Job description
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 healthcare insurance and benefits package. The role is ideally hybrid, with 2 days per week spent in our Toronto office, however we are accepting remote applications across North America. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.
