Staff Technical Product Manager (ServiceNow University)

Quick Facts

• Role: Staff Technical Product Manager (ServiceNow University)

Description

Own and execute the product strategy, roadmap, and technical requirements for assigned technical capabilities within ServiceNow University, shaping AI-native learning and credentialing experiences. Partner across product and cross-functional teams to translate learner and business needs into scalable, executable plans, driving measurable outcomes. Lead discovery and technical planning across personalization, conversational experiences, learner data, search, recommendations, and reusable experience components.

Responsibilities

• Define and execute product strategy and roadmap for assigned technical product capabilities

• Translate learner needs and roadmap priorities into requirements, user stories, acceptance criteria, and delivery plans

• Drive effective use of Lux and other ServiceNow AI and platform capabilities across relevant experiences

• Lead product discovery for capabilities spanning multiple product areas (personalization, conversational, learner data, search, recommendations, reusable components)

• Define reusable capabilities, integration patterns, and product standards for a consistent, scalable, consumer-grade experience

• Lead technical product planning: prioritize investments, evaluate technical trade-offs, and drive cross-team execution

• Partner with Engineering, Architecture, and Design to deliver scalable, secure, accessible, compliant, enterprise-ready capabilities

• Identify and manage dependencies across product areas, shared platform teams, enterprise systems, and external partners

• Define measurable outcomes (adoption, quality, reliability, engagement, and learning/credentialing impact)

• Communicate direction, technical decisions, dependencies, risks, and outcomes to senior stakeholders

Requirements

• 8+ years of product management or technical product management experience delivering enterprise software, digital platforms, AI-powered products, or customer-facing experiences

• Experience integrating or critically thinking about integrating AI into work processes, decisions, or problem-solving

• Proven experience defining and executing product strategy for technically complex capabilities and enterprise/cloud platforms

• Strong understanding of enterprise software architecture, APIs, data flows, integrations, cloud technologies, and distributed systems

• Experience with modern AI technologies including large language models, AI agents, conversational systems, search, recommendations, personalization, or contextual intelligence

• Demonstrated cross-functional delivery with Engineering, Architecture, Design, Research, and product stakeholders

• Experience defining reusable capabilities, integration patterns, or product standards for multiple product experiences

• Strong technical acumen to evaluate scalability, security, privacy, compliance, and enterprise readiness trade-offs

• Ability to translate learner/customer/business needs into technically actionable requirements and measurable outcomes

• Strong analytical skills using telemetry/evidence to define success measures and prioritize investments

• Exceptional communication and influencing skills

Benefits

• Base pay guideline: $149,800–$262,200 plus equity (when applicable), variable/incentive compensation, and benefits

• Health plans, flexible spending accounts, 401(k) with company match, ESPP, matching donations

• Flexible time away plan and family leave programs