Engineering Manager, AI Infrastructure

Mixpanel•San Francisco, CA

2d•$279,000 - $377,000•Hybrid

About The Position

Mixpanel is seeking an Engineering Manager for Data Storage to lead a team focused on solving stateful distributed systems problems, including processing, ingestion, and storage at scale and low cost. This role is part of the Infrastructure group, which handles high-scale customer data and acts as a force multiplier for the company's AI-first product strategy. The team is driving foundational initiatives such as elastic query compute, distributed file caching, real-time data streaming, and AI-ready APIs. The ideal candidate will have deep expertise in high-scale distributed systems and backend engineering to ensure 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. This role is for someone who loves developing people and unlocking 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.