Senior Technical Product Manager, Advertising ML

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the recommendation engine as a product, focusing on ranking, relevance, and the model development roadmap.

• Establish the optimization objectives, constraints, guardrails, and termination conditions for the ranker.

• Define the metrics the team will use for measurement and address any questions related to metric definitions.

• Collaborate with the Machine Learning team on frameworks and experiment design, including hold-outs, pre-registered decision rules, power calculations, sample-ratio-mismatch checks, A/A validation, multiplicity correction, and rollback triggers.

• Work with Data Science to assess model performance and communicate insights to business stakeholders.

• Provide insights from the ranking perspective to contribute to the broader ads roadmap, including intersections with pricing, identity, and event telemetry.

⛳️ Requirements

• Over 6 years of experience in product management.

• More than 3 years of experience managing a recommendation, ranking, personalization, or relevance system in a production environment.

• Strong understanding of experiment design and inference, including minimum detectable effect, statistical power, sample ratio mismatch, A/A testing, multiple-comparison correction, and pre-registration.

• Proficient knowledge of classification and regression, probability calibration, predicted conversion rate, expected-value objectives, and model behavior.

• Practical experience with Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, Vertex AI, and feature stores.

• Demonstrated ability to implement model changes into production traffic via a controlled experiment process.

• Familiarity with performance advertising economics and ad tech ecosystems, including eCPM, RPU, bid multipliers, campaign hierarchies, and attribution models.

• Proficient in SQL and comfortable reading application code to validate claims.

• Exceptional written communication skills and experience in stakeholder management across both technical and non-technical audiences.

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, Economics, or a related field.

• Experience in offerwall, rewarded advertising, loyalty and rewards programs, and/or mobile app monetization is a plus.

• Familiarity with a two-stage ranking system is an advantage.

• Experience in pricing, yield management, or marketplace dynamics in conjunction with ranking is a plus.

🏝️ Benefits

• 100% company-paid medical, dental, and vision plans.

• Unlimited Flexible Time Off.

• Customized career roadmap tailored for each employee.

• Opportunities for professional development through training and educational resources.