About the job
You'll own the product strategy and execution for Action Fabric, ServiceNow's headless access layer for agentic AI platforms. This is a foundational role at the intersection of platform architecture, consumption economics, and frontier AI integration. You'll define how customers invoke the ServiceNow platform through their preferred tools, design pricing models that align with agentic consumption patterns (tokens, requests, actions), and partner with your organization's platform teams (MCP Server, A2A, REST/GraphQL APIs) and enterprise application teams (ITSM, ITOM, CRM, CSM) to deliver a cohesive, world-class headless customer experience.
Responsibilities
Define the Action Fabric vision and roadmap as ServiceNow's headless access paradigm.
Set ServiceNow's position in the emerging interoperability stack (MCP Server, A2A, REST/GraphQL APIs).
Drive consumption economics and pricing calibration.
Build and own the telemetry framework for platform actions.
Partner with platform integrations and leading AI providers to ensure ServiceNow is a first-class action layer inside the tools customers already use.
Own field messaging and competitive positioning.
Define and track metrics that reflect real impact.
Qualifications
Minimum
8–10+ years of product management experience, with at least 2–3 years owning product strategy for platform or integration products at enterprise scale.
Deep experience with consumption-based or usage-based pricing models.
Technical fluency with agentic AI - token consumption, action invocation patterns, cost-throughput tradeoffs, failure modes.
Experience owning monetization or platform strategy in a multi-business-unit environment.
Comfort with ambiguity and competitive urgency.
Excellent communication skills and demonstrated experience presenting to and influencing VP+ level executives across product, engineering, and go-to-market functions.
Preferred
Experience with integration platforms, headless architectures, or MCP (Model Context Protocol).
Background in enterprise-facing admin products or platform capabilities that require deep customer instrumentation.
Exposure to agentic AI product development or LLM-based application design.
Track record of building or scaling rate cards, metering systems, or consumption-based business models.