Senior Product Manager

Role's tasks and responsibilities

• Own product strategy and execution for measurement and data initiatives spanning causal measurement, attribution and identity, and the quality and observability of our data and models.
• Translate causal and statistical methods into product decisions, and partner with data science on how measurement and optimization should behave in production.
• Define how performance signals are monitored, explained, and surfaced across large, fast-moving datasets so the right people see what changed and why.
• Work closely with engineering to prioritize development, and align commercial, marketing, and operations teams on timelines and strategy.
• Set the metrics and experimentation approach for your area, and use them to decide what ships.
• Stay at the forefront of AdTech, new technologies, industry trends, and privacy regulations.

Role's skills and requirements

• A technical degree in a quantitative field such as Engineering, Statistics, Mathematics, Economics, or Data Science.
• 5+ years in product management or data-heavy product work, including time owning measurement, ML-adjacent, or data-platform products.
• A strong applied grounding in at least one of: causal inference and incrementality measurement, experimentation and A/B testing, attribution and identity, or large-scale data quality and observability.
• Fluency with data. Can write SQL, reason about a data model, and work independently in a notebook or query engine to answer your own questions.
• Comfort engaging directly with model behavior, evaluation, and statistical tradeoffs alongside data scientists and ML engineers.
• Demonstrated experience in hypothesis-driven learning and turning data into actionable insights.
• Excellent written communication. Writes specs that hold up to technical scrutiny and need little editing before they ship.

Preferred

• Experience in programmatic advertising, adtech, or another real-time bidding or marketplace environment.
• Familiarity with mobile attribution, MMPs, or privacy-driven measurement.