Principal, Product Manager – Data Foundations & Measurement [Ads]

Posted about 1 month agoViewed

United StatesFull-TimeAd Tech

Company:Fetch

Location:United States

Languages:English

Seniority level:Principal, 7+ years

Experience:7+ years

Skills:

SQLApache AirflowArtificial IntelligenceCloud ComputingData AnalysisMachine LearningProduct ManagementSoftware ArchitectureProduct DevelopmentStrategyProduct AnalyticsApache KafkaAPI testingData engineeringData scienceREST APIData modelingReportingData management

Requirements:

7+ years of product management experience, including 3+ years in ad tech with a strong track record of building data-intensive or measurement-focused products.
Technical proficiency in data and measurement systems, including data pipelines, APIs, event taxonomies, reporting and eligibility frameworks, conversion modeling, and partner-facing data delivery.
Proven ability to set strategy, make trade-offs, and drive alignment across engineering, analytics, product, operations, sales, and executive stakeholders.
Strong technical aptitude and fluency working with data systems, measurement pipelines, APIs, and emerging tools such as text-to-SQL or agentic technologies.
Comfort operating in ambiguity—able to define problem spaces, create structure, and drive execution with limited guidance.
A self-starter mindset with the ability to work independently and thrive in fast-changing environments.
Excellent communication skills for working with internal teams as well as external partners and vendors.
Strong problem-solving skills and the ability to reason through complex systems and data-rich challenges.

Responsibilities:

Own the vision, strategy, and execution for Fetch’s data, audience, and measurement foundation.
Develop standardized frameworks used across ad objects, surfaces, and measurement workflows.
Shape Fetch’s measurement strategy, including on- and off-platform products and partner-facing data delivery.
Lead the development of our sellable data strategy, determining how Fetch’s unique data assets should be packaged, governed, and monetized.
Help shape how off-platform audiences are constructed, scaled, and operationalized.
Identify and implement tooling that accelerates data and product workflows including solutions like text-to-SQL or agentic technologies.
Work closely with Engineering, Data Science, Analytics, Sales, and Operations to align on priorities and drive execution.
Collaborate with GTM and Business Development to identify, evaluate, and build partnerships.