Senior Engineering Manager, Data
Mixpanel - San Francisco, US (Hybrid)
Posted Apr 2, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Not verified
Was this benefit information wrong? Tell us.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Engineering Manager, Data San Francisco, US (Hybrid) 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.
Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.
Apply link not verified; last-live date unavailable.
What verified means
Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.
Related jobs
-
Hardware System and Board Failure Analysis Technical Lead
Cisco - Milpitas, California, US
-
Sr. Staff System Architect
Northrop Grumman - United States-Illinois-Rolling Meadows
-
Senior Project Manager - Product Implementation
Deluxe CORP - 2 Locations
-
Sr. Staff Product Operations Manager, Product Lifecycle (Remote)
Cisco - Coral Gables, Florida, US