Mixpanel Senior Product Manager, Data at Mixpanel owns strategy and roadmap for product evolution alongside customers' data infrastructure. The role involves making architecture decisions and aligning teams around data strategy.
Responsibilities
The core of Mixpanel’s value to customers has always been great data. We’re in an exciting moment for the way our users are thinking about and working with product data, and we need help figuring out how our position in the data infrastructure stack evolves. That’s why we’re hiring a fantastic Product Manager for Mixpanel Data.
Define and drive Mixpanel's strategy and roadmap for how the product evolves alongside customers' data warehouses, lakes, and the broader modern data stack
Turn complex, ambiguous architecture and business tradeoffs into a clear recommendation, grounded in customer evidence, competitive context, and business impact
Partner closely with engineering leadership on build-vs-integrate-vs-partner decisions that shape Mixpanel's data architecture for years to come
Talk directly to customers and prospects to understand how their data infrastructure and workflows are changing, and translate that into product bets
Build the business case for infrastructure-level investments, making the ROI of foundational, long-horizon work legible to leadership
Define how Mixpanel's data model, governance, and metadata need to evolve to support deeper analysis and a growing product portfolio
Align engineering, design, and go-to-market teams around a shared strategic point of view, with clear, written communication
Define and track the metrics that tell you whether the strategy is working, and course-correct as new evidence comes in
Qualification
Comfort operating in ambiguityExperience at a data infrastructure
Required
5+ years of hands-on product management experience, including ownership of technically complex, infrastructure- or platform-level problems
Direct experience with the modern data stack — data warehouses, data lakes, ETL/ELT, or data platform tooling — as a builder, user, or product owner
Comfort operating in ambiguity, with a track record of synthesizing competing technical and business inputs into a clear strategic point of view
Experience partnering closely with engineering on architecture-level tradeoffs, not just feature scoping
Strong written and verbal communication skills, with the ability to bring technical and non-technical audiences along on a strategic narrative
Experience using AI tools in product management workflows (e.g., competitive research, prototyping)
Preferred
Experience at a data infrastructure, data platform, or analytics company
Hands-on experience with data warehouses/lakehouses (e.g., Snowflake, BigQuery, Databricks) or open data formats
Experience writing production-grade software
Experience designing products using tools like Figma, Sketch, or Abstract
