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.
• Reporting & Interfaces: Inform the commercial requirements for advertiser-facing reporting systems, ensuring data transparency, ease of campaign management, and frictionless ROI reporting.
• Market Education: 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
• 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.

Requirements

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

Preferred

• 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.