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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Ads Quality strategy, driving experimentation in ranking and relevance systems, and leveraging machine learning for product development. Proven ability to collaborate across engineering, design, and data science to achieve measurable outcomes in consumer-facing digital products.
Highest-signal resume keywords
Ads Quality StrategyMachine Learning Product DevelopmentData Science FluencyProduct Management ExperienceAnalytical Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningRanking SystemsRelevance SystemsExperimentation DesignData AnalysisProduct StrategyConsumer-Facing Digital ProductsSearch MonetizationAgentic CommerceConversational UIs
Soft Skills
Critical ThinkingExecutive PresenceCross-Organizational Collaboration
Certifications & Qualifications
BS in Computer ScienceMS in Computer ScienceBS in EconomicsMS in Economics
Industry Keywords
Sponsored Products AdvertisingDigital Product ManagementTechnology CompanyProduct LinesRevenue Generation
About the role
Key responsibilities & impact- Own the strategy for Ads Quality across the Sponsored Products franchise
- Create surface-level controls balancing customer value and advertiser value across Sponsored Products
- Drive a high-velocity experimentation program in merchandising, ranking, and relevance
- Develop a strategy for evolving ranking and monetization systems to represent customer intent per ad request
- Lead system design for complex ranking and relevance systems with Machine Learning engineers
- Advance improvements to core retrieval and ranking powering Sponsored Products
- Establish thought leadership on search monetization and share perspectives internally and externally
- Define how Sponsored Products evolve in agentic commerce and conversational UIs
- Partner with engineering, design, data science, and UX research to turn ambiguous problems into hypotheses, requirements, and measurable outcomes
Requirements
What you’ll need- Experience with paid search or Sponsored Products advertising
- Experience building machine learning products, including ranking, relevance, or recommendation systems
- Experience with consumer-facing digital product work at a large, complex technology company
- Strong analytical skills and data science savvy, with a record of using data to guide product decisions and design experiments
- Critical thinking and executive presence, with the ability to present complex subject matter to senior leaders and build cross-organizational buy-in
- Willingness to travel approximately 25% of the time
- BS or MS in computer science, economics, or a related field (preferred)
- 7-10 years of product management experience, including ownership of product lines generating $100M+ in revenue (preferred)
- Fluency in data science and machine learning concepts (preferred)
Benefits
Comp & perks- New hire equity grant
- Annual refresh grants
- Flexible work location: home, office, or coffee shop
- Regular in-person events
- Market-competitive compensation and benefits