As a
Senior Product Manager on our measurement and data team, you will own a set of quantitatively deep initiatives that sit close to our bidding, attribution, and data infrastructure. This is a builder role for someone who is comfortable reasoning about causal inference, experimentation, and data quality at scale, and who can turn that reasoning into a product that engineers, data scientists, and commercial teams actually use. You will work directly with our ML, data, and infrastructure teams as a technical peer.
This position is based in Austin, TX or New York, NY.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:
- 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. You 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. You write 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.
What's in it for you?
- Great compensation package tailored to the U.S. market.
- Career pathing and continued education available
- Highly engaged leadership to support you in your position and career
- Opportunity for international travel
- Comprehensive medical, dental & vision benefits
- 401k matching
- Summer Fridays & Team building events
