Senior Product Manager, Audiences

Fetch•US - Remote,

About The Position

Fetch is seeking a Senior Product Manager to shape and deliver its off-platform audience products. Fetch’s deterministic, receipt-verified purchase data gives advertisers a foundation for reaching consumers based on their purchases. The role will make audiences easier to discover, build, expand, and activate across programmatic, social, and publisher platforms. The position owns the audience product roadmap within the Data Products Team and partners with engineering, data science, and commercial teams to identify customer needs and prioritize business opportunities. The scope includes audience discovery and configuration, lookalike and predictive expansion, partner connectivity, and shared services supporting self-service workflows. The role combines product strategy with hands-on execution: deciding which audience capabilities to invest in, whether to build or partner, and how to balance audience scale, quality, speed, and cost. It translates decisions into requirements and leads work from discovery through launch and ongoing improvement. The role can be based at a Fetch US office or remotely in the United States.

Requirements

5+ years of product management experience, including 3+ years in programmatic advertising, audience products, or ad tech.
Experience owning a product roadmap and prioritizing based on customer needs, commercial impact, technical dependencies, and effort.
Direct experience building audience activation products, DSP integrations, or audience data-sharing platforms.
Working understanding of audience segmentation, identity resolution, privacy-safe matching, and tradeoffs between audience scale and precision.
Familiarity with lookalike or predictive audiences and ability to partner with data scientists on use cases, evaluation criteria, and product requirements.
Technical fluency with APIs, data pipelines, and partner integrations, including ability to work through architecture and data-flow decisions with engineering and translate them into clear product requirements.
Strong product judgment, including evaluating build-versus-partner options and distinguishing reusable capabilities from one-off requests.
Track record of taking ambiguous opportunities from discovery to a live product and using adoption, quality, and operational data to improve it.
Clear communication across technical and commercial teams, with ability to explain tradeoffs, align stakeholders, and lead productive partner conversations.
Curiosity about AI and willingness to use new tools thoughtfully to accelerate learning and improve work.

Responsibilities

Translate advertiser needs, market opportunities, partner feedback, and commercial goals into a prioritized roadmap for off-platform audience products.
Partner with data science and engineering to develop lookalike and predictive audience offerings, define evaluation criteria, and inform build-versus-partner decisions.
Define audience taxonomy, descriptions, selection criteria, and discovery capabilities so customers and commercial teams can find appropriate audiences and understand their scale, freshness, and availability.
Own product requirements for audience creation, sizing, expansion, activation, refresh, and status visibility, reducing manual work and improving turnaround times.
Prioritize and deliver audience integrations with DSPs, identity providers, and other activation partners, including decisions about direct connections versus intermediary platforms.
Partner with application teams to support audience tools and external APIs through reusable services for configuration, expansion, and activation.
Work with identity and data science teams to turn matching and enrichment capabilities into improvements in audience coverage, sizing, and targeting.
Define requirements and success criteria, align dependencies, and lead engineering and partner work through implementation, testing, launch, and ongoing improvements.
Establish and track audience adoption, activation success, match rates, expansion turnaround, delivery reliability, and operating cost; partner with GTM and Business Development to connect product investments to revenue opportunities.
Partner with Legal, Privacy, and engineering to ensure audience creation, expansion, and distribution follow approved data uses and access controls.