Product Manager - Data

San Francisco, US (Hybrid) · New York City · San Francisco · USD 175,000-210,000 · 5+ years experience · Hybrid · Posted Oct 7, 2026

At a glance

Mixpanel is the leading product intelligence and analytics platform, trusted by more than 29,000 companies to help understand how people use the products they build. By combining powerful analytics with AI that knows your business, Mixpanel helps teams see what’s working, diagnose what’s not, and decide what to build next. Learn more at mixpanel.com.

Mixpanel is hiring a Product Manager for Mixpanel Data to own the strategy and roadmap for where the company sits in the data landscape.
This is a pathfinding role focused on turning ambiguous technical and business tradeoffs into a clear point of view, roadmap, and actionable decisions for engineering and leadership.

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.

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)

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