Engineering Manager, AI Infrastructure

Mixpanel•San Francisco, CA

2d•Hybrid

About The Position

Mixpanel is seeking an Engineering Manager for their Data Storage team, which is part of the broader Infrastructure group. This team focuses on solving complex problems in stateful distributed systems, managing processing, ingestion, and storage at scale and low cost. The Infrastructure group as a whole is dedicated to high-scale customer data and acts as a force multiplier for the company's AI-first product strategy. Key initiatives include elastic query compute, distributed file caching, real-time data streaming, and AI-ready APIs. The teams within this group possess deep expertise in high-scale distributed systems and backend engineering, ensuring Mixpanel's infrastructure is reliable, performant, and ready for an AI-driven future.

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

Responsibilities

Lead and build AI-first product experiences from inception to global scale.
Lead an engineering team and grow its scope over time.
Develop people and unlock their potential.
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.