Senior Product Manager

Posted 3 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
AdTech
The Role
Lead product strategy and execution for measurement, attribution, identity, and data quality. Translate causal and statistical methods into production products, define monitoring and experimentation, collaborate with ML, data, and engineering teams, and align commercial stakeholders. Drive metrics, prioritize development, and stay current on AdTech and privacy trends.
Summary Generated by Built In

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 

Skills Required

  • Technical degree in Engineering, Statistics, Mathematics, Economics, or Data Science.
  • 5+ years in product management or data-heavy product work, including owning measurement, ML-adjacent, or data-platform products.
  • Applied grounding in causal inference, incrementality measurement, experimentation/A-B testing, attribution/identity, or large-scale data quality and observability.
  • Fluency with data: ability to write SQL, reason about data models, and use notebooks or query engines to investigate 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; produce technical specs requiring little editing.
  • Experience in programmatic advertising, adtech, or real-time bidding/marketplace environments.
  • Familiarity with mobile attribution, MMPs, or privacy-driven measurement.
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The Company
Santa Monica, CA
107 Employees

What We Do

Smadex is the transparent DSP engineered for growth. The number one solution for user acquisition, retargeting and branding campaigns. We address the challenges and concerns of marketers by providing a fully transparent platform built on strong technology, countless programmatic management features and powerful machine learning algorithms that focus on achieving real outcomes. Advertisers can access global consumers on the highest quality brand safe and viewable inventory at scale, and capture attention using strong and engaging ad formats to drive performance sales and brand metrics. Smadex partners with the leading third party platforms to provide the most innovative solutions and independent measurement. Our open platform can easily plug and play with any new external partners. Smadex is a technology company led by engineering and data science, working with agencies and direct clients across the globe. Smadex is a business unit of Entravision Communications (NYSE: EVC)

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