Senior Product Manager – Competitive Intelligence

Role Overview ClearDemand is seeking an experienced, results-driven Senior Product Manager to lead our Competitive Intelligence product suite. This role requires a strong combination of product management expertise, retail domain knowledge, and a deep understanding of competitive data collection, product matching, and Data-as-a-Service (DaaS) intelligence solutions. The ideal candidate can translate complex data capabilities into differentiated, scalable products that deliver actionable competitive insights to retailers in a fast-paced SaaS environment. Key Responsibilities Own the product strategy, roadmap, and end-to-end delivery of Competitive Intelligence capabilities, including competitive price collection, product matching, data enrichment, and intelligence delivery. • Drive product requirements for web scraping, automated data acquisition, data normalization, and scalable competitive data pipelines. • Define and enhance product matching capabilities, including attribute-based, fuzzy, semantic, and AI/ML-driven matching, with a focus on accuracy, coverage, and explainability. • Develop scalable Data-as-a-Service (DaaS) offerings that enable customers to access reliable, timely, and actionable competitive intelligence through APIs, data feeds, and analytics. • Partner closely with Engineering, Data Science, UX, and customer-facing teams to drive product discovery, prioritization, and execution. • Establish success metrics around data coverage, freshness, matching accuracy, data quality, customer adoption, and commercial value. • Balance strategic product investments with customer commitments, operational scalability, and speed to market. Required Experience & Skills 7+ years of Product Management experience, preferably in B2B SaaS, retail technology, competitive intelligence, or data-driven products. • Strong understanding of web scraping and data acquisition, including collection methodologies, data quality, scalability, and operational challenges. • Experience with product matching and entity resolution, including product attributes, taxonomy, fuzzy matching, and machine learning-based approaches. • Knowledge of Data-as-a-Service (DaaS) business models, data commercialization, APIs, and subscription-based intelligence products. • Strong understanding of retail pricing, competitive benchmarking, assortment intelligence, and retailer competitive positioning. • Experience managing data-intensive products involving large-scale processing, automation, analytics, and AI/ML capabilities. • Strong product discovery, requirements definition, roadmap prioritization, stakeholder management, and agile execution skills. • Ability to work effectively with Engineering and Data Science teams, translating complex technical capabilities into measurable customer outcomes. • Comfortable operating in fast-paced, ambiguous environments, demonstrating ownership, adaptability, sound judgment, and a bias for action. Ideal Candidate A hands-on, commercially minded Product Manager who understands the end-to-end competitive intelligence value chain — from data acquisition and product matching to delivering trusted, actionable intelligence. Someone who can bridge retail business needs with advanced data and AI capabilities, drive product differentiation, and scale data products that create measurable customer value.