# Senior Product Manager, Data at Mixpanel

> Hybrid · United States · Senior · Product · open. Source: https://alderhq.app/jobs/greenhouse%3Amixpanel%3A8354540 (read 2026-11-07).

## Facts (observed)

- Company: [Mixpanel](https://alderhq.app/companies/mixpanel)
- Location text: New York City, US (Hybrid); New York City; San Francisco
- Where it can be done from (inferred): Hybrid · United States (evidence: "Location: New York City, US (Hybrid); New York City; San Francisco")
- Posted: 2026-11-06 (0 days ago)
- First seen by alder: 2026-11-06 · last verified: 2026-11-06
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/mixpanel/jobs/8354540
- Skills listed (inferred): Snowflake, Figma

## Pay and sponsorship

- Posted pay: $213k–$250k per year (from the listing's pay field)
- Market band for similar posted roles (New York, n 103): p25 $180k, median $200k, p75 $221k
- Licensed UK sponsor: registered as "Mixpanel UK Ltd" (checked 2026-11-03, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

### About Mixpanel

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.

### About the Role

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.

In this role, you'll own Mixpanel's strategy and roadmap for where we sit in the data landscape - how our data architecture evolves, where we build versus integrate versus get out of the way, and what it means for Mixpanel to work with data that increasingly lives outside our walls as well as inside them. This is a pathfinding role: a large part of the job is turning ambiguous technical and business tradeoffs into a clear point of view, a roadmap, and decisions the engineering and leadership team can act on.

### What You'll Do

- 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
### What We're Looking For

- 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)
### Nice to Have

- 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
### Compensation

The amount listed below is the total target cash compensation (TTCC) and includes base compensation and variable compensation in the form of either a company bonus or commissions. Variable compensation type is determined by your role and level. In addition to the cash compensation provided, this position is also eligible for equity consideration and other benefits including medical, vision, and dental insurance coverage. You can view our benefits offerings here.

Our salary ranges are determined by role and level and are benchmarked to the SF Bay Area Technology data cut released by Radford, a global compensation database. The range displayed represents the minimum and maximum TTCC for new hire salaries for the position across all of our US locations. To stay on top of market conditions, we refresh our salary ranges twice a year so these ranges may change in the future. Within the range, individual pay is determined by experience, job-related skills, qualifications, and other factors. If you have questions about the specific range, your recruiter can share this information.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Amixpanel%3A8354540 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.
