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About the Role

Lyft Ads is seeking a strategic, highly cross-functional leader to join as our Sr. Product Marketing Manager for Measurement, Data & Audiences. This is a unique and high-impact role at the intersection of data commercialization, advanced measurement strategy, and go-to-market execution. You will translate back-end data signals, in-house attribution models, and reporting tools into compelling, market-facing solutions and own the strategy for how Lyft Ads packages and positions its first-party mobility data.

Responsibilities

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.
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 into clear, compelling narratives for sales teams, brands, and top-tier agencies.
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.
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.
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.

Skills

Measurement
Attribution
Ad Tech Infrastructure
Data-Driven Commerce
Retail Media
Ad Tech Data Ecosystem
Conversion Modeling
Third-Party Measurement Integrations
CDPs
Data Clean Rooms
Commercial Partnerships
Market Positioning
Packaging Frameworks
Pricing Frameworks
SaaS Measurement Tools
Ad Tech Solutions
Cross-Functional Leadership
Financial Modeling
Analytical Skills
Product Marketing
Business Development
Strategic Partnerships
Data Monetization
Privacy-Safe Data Collaboration
Clean Room Architectures
Advanced Attribution Frameworks
Joint Business Plans

Location

San Francisco area

Work Type

Hybrid
In-office 3 days per week
Work from anywhere for up to 4 weeks per year

Experience Level

10+ years of experience
Sr. Product Marketing Manager

Education Level

Bachelor's degree or equivalent experience

Salary/Compensations

$143,000 - $178,750

Benefits

Great medical, dental, and vision insurance options with additional programs available
Mental health benefits
Family building benefits
Child care and pet benefits
401(k) plan with company match
Discretionary paid time off for salaried team members
15 days paid time off for hourly team members
18 weeks of paid parental leave
Subsidized commuter benefits
Monthly Lyft credits
Complimentary Lyft Pink membership

About the Company

Lyft's purpose is to serve and connect.
Lyft Ads is one of the fastest-growing commerce media businesses in the industry, connecting brands to a high-intent, on-the-move audience across Lyft's rider and driver networks.
With proprietary first-party data spanning millions of rides and real-world consumer journeys, Lyft Ads offers advertisers a unique combination of targeting, context, and measurement that traditional platforms cannot replicate.
We are building the future of mobility media.

Equal Opportunity

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.