Job Description

Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE: EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with revenues over +$100M and consistently growing year over year.

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