Define and lead the product strategy for Clarity Commercialization, including paid customer scenarios, pricing and packaging inputs, enterprise readiness, GTM needs, and measurable business outcomes. Translate customer, agency, seller, and partner feedback into clear product requirements for enterprise customers, account hierarchies, agency models, permissions, privacy-safe sharing, onboarding, and support readiness. Define the product capabilities needed for potential paid offerings, including premium analytics, premium compute-backed features, reporting, APIs, MCP or agent integrations, customer administration, and durable value measurement. Partner with engineering, data science, design, marketing, sales, customer success, finance, and business planning to move from strategy to shipped product, launch plans, adoption targets, and commercial outcomes. Use data, experimentation, customer conversations, competitive signals, and field feedback to prioritize the highest-value commercialization bets and stop work that does not create customer or business value. Create clear executive and cross-functional alignment on Clarity's commercial roadmap, including what is free, what is paid, what is enterprise-only, and what must be built before the product can scale through sellers and partners. Help Clarity become the trusted analytics layer for the AI economy: where businesses understand human behavior, AI-mediated discovery, agent activity, and the actions that drive growth. Bachelor's Degree AND 10+ years experience in product/service/program management or software development Bachelor's Degree AND 15+ years experience in product/service/program management or software development OR equivalent experience. Experience commercializing SaaS, analytics, advertising, marketing technology, or enterprise platform products. Experience with pricing, packaging, GTM strategy, paid product adoption, or monetization models for digital products. Experience building analytics products, AI analytics, web analytics, experimentation, attribution, measurement, or customer insight tools. Experience defining product requirements for paying customers, including enterprise workflows, admin controls, access models, reporting, onboarding, support, and customer success needs. Experience working across engineering, design, data science, sales, marketing, finance, business planning, and senior leadership. Experience communicating with audiences at all levels and disciplines, written and verbal communication, with the ability to make ambiguous product and business tradeoffs clear. Experience with AI search, GEO, SEO, LLM visibility, content discovery, citations, knowledge retrieval, or agentic product experiences. Experience with web analytics or product analytics tools such as Clarity, Google Analytics, Adobe Analytics, Amplitude, Mixpanel, Pendo, FullStory, or similar products. Experience building enterprise SaaS products with RBAC, account hierarchy, multi-tenant controls, compliance, privacy, and admin workflows. Experience with API strategy, partner integrations, data exports, MCP-style integrations, or products that become part of a customer's operating workflow. Experience taking a free or product-led growth product into paid tiers, enterprise packaging, or sales-led adoption. Strong customer empathy for marketers, growth teams, agencies, ecommerce teams, publishers, and enterprise digital teams. Ability to operate like a business owner: product strategy, customer value, GTM, economics, execution, and organizational alignment.