Senior Technical Product Manager, Advertising ML

Location: Remote USA

Company

hirify.global is a global commerce company providing tools and services that help video game developers fund, distribute, market, and monetize their games.

What you will do

• Own the recommendation engine as a product, including ranking, relevance, optimization objectives, constraints, guardrails, and the model roadmap.
• Define the metrics used to evaluate ranking quality and resolve measurement questions involving revenue, publisher-side RPU, impressions, users, and aggregation windows.
• Partner with ML and data science teams on experiment design, holdouts, preregistered decision rules, power calculations, A/A validation, multiplicity correction, and rollback triggers.
• Evaluate model performance and communicate readouts to technical and business stakeholders, including impact, cost, and next steps.
• Contribute ranking expertise to the broader advertising roadmap across pricing, identity, event telemetry, and monetization.

Requirements

• 6+ years of product management experience, including 3+ years owning a recommendation, ranking, personalization, or relevance system in production.
• Deep understanding of experiment design and statistical inference, including minimum detectable effect, statistical power, sample-ratio mismatch, A/A testing, multiple-comparison correction, and preregistration.
• Working knowledge of classification, regression, probability calibration, predicted conversion rate, expected-value objectives, and model behavior.
• Hands-on experience with ML and data platforms such as Snowflake, BigQuery, Spark, Airflow, dbt, MLFlow, Vertex AI, and feature stores.
• Experience moving model changes into production traffic through controlled experiments, plus knowledge of performance advertising economics and ad tech ecosystems.
• Ability to write SQL, read application code, and communicate clearly with technical and non-technical stakeholders; a bachelor's or master's degree in a relevant field is required.

Nice to have

• Experience with offerwalls, rewarded advertising, loyalty and rewards programs, or mobile app monetization.
• Experience with two-stage ranking systems, pricing, yield management, or marketplaces.

Culture & Benefits

• Remote work in the USA.
• Work across ML, analytics, advertising operations, and commercial teams.
• Criminal history, employment, and education verification are part of the hiring process.