ServiceNow is a leader in AI-driven business solutions, and they are seeking a Principal Product Manager for Action Fabric. In this role, you will own the product strategy and execution, defining how customers interact with the ServiceNow platform and driving the monetization and integration of agentic AI capabilities.
Responsibilities:
- Define the Action Fabric vision and roadmap as ServiceNow's headless access paradigm. You'll articulate how agentic platforms and applications invoke the system of action, what controls need to be in place, and how that consumption is measured, metered, and monetized
- Set ServiceNow's position in the emerging interoperability stack (MCP Server, A2A, REST/GraphQL APIs) - turning agentic interoperability into a governed, differentiated customer outcome rather than a commodity connector
- Drive consumption economics and pricing calibration. You'll monitor live customer signals (e.g., agent invocations, use cases, token consumption patterns) to ensure pricing models are sound, competitive, and scalable. This requires financial fluency and executive presence to make peer-level decisions with pricing, product, engineering, and finance
- Build and own the telemetry framework for platform actions. You'll partner with engineering to instrument how customers consume the platform, what drives value, and where to optimize
- 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. You'll work closely with go-to-market leadership on customer enablement and thought leadership. When customers and partners ask hard questions about pricing, positioning, competitive alternatives, or roadmap, you are the product authority making real-time calls as adoption patterns and competitive dynamics shift
- Define and track metrics that reflect real impact. You live and breathe product adoption, consumption, and business metrics. You use data to surface early signals and iterate quickly in an ambiguous, fast-moving space
Requirements:
- 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. You understand pricing mechanics, can read and challenge financial models, and have peer-level conversations with finance teams about unit economics and margin drivers
- Technical fluency with agentic AI - token consumption, action invocation patterns, cost-throughput tradeoffs, failure modes. You don't need to be an engineer, but you need enough depth to evaluate architecture tradeoffs and have credible conversations with technical teams
- Experience owning monetization or platform strategy in a multi-business-unit environment. You understand how to navigate the tension between revenue scale and customer adoption, and you've built alignment across engineering, finance, and go-to-market through clarity and evidence
- Comfort with ambiguity and competitive urgency. You define metrics early, make directional calls with incomplete data, change your mind when new evidence arrives, and do not need consensus to move
- Excellent communication skills and demonstrated experience presenting to and influencing VP+ level executives across product, engineering, and go-to-market functions
- 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