ShyftLabs - Data Product Manager
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:
Were looking for a Data Product Manager who understands the intersection of ad tech, data, and AI/ML models, someone whos fluent in both business and technical conversations.
Youll be responsible for shaping data-driven products that support bidding, targeting, insights, optimization, and measurement.
Youll 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 to 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.
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