Senior Technical Product Manager, Advertising ML

📋 Description

• Own the recommendation engine as a product: ranking, relevance, and the model roadmap. Ranking
• Set objective for the ranker, constraints, guardrails, and kill conditions; target is eCPM today
• Own metric definitions the team measures against; define how decisions are evaluated (e.g.
• Collaborate with ML frameworks, experiment design, holdsouts, power calculations, and readouts for
• Collaborate with data science on model readouts to evaluate performance and business impact.
• Contribute ranking perspective to the ads roadmap where pricing, identity, and telemetry intersect

🎯 Requirements

• 6+ years in product management with 3+ years owning a recommendation, ranking, personalization, or
• Deep understanding of experiment design and inference (MDE, power, sample ratio mismatch, A/A
• Working knowledge of modeling: classification/regression, calibration, predicted CVR, value-based
• Hands-on experience with ML/data platforms: Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow
• Proven track record moving model changes into production via controlled experiments, not dashboards
• Knowledge of performance advertising economics: eCPM, RPU, bid multipliers, campaign hierarchies

🎁 Benefits

• Comprehensive Benefits Program: 100% company-paid medical, dental, and vision.
• Unlimited Flexible Time Off; personalized career roadmap.
• Professional development through training and education opportunities.