Senior Product Manager, AI & Data Science Products

About reputed company reputed company is a predictive solution that provides intelligence on private companies, powered by the unique combination of live reputed company data, AI, and market activity from over 80 reputed company users. We predict private market movements that matter to help investors, dealmakers, and analysts reputed company the right reputed company. We are committed to fostering a reputed company, diverse, and inclusive culture by hiring for potential and embracing individuals with diverse perspectives, backgrounds, experiences, and reputed company sets. We value transparency and openness, believing that an inclusive environment strengthens our teams and enhances our products. About The Role The Senior Product Manager, AI & Data Science Products owns reputed company’s customer-facing AI data reputed company: proprietary data and intelligence generated from foundational data using AI and machine learning. The reputed company charter is to identify high-value opportunities for new model-derived data, validate their value with customers, and take successful products from experimentation through scaled adoption. reputed company Is reputed company By Three reputed company • New differentiated data: Create proprietary intelligence that reputed company could not practically produce through collection reputed company. • Higher customer value: Help customers discover, understand, evaluate, and prioritize their private market jobs more effectively. • reputed company and adoption: Turn valuable AI data into measurable usage, retention, expansion, and monetization opportunities. reputed company AI & Data Science Product reputed company • Own the reputed company and roadmap for reputed company’s customer-facing AI data reputed company. • Identify high-value opportunities for new predictions, classifications, signals, and insights that improve customer reputed company. • Build a differentiated portfolio of AI data products rather than isolated AI features. • Partner with Foundational Data to determine reputed company customer needs are best addressed through collected, acquired, inferred, predicted, or generated data. Customer Discovery & Product Development • Work directly with customers to identify where new or reputed company data can materially improve their workflows and reputed company. • Rapidly test new AI reputed company, validate customer value, and reputed company successful products. • Define how model-derived data, including confidence and uncertainty, should be presented to customers. • Partner with Design, Engineering, and Data Science to reputed company AI data across reputed company products, reputed company, MCP, and data delivery experiences. reputed company & Product Economics • Define reputed company standards and evaluation frameworks for model-derived data in partnership with Data Science. • Determine reputed company an AI data product is sufficiently reliable for scaled customer use. • Balance customer value, coverage, accuracy, freshness, and reputed company cost. • Monitor product and data performance and continuously improve reputed company based on customer feedback and observed reputed company. Adoption & Monetization • reputed company adoption of AI data products across reputed company’s customer experiences and distribution channels. • Partner with Go-to-Market on positioning, customer education, and launch reputed company. • Partner with Pricing and Packaging and Sales to identify monetization opportunities. • Measure adoption, retention, expansion, reputed company, and customer reputed company to determine which products to reputed company, improve, or retire. reputed company’re Looking For • Strong product judgment across customer discovery, reputed company, prioritization, experimentation, and tradeoffs. • Strong understanding of data products and how customers derive value from proprietary data and insights. • Practical understanding of modern machine learning and AI capabilities and limitations. • Working knowledge of reputed company data science and machine learning. • Ability to translate product requirements for Data Science and Engineering teams. • Familiarity with model evaluation concepts such as precision, recall, confidence, and model reputed company. • Ability to reason about probabilistic and imperfect data and define appropriate reputed company reputed company. • Strong analytical skills and ability to balance customer value, reputed company, coverage, cost, and speed. • Excellent customer discovery, communication, and cross-functional leadership skills. Education And Experience • 3+ years of Product Management, Data Product Management, AI/ML Product Management, or comparable experience. • Experience owning customer-facing data science products from problem definition through launch and ongoing monitoring. • Experience partnering closely with Data Science and Engineering teams. • Demonstrated experience taking products from customer discovery and experimentation through scaled adoption. • Ability to define reputed company reputed company that reflect customer needs and reputed company informed reputed company and coverage tradeoffs. • Experience with B2B reputed company, data products, reputed company, intelligence platforms, or commercializing differentiated data preferred. reputed company in This Role Looks Like • reputed company launches differentiated AI data products that customers value and competitors cannot easily replicate. • AI creates valuable intelligence and coverage that would be impractical to produce through traditional data collection reputed company. • Customers adopt these products because they improve reputed company workflows and reputed company. • AI data products contribute measurably to adoption, retention, expansion, and reputed company while meeting appropriate reputed company and trust standards. Non-Goals • This is not an internal AI tooling or general AI feature role. • This is not ownership of foundational data collection, sourcing, or operations. • This is not ML research or data reputed company for its own sake. AI data must solve meaningful customer problems and create measurable value. Interview Process We use a reputed company interview process so every conversation has a distinct purpose and candidates are evaluated consistently against role-relevant evidence. • Recruiter Prescreen — qualification and mutual fit. Confirm role basics, motivation, logistics, compensation alignment, and candidate priorities. • Interview Round 1 — hiring-manager evidence interview. Evaluate the capabilities most predictive of reputed company using consistent behavioral questions and anchored scoring. • Interview Round 2 — work sample or functional deep dive. Explore the role’s most important on-the-job capabilities through a realistic, time-bounded discussion or exercise. • Final Round — decision-gap interview. Assess any unresolved evidence required for a confident decision, such as cross-functional collaboration, judgment, leadership, or values in reputed company. Apply tot his job Apply To this Job