Principal Product Manager, Microsoft Clarity

Microsoft•Redmond, WA
•$165,600 - $331,200

About The Position

Microsoft is seeking a Principal Product Manager to lead Clarity Commercialization, focusing on AI Visibility, enterprise readiness, pricing and packaging, and the capabilities needed to scale Clarity as a business. The role will define how Clarity moves from broad product-led adoption to paid customer value, including analytics, workflows, permissions, APIs, reporting, onboarding, and go-to-market motions for enterprises, agencies, sellers, and customer success teams. The position combines web and AI analytics, GEO and AI discoverability, pricing, enterprise SaaS, Microsoft Advertising, and customer-facing go-to-market work. The product leader will partner across engineering, data science, design, marketing, sales, customer success, finance, and business planning to shape strategy and deliver products, launches, adoption, and commercial outcomes. The role will connect product usage to customer and business value and help Clarity become an analytics layer for understanding human behavior, AI-mediated discovery, agent activity, and growth-driving actions. AI Experiences employees living within a 50-mile commute of a designated Microsoft Hub in the U.S. are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Requirements

  • Bachelor's degree and 10+ years of 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, go-to-market 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 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.
  • Strong written and verbal communication skills with the ability to communicate across levels and disciplines and clarify ambiguous product and business tradeoffs.
  • Strong customer empathy for marketers, growth teams, agencies, ecommerce teams, publishers, and enterprise digital teams.
  • Ability to operate like a business owner across product strategy, customer value, go-to-market, economics, execution, and organizational alignment.

Nice To Haves

  • Bachelor's degree and 15+ years of experience in product/service/program management or software development, or equivalent experience.
  • 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 advertising, marketing technology, agency workflows, Microsoft Advertising, or customer acquisition products.
  • 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.

Responsibilities

  • Define and lead Clarity Commercialization product strategy, including paid customer scenarios, pricing and packaging inputs, enterprise readiness, go-to-market needs, and measurable business outcomes.
  • Translate feedback from customers, agencies, sellers, and partners into product requirements for enterprise customers, account hierarchies, agency models, permissions, privacy-safe sharing, onboarding, and support readiness.
  • Define capabilities 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 deliver product, launch plans, adoption targets, and commercial outcomes.
  • Connect product usage to business value, including activation, retention, paid conversion, revenue attribution, Microsoft Advertising value, and customer ROI.
  • Use data, experimentation, customer conversations, competitive signals, and field feedback to prioritize commercialization opportunities and stop work that does not create customer or business value.
  • Create executive and cross-functional alignment on the commercial roadmap, including free, paid, and enterprise-only offerings and capabilities needed to scale through sellers and partners.
  • Help Clarity become a trusted analytics layer for the AI economy, enabling businesses to understand human behavior, AI-mediated discovery, agent activity, and actions that drive growth.
  • Model Microsoft culture through customer obsession, accountability, direct communication, inclusive collaboration, and working through ambiguity.
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