Senior Product Manager

What you'll do

• Own product strategy and execution for measurement and data initiatives spanning causal measurement, attribution and identity, and the quality and observability of data and models
• Translate causal and statistical methods into product decisions and partner with data science on measurement and optimization in production
• Define how performance signals are monitored, explained, and surfaced across large, fast-moving datasets
• 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

Requirements

• 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
• 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 including ability to write SQL, reason about a data model, and work independently in a notebook or query engine
• 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 with ability to write specs that hold up to technical scrutiny

Tech stack

Benefits