Staff Inbound Product Manager

It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started. Join us to put AI to work for people. Knowledge is the connective tissue of employee self-service, and the quality of that knowledge influences how well AI systems perform. Bad articles don't just frustrate employees; they produce assured wrong answers from AI agents. This role exists to close that gap.   As a Staff Technical Product Manager on the AI Experiences & Platform Products team, you will own the product strategy and delivery for ServiceNow's enterprise employee-facing Knowledge Management product, built on ServiceNow Knowledge Center. You will drive governance frameworks, article lifecycle tooling, content quality standards, and the AI-readiness of the knowledge base that powers Now Assist, Moveworks and Employee Works across the enterprise. You will also serve as the internal customer zero for ServiceNow KM capabilities, validating features and representing production experience in customer-facing forums.  What you get to do in this role  Product ownership & roadmap  Own the technical product vision and roadmap for the enterprise employee-facing Knowledge Management product, including article authoring experience, lifecycle management, governance tooling, and AI readiness capabilities  Define, prioritize, and refine requirements; document epics and stories with clear acceptance criteria; drive end-to-end feature delivery in partnership with engineering, UX, and platform teams  Make trade-off choices between what's possible, desirable, and viable and communicate the reasoning clearly to stakeholders across DT and the business domains.   Knowledge governance  Guide the enterprise Knowledge Governance model: ownership structure, champion accountability, pillar coverage, and scaled governance across all employee-facing knowledge domains  Build and maintain the knowledge lifecycle framework, authoring, republishing, expiry, and retirement with policies and operational workflows that work at enterprise scale without constant intervention  Define and operationalize the Knowledge Health Score and standards that connect article quality to AI system performance across the enterprise   AI-readiness & content quality  Own the product definition for AI-facing knowledge quality: structural requirements, quality standards, and gap identification across the enterprise knowledge base  Partner with IT Service Management Team (AI Agents), Search & Conversational Interfaces (Now Assist and Moveworks) teams to understand how knowledge quality affects AI confidence and answer accuracy and build the feedback loop into governance  Surface and prioritize knowledge gaps that cause AI failures or broken self-service experiences before they reach employees   Customer zero  Serve as ServiceNow's internal customer zero for ServiceNow Knowledge Center and Now Assist authoring capabilities.   Validate features, surface issues early, and provide structured product feedback that influences the ServiceNow KM product roadmap  Represent production experience in Now-on-Now customer engagements and executive briefing centers; translate internal results into credible customer-facing narratives  Success measurement  Define adoption, quality, and AI-performance metrics across the enterprise KM product; instrument them and establish baselines  Examine usage data and knowledge telemetry to inform prioritization; validate impact post-launch  Run retrospectives; use what the data says to drive iteration  To be successful in this role you have: 7+ years of Technical Product Management experience, with demonstrated ownership of knowledge management, content platforms, or enterprise self-service products at scale  Fluency in AI:  Experience using AI in your own work processes such as drafting requirements, reviewing data, automating workflows, not just awareness of AI trends  Delivered at least one AI-powered product or AI-consuming capability with measurable outcomes  Day-to-day fluency in tools like Claude, Copilot, as part of how you work, not an occasional experiment  Governance instincts: you can design accountability structures that hold, build standards people didn't ask for, and get buy-in without a mandate  Strong technical judgment - you can scope a feature, write testable acceptance criteria, and hold a credible conversation with an engineer about implementation trade-offs  Clear communicator across audiences: you can translate content quality problems into business risk for a VP, and translate product strategy into actionable requirements for a scrum team  Demonstrated ability to turn ambiguous problems into a structured, prioritized roadmap  Preferred qualifications  Hands-on experience with ServiceNow Knowledge Management, Knowledge Center, or Now Assist and/or Moveworks.   Familiarity with how AI retrieval works and how knowledge structure affects AI answer quality  Experience working with knowledge taxonomy, metadata standards, or content structure in a context where AI or search performance depended on it  Prior experience in customer zero, as design partner, or internal beta capacity for an enterprise SaaS product  Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and th