Senior Product Manager - AI/ML

Who We AreadMarketplace is the largest global marketplace for Native Search advertising. For over 25 years, we’ve connected brands with consumers at the moment they express commercial intent beyond legacy search engines.Today, our Native Search solutions are exclusively integrated across next-generation platforms where discovery happens, including web browsers, Buy Now Pay Later apps, and AI chat surfaces. Powered by vector search technology, our platform delivers relevant text and product ads that match consumers with the brands, products, and offers they’re actively seeking.Our award-winning culture is grounded in the principles of Curiosity, Collaboration, Creative Conflict, Commitment, and Competitiveness – our 5Cs. These values drive us to turn complexity into clarity and create measurable value for consumers, advertisers, and publishers alike.The RoleWe are looking for a Senior Product Manager to own search relevance, data architecture, and the data pipelines that power the next generation of native search ads across adMarketplace's publisher and AI Chat surfaces. This is a high-leverage, hands-on role with executive visibility. You will sit at the intersection of Product, AI/ML, Supply, Product Analytics, and Supply Analytics, and you will be responsible for how we turn query understanding, feed quality, and relevance signals into measurable lift for consumers, publishers, and advertisers.You will help define what native search advertising looks like on AI surfaces. The work ranges from scoping the data platforms and feature stores that feed our models, to prototyping ranking and query-understanding ideas, to shipping them through a tight partnership with engineering and data science.What You'll DoOwn the product area. Own the roadmap for search relevance, data architecture, and data pipelines across native search and AI Chat surfaces, from ideation through launch and iteration.Shape the data and ML foundation. Define, prioritize, and scope the data, feature, and feed investments that drive retrieval, ranking, and query understanding across the stack.Lead on AI surfaces. Drive the product strategy for adMarketplace's native ad presence on AI Chat surfaces, extending our first-to-market, first-to-scale position into durable advantage.Prototype and technically scope. Write PRDs, build lightweight prototypes, and run technical scoping with ML engineers, data scientists, and data platform partners. You will be expected to read a schema, sketch a pipeline, and pressure test a model evaluation plan.Partner across the org. Work directly with Product Analytics, Supply Analytics, AI/ML, and Supply to align on metrics, experimentation strategy, and the tradeoffs between relevance, yield, and publisher health.Measure what matters. Define the metrics and evaluation frameworks that tell us when relevance is actually getting better, not just when a model is shipping.Bring clarity. Translate ambiguous, cross-team problems into clear product plans, sequenced investments, and decisions the executive team can act on.What You'll Bring5 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. You have shipped something real that depended on data pipelines, feature engineering, or model output, and you can speak to the tradeoffs you made.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 the experimentation methods that actually surface causal lift.Excellent written communication. You can take a tangled, cross-team problem and make it legible to an executive in one page.Comfort operating with autonomy in fast-moving, ambiguous environments, with the grit to drive decisions when data is incomplete.Bonus PointsDirect experience with AI Chat, generative search, or LLM-powered surfaces, especially monetization, ranking, or retrieval for those surfaces.Experience working with or integrating against DSPs, SSPs, identity providers, or product feed / catalog systems.Background in data platform or feature store product work.Hands-on experience with experimentation platforms, offline evaluation, and online A/B testing at scale.*Compensation Range: $170,000 to $210,000, plus equity and bonusJoin UsadMarketplace has been named as one of the best places to work in New York City by Built In and Crain’s- the latter of which have recognized us the past three years straight! AMP is currently experiencing triple digit growth, and it’s never been a better time to join our team!We offer a robust continuing education program, management training, regular company-wide lunch and learns, and well-defined career paths to ensure all our employees have an opportunity to grow. At adMarketplace, we play to win, but we learn from our setbacks. Our commitment to a collaborative environment means no one succeeds alone, and no one fails alone either. We know you’ve come to expect comprehensive healthcare, wellness programs, paid time off, commuter benefits, and 401k matching from any company, so it’s a good thing we offer all of that and so much more. adMarketplace offers Summer Fridays, catered lunches, a fully stocked kitchen, ZogSports teams, happy hours and corporate retreats to encourage a strong work/life balance. No Third Party Recruiters. We do not accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. *This range represents the low and high end of the base salary someone in this role may earn as an employee of adMarketplace in the New York office. Salaries will vary based on various factors including but not limited to professional and academic experience; training; associated responsibilities; and other business and organizational needs. The range listed is just one component of our total compensation package for employees. Salary decisions are dependent on the circumstances of each hire.