Sr. Product Marketing Manager

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.