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Sr Staff Inbound Product Manager

ServiceNow - Mountain View, CA, United States - Hybrid - posted 2026-10-09

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Salary: USD 190,900 - 334,100 / annual

ServiceNow is seeking a Senior Staff Product Manager to guide product strategy for the company's AI-native platform as it scales toward $10B+ in revenue. This is a high-impact individual contributor role with company-wide technical scope and mentorship responsibilities. In this role, you will: - Guide product strategy and set priorities that drive growth at scale - Build consensus across organizational boundaries and communicate complex product decisions to diverse stakeholders - Own stewardship of key initiatives from conception through delivery, ensuring high-quality outcomes regardless of functional silos - Collaborate with engineering, design, and go-to-market teams to bring AI-native products to market - Stay ahead of AI product trends and research, translating cutting-edge developments into strategic product bets and differentiated features - Integrate usability research, customer feedback, and market assessments into product requirements - Translate complex technical and business problems into clear, actionable requirements - Mentor and coach product managers and cross-functional team members - Influence and guide efforts across multiple teams and organizational groups ServiceNow's AI control tower platform helps 85% of the Fortune 500 work smarter and faster by bringing together any AI, any data, and any workflow. The company is building an AI-native culture and is at the forefront of agentic AI product development. Requirements: - 12+ years of software product management experience - Proven experience shipping 1+ AI-native products from conception to production scale - Deep working knowledge of Model Context Protocol (MCP) architecture, server design, and MCP-based system orchestration - Understanding of Agent-to-Agent (A2A) communication protocols and multi-agent workflow design - Hands-on familiarity with LLM capabilities, limitations, hallucination patterns, and prompt engineering trade-offs - Experience architecting product solutions across multiple platforms or APIs with demonstrated ability to think through dependencies, handoff points, and data flow - Deep knowledge of the HR technology landscape - Ability to assess vendor AI/LLM capabilities, data quality, and readiness for agentic workflows - Experience with consumption-based pricing models or token-based economics in AI products - Strong prioritization skills and discipline to focus on high-impact activities - Experience defining product requirements and transforming them into product roadmaps - Deep curiosity about customer needs with a track record of building customer relationships and delivering customer-centric solutions - Experience driving solution development through big-picture thinking - Ability to serve as a team principal and coach employees at lower levels - Experience leveraging or critically thinking about how to integrate AI into work processes, problem-solving, and automation

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