Define and lead the ML-driven ranking, targeting, and personalization systems that power Fetch's ads business, optimizing for user experience, advertiser outcomes, and marketplace health
Requirements
- 8+ years of product management experience building ML-powered ranking, personalization, recommendation, ads, or search systems
- Deep understanding of ML ranking, feature engineering, real-time scoring, user behavior modeling, and entity understanding (products, offers, merchants, categories)
- Experience in ads relevance, auction or bidding mechanics, targeting, or marketplace optimization is a plus
- Strong technical fluency and ability to partner closely with Engineering, ML, Data Science, Analytics, Sales, and Marketing on data models, architecture, and trade-offs
- Proven ability to set strategy, prioritize roadmaps, and drive measurable outcomes in fast-paced, ambiguous environments
- Demonstrated strength in balancing competing objectives across a two-sided marketplace—optimizing for user experience, advertiser performance, and platform health
- A bias for ownership, rigor, and problem-solving able to dive deep into technical details while keeping focus on long-term impact
Responsibilities
- Own the vision, strategy, and roadmap for Fetch's ML-driven ads ranking and personalization systems across all surfaces
- Define the optimization framework balancing Fetch's goals, advertiser objectives, and consumer experience ensuring ranking improves overall marketplace health
- Design the architecture and boundaries between the ad server and ML systems, determining what logic, signals, and controls live in each layer and how they integrate end-to-end
- Lead the development of ranking models, signals, and infrastructure, including feature strategy, real-time scoring pipelines, and online/offline evaluation
- Establish rigorous experimentation and evaluation frameworks, driving measurable improvement in relevance, personalization, and advertiser ROI
- Collaborate deeply with Engineering, ML, Analytics, Sales, and GTM to prioritize, execute, and continuously iterate on ranking and personalization capabilities
- Partner with cross-functional PMs to translate advertiser outcomes into ranking objectives and optimization strategies
Other
- Proven ability to set strategy, prioritize roadmaps, and drive measurable outcomes in fast-paced, ambiguous environments
- Demonstrated strength in balancing competing objectives across a two-sided marketplace—optimizing for user experience, advertiser performance, and platform health
- A bias for ownership, rigor, and problem-solving able to dive deep into technical details while keeping focus on long-term impact
- Ability to work in a flexible work environment, including remote work options
- Commitment to diversity, inclusion, and respect for all individuals
- Ability to collaborate with cross-functional teams, including Engineering, ML, Analytics, Sales, and GTM
