# Sr. Product Marketing Manager

**Company:** [Lyft](https://hotfix.jobs/companies/lyft)
**Location:** San Francisco, CA
**Role:** Product Marketing
**Salary:** $143k – $179k/yr
**Experience:** 10+ years
**Skills:** Ad Tech, Measurement, Attribution, Data Clean Rooms, Conversion Modeling, Audience Segmentation, Go-to-Market Strategy, Partnerships, Pricing Frameworks, Data Commercialization, Retail Media, Cdp
**Posted:** 2026-07-02

> Sr. Product Marketing Manager responsible for go-to-market strategy, positioning, and commercialization of Lyft Ads' first-party mobility data, measurement, attribution, and bespoke data partnerships. Requires 10+ years in digital advertising with deep expertise in ad tech data, measurement, and cross-functional leadership.

## Job Description

## Responsibilities

### Data Commercialization & Audience Go-to-Market
- Own the end-to-end go-to-market strategy for Lyft’s first-party audience data, defining how real-world mobility signals and consumer journeys are packaged into high-value targeting segments.
- Develop compelling narratives, positioning frameworks, and sales enablement tools that clearly articulate the unique value of Lyft’s deterministic identity and location-based data.
- Partner with Product, Data Science, and Finance to define pricing frameworks and packaging structures for audience segments and advanced data targeting features.

### Measurement, Attribution & Reporting Strategy
- Drive the commercial rollout and adoption of in-house conversion modeling, multi-touch attribution, and offline-to-online conversion capabilities.
- Inform the commercial requirements for advertiser-facing reporting systems, ensuring data transparency, ease of campaign management, and frictionless ROI reporting.
- Translate complex technical ad tech concepts (e.g., event data generation, signals, data clean rooms) into clear, compelling narratives for sales teams, brands, and top-tier agencies.

### Ecosystem & Bespoke Data Partnerships
- Identify, evaluate, and lead the development of bespoke data partnerships with high-value external platforms, brands, and ecosystems to create custom, mutually beneficial data-sharing or co-targeting opportunities.
- Partner with leadership, Legal, and Finance to influence commercial negotiations, governance models, and revenue-sharing structures for unique data collaboration agreements.
- Manage relationships with key third-party measurement providers, verification partners, and data networks; drive joint business plans, QBRs, and partner prioritization frameworks optimized for audience scale and revenue impact.
- Partner with Ad Infrastructure PMs, AdTech, and Engineering to ensure external partner connections, custom clean room setups, and attribution tools are optimally implemented and scalable.

## Requirements
- 10+ years of experience in digital advertising, with meaningful depth in measurement, attribution, ad tech infrastructure, or data-driven commerce/retail media.
- Strong knowledge of the ad tech data ecosystem, including conversion modeling, third-party measurement integrations (offline/online conversions, viewability), CDPs, and data clean rooms.
- Demonstrated experience structuring, negotiating, and growing commercial partnerships with technology vendors, measurement providers, or bespoke data platforms.
- Experience developing market positioning, packaging, and pricing frameworks for data products, SaaS measurement tools, or complex ad tech solutions.
- Exceptional collaboration skills; proven ability to bridge commercial and technical teams, working seamlessly across Sales, Product, Engineering, Data Science, Legal, and Finance.
- Strong financial modeling and analytical skills; ability to build data-backed business cases, evaluate ecosystem dynamics, and model complex partner revenue scenarios.
- Bachelor’s degree or equivalent experience.

## Nice-to-Haves
- Prior experience in a product marketing, business development, or strategic partnerships role directly supporting an Ad Infrastructure, Data, or Measurement product line.
- Experience establishing and growing custom or bespoke data monetization programs at a commerce media network, retail media network (RMN), mobility platform, or high-growth digital publisher.
- Familiarity with privacy-safe data collaboration methodologies, clean room architectures, and advanced attribution frameworks.
- Experience building and managing joint business plans with major agency holding companies and strategic data brokers to drive incremental ad spend.

## Compensation & Benefits
- Expected base pay range: $143000 - $178750 (San Francisco area; not inclusive of equity, bonus or benefits).
- Great medical, dental, and vision insurance options.
- Mental health benefits, family building benefits, child care and pet benefits.
- 401(k) plan with company match.
- Discretionary paid time off (salaried); 15 days PTO (hourly) + 12 observed holidays.
- 18 weeks of paid parental leave.
- Subsidized commuter benefits.
- Monthly Lyft credits and complimentary Lyft Pink membership.

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