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Salary: USD 190,900 - 334,100 / annual
ServiceNow is seeking a Senior Staff Inbound Product Manager to guide product strategy as the company scales toward $10B+ in revenue. In this role, you will set product priorities, build consensus across organizational boundaries, and serve as an accountable owner committed to outcomes regardless of functional silos. You'll work with multiple teams to guide projects through development and deliver high-quality products to market.
Key responsibilities include staying ahead of AI product trends and translating cutting-edge developments into strategic product bets and differentiated features. You will integrate usability studies, market research, and customer assessments into product requirements to enhance user satisfaction. You'll communicate complex problems into clear, actionable requirements and develop multi-mode communications tailored to different audiences. Additionally, you'll guide cross-functional efforts, influence stakeholders inside and outside your team, and serve as a principal coach for employees at lower levels.
This role is particularly focused on agentic AI products and requires deep expertise in AI-native product development, including Model Context Protocol (MCP) architecture, Agent-to-Agent (A2A) communication protocols, and multi-agent workflow design. You'll assess vendor AI/LLM capabilities, understand data quality requirements for agentic workflows, and have hands-on familiarity with LLM limitations, hallucination patterns, and prompt engineering trade-offs. Experience with consumption-based or token-based pricing models in AI products is essential.
You'll also need deep knowledge of the HR technology landscape and the ability to architect product solutions across multiple platforms and APIs, thinking through dependencies, handoff points, and data flows.
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
- 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
- Experience leveraging or critically thinking about how to integrate AI into work processes, problem-solving, and automation
- 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
