Data Product Manager

Job Responsibilities:

• Own and evolve the product roadmap for data and measurement features (e.g., performance models, audience tools, reporting layers, campaign optimization).
• Work closely with data engineering and ML teams to define product requirements, success metrics, and delivery timelines.
• Translate advertiser use cases into data product specs and interfaces.
• Partner with account and strategy teams to gather feedback and define high-impact use cases.
• Understand how models work (propensity, LTV, lookalike, pacing, bidding, etc.) and ensure they are integrated in ways that users trust and value.
• Ensure data flows are robust, privacy-safe, and usable across the ad stack (DSPs, SSPs, CDPs, retail platforms).
• Define product metrics and validate outcomes through experimentation and feedback loops.

Basic Qualifications:

• 3–6 years of product management experience, ideally in ad tech, martech, or data platforms.
• Experience with DSPs, SSPs, CDPs, DMPs, or similar ecosystems is a huge plus.
• Strong understanding of how data pipelines, ML models, and APIs work, not just what they do, but how they do it.
• Excellent communicator who can drive alignment between technical and non-technical stakeholders.
• Passionate about solving real user problems with data, not just building dashboards.
• Familiar with tools like Looker, Snowflake, dbt, Python, Postgres, or similar, you don't have to code, but you get it.
• Previous experience working in a startup or fast-paced agile environment.