Data Product Manager

About Carter:

Carter is rethinking adtech infrastructure from the ground up with a privacy-first, AI-powered platform transforming commerce media. Our platform enables sophisticated audience management, seamless campaign execution, and advanced monetization-while keeping data security and privacy at the core. We empower our partners to turn every customer interaction into a revenue-generating opportunity, leveraging AI, first-party data, and seamless integrations across the entire retail media ecosystem.

Position Overview:

We’re looking for a Data Product Manager who understands the intersection of ad tech, data, and AI/ML models, someone who’s fluent in both business and technical conversations. You’ll be responsible for shaping data-driven products that support bidding, targeting, insights, optimization, and measurement. You’ll work cross-functionally with engineering, data science, UX, and GTM teams to launch and scale products that drive value for our customers. Candidates with experience in high-frequency, high-volume environments in adtech are especially encouraged to apply.

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.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.