Senior Engineering Manager, Data
MixpanelAbout the role
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.
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 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.
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
Additional Resources
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