At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. 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 — and we are looking for exceptional talent to help lead that charge. We are seeking a strategic, highly cross-functional leader to join Lyft Ads 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. As the direct commercial counterpart to our Ad Infrastructure Product Management team , you will translate back-end data signals, in-house attribution models, and reporting tools into compelling, market-facing solutions.

You will own the strategy for how Lyft Ads packages and positions its first-party mobility data, validates performance through third-party measurement partners, and delivers trusted ROI clarity to brands and agencies. Additionally, you will lead the identification, evaluation, and commercialization of custom, bespoke data partnerships that unlock strategic value and incremental revenue streams for Lyft Ads. This role requires a rare blend of technical data literacy, commercial acumen, and operational execution.

Responsibilities

: Data Commercialization Audience Go-to-Market Audience Strategy: 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. Value Positioning: Develop compelling narratives, positioning frameworks, and sales enablement tools that clearly articulate the unique value of Lyft’s deterministic identity and location-based data. Commercial Design: 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 Attribution GTM: Drive the commercial rollout and adoption of in-house conversion modeling, multi-touch attribution, and offline-to-online conversion capabilities built by the Ad Infrastructure team.

Requirements

for advertiser-facing reporting systems, ensuring data transparency, ease of campaign management, and frictionless ROI reporting. , event data generation, signals, data clean rooms) into clear, compelling narratives for sales teams, brands, and top-tier agencies. Ecosystem Bespoke Data Partnerships Strategic Alliances: 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.

Commercial Deal Structuring: Partner with leadership, Legal, and Finance to influence commercial negotiations, governance models, and revenue-sharing structures for unique data collaboration agreements. Partner Strategy Accountability: 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.

Sr. Product Marketing Manager - Measurement, Data & Audiences