Senior Technical Product Manager Advertising ML

You will own the recommendation engine as a product, including ranking quality, relevance, objectives, constraints, guardrails, and the model roadmap. You will define metrics, design controlled experiments, evaluate model performance, communicate readouts, and contribute ranking expertise to advertising decisions involving pricing, identity, and telemetry.

Responsibilities

  • Own the recommendation engine product roadmap
  • Define ranking objectives constraints guardrails and kill conditions
  • Own metric definitions and resolve measurement questions
  • Design experiments with data science partners
  • Evaluate model performance and communicate stakeholder readouts
  • Contribute ranking expertise to the advertising roadmap

Requirements

  • 6+ years of product management experience
  • 3+ years owning a production recommendation ranking personalization or relevance system
  • Deep understanding of experiment design and statistical inference
  • Knowledge of classification regression probability calibration and expected-value objectives
  • Hands-on experience with Snowflake BigQuery Spark Airflow dbt MLFlow Vertex AI and feature stores
  • Experience moving model changes into production through controlled experiments
  • Knowledge of performance advertising economics and ad technology ecosystems
  • Ability to write SQL and read application code
  • Excellent written communication and stakeholder management
  • Bachelor's or Master's degree in Computer Science Engineering Statistics Economics or a related field
  • Offerwall rewarded advertising loyalty rewards or mobile app monetization experience is a plus
  • Two-stage ranking system experience is a plus
  • Pricing yield management or marketplace experience is a plus

See also

Product jobs by country — openings, pay and top skills →

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