Principal Product Manager, Action Fabric

About the Role 

Youll own the product strategy and execution for Action Fabric ServiceNows headless access layer for agentic AI platforms. This is a foundational role at the intersection of platform architecture consumption economics and frontier AI integration. Youll 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 organizations 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. 

Why This Role Matters 

Agentic AI adoption is moving fast and the winners will be the platforms that make it easiest for agents to take action. This role sits at the center of that opportunity - building the product economics and partnerships that make ServiceNow the go-to action layer for frontier AI platforms. Youll work on zero-to-one product challenges shape industry standards as theyre being written and have direct influence on how ServiceNow monetizes its platform in the agentic era. 

Your Team & Context 

Youll join a platform organization focused on agentic access and developer monetization. Your team cuts across three core areas: 

• MCP Servers for customers (140 customers 20000 invocations per week) 
• Agent to Agent 
• REST and GraphQL API surface for platform access 
• Action Fabric the monetization and metering layer for platform actions through agentic access 

Success in this role is measured by four metrics: top-line capability growth (tokens/requests consumed) telemetry and instrumentation delivery cross-disciplinary collaboration across product engineering and go-to-market leadership and industry partnerships and collaboration across agentic interoperability standards. 

The Impact Youll Make

• Define the Action Fabric vision and roadmap as ServiceNows headless access paradigm. Youll 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 ServiceNows 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. Youll 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. Youll 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. Youll 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. 

Qualifications :

• 810 years of product management experience with at least 23 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 dont 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 youve 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. 

Nice-to-Haves 

• 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. 

For positions in this location we offer a base pay of $221200 - $387100 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information :

Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation national origin age disability gender identity  veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. 

Accommodations

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process or are unable to use this online application and need an alternative method to apply please contact for assistance. 

Export Control Regulations

For positions requiring access to controlled technology subject to export control regulations including the U.S. Export Administration Regulations (EAR) ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. 

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Remote Work :

Yes

Employment Type :

Full-time