  • Experience building and running infrastructure supporting real-world, customer-facing web applications.
  • Experience building and using AI-powered products in production environments.
  • Proven collaboration with product managers and designers on meaningful infrastructure.
  • Strong judgment in technical tradeoffs, backed by lessons learned.
  • Evidence of leadership through influence, alignment, and growing others.
  • Director candidates must have experience managing managers.
  • Skilled at navigating ambiguity, making tradeoffs, and bringing clarity to complex org structures
  • High level of ownership, accountability, and product intuition

Nice-to-Haves

  • Experience managing managers (for Director-level candidates)

Skills

Distributed SystemsInfrastructureAi/Ml InfrastructureData StorageBackend EngineeringReal-Time Data StreamingElastic Query ComputeDistributed File CachingAi-Ready ApisSystem Reliability

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