Full job description
Senior Product Manager role focused on search relevance, data architecture, and data pipelines for native search ads and AI Chat surfaces at adMarketplace. Responsibilities include owning the product roadmap, defining data and ML investments, driving product strategy for AI surfaces, prototyping, technical scoping, partnering with analytics and AI/ML teams, and defining evaluation metrics. Requires 5-8 years product management experience with 3-4 years in ad tech, strong technical skills including SQL and prototyping, knowledge of publisher and SSP ecosystems, and excellent communication. Compensation range $170,000 to $210,000 plus equity and bonus. Location: New York, United States. Benefits include healthcare, wellness, paid time off, commuter benefits, 401k matching, summer Fridays, catered lunches, and more.
What you'll do
- Own the roadmap for search relevance, data architecture, and data pipelines across native search and AI Chat surfaces
- Define, prioritize, and scope data, feature, and feed investments driving retrieval, ranking, and query understanding
- Drive product strategy for native ad presence on AI Chat surfaces
- Write PRDs, build lightweight prototypes, and run technical scoping with ML engineers, data scientists, and data platform partners
- Partner with Product Analytics, Supply Analytics, AI/ML, and Supply teams to align on metrics and experimentation strategy
- Define metrics and evaluation frameworks to measure relevance improvements
- Translate ambiguous, cross-team problems into clear product plans and decisions for executives
Requirements
- 5 to 8 years of product management experience, including at least 3 to 4 years in ad tech
- Proven track record building data, ML, or AI products end to end
- High technical literacy with hands-on prototyping and technical scoping experience
- Comfort reading SQL, exploring data, sketching pipelines, and working through model evaluation plans with ML and data science partners
- Working fluency in the publisher and SSP ecosystem, including supply-side workflows, integrations, feed quality, and marketplace dynamics
- Strong product instincts for search and relevance: retrieval, ranking, query understanding, evaluation, and experimentation methods
- Excellent written communication skills
- Comfort operating with autonomy in fast-moving, ambiguous environments
Tech stack
SQLMLAIdata pipelinesfeature engineeringmodel evaluationexperimentation platformsA/B testing
Benefits
Comprehensive healthcareWellness programsPaid time offCommuter benefits401k matchingSummer FridaysCatered lunchesFully stocked kitchenZogSports teamsHappy hoursCorporate retreatsContinuing education programManagement trainingRegular company-wide lunch and learnsWell-defined career paths