MixpanelSan Francisco, CAJun 25

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 – 377k/yr

Hybrid10+ YOEEngineering Management

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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