Senior Engineering Manager, Data

About Mixpanel

Mixpanel turns data clarity into innovation. Trusted by more than 29,000 companies, including Workday, Pinterest, LG, and Rakuten Viber, Mixpanel’s AI-first digital analytics help teams accelerate adoption, improve retention, and ship with confidence. Powering this is an industry-leading platform that combines product and web analytics, session replay, experimentation, feature flags, and metric trees. Mixpanel delivers insights that customers trust. Visit mixpanel.com to learn more.

About the Team

Mixpanel Engineering is a small, fast-moving team focused on delivering real value to customers. We build powerful AI-powered product analytics while obsessing over clarity, simplicity, and delight. Engineers here own problems end to end. You can move across the stack to ship impact without being blocked by silos or heavy process. Product innovation drives our business, and product engineering teams own that responsibility.

The Infrastructure group focuses on high-scale customer data, operating as a force multiplier for the broader company as it moves toward an AI-first product. It comprises of four teams, Data Foundation, Query Engine, Data Storage and Data Activation.

• Data Foundation governs how data enters and is characterized.
• Query Engine makes queries fast and accurate.
• Data Storage handles processing and storage at scale and low cost.
• Data Activation routes behavioral data to the systems that act on it.

Together, these teams are driving foundational initiatives like elastic query compute, distributed file caching, real-time data streaming, and AI-ready APIs that will underpin the next generation of the product. Collectively, they combine deep expertise in high-scale distributed systems and backend engineering to ensure Mixpanel's infrastructure is reliable, performant, and a core part of the broader data ecosystem ready for the demands of an AI-driven future.

About the Role

We are looking for an Engineering Managers to join this organization.

• Teams operate as autonomous pods, with engineering, product, and design working side by side on clear strategic goals. Teams have direct access to customer feedback, product usage data, business metrics, and design context.
• We start with customer problems. We reason from first principles. We challenge assumptions. We aim for simple solutions to complex problems and avoid unnecessary abstraction.
• Engineering owns execution, quality, and operations. There are no project managers, QA teams, or separate SREs. Ownership stays with the people building the product.
• We value written thinking, dashboards, and demos over slide decks. We work openly using tools like Slack, GitHub, Mixpanel, Notion, Figma, and Zoom.
• Our team is distributed across North America, with strong clusters in the San Francisco Bay Area, Seattle, and Austin.

Responsibilities

• Lead a