Staff Inbound Product Manager - AI Implementations

What you get to do in this role:

We are seeking an experienced Product Manager to lead the development of agentic and autonomous AI capabilities within the ServiceNow platform. This role is pivotal in shaping the future of AI-native implementations, enabling intelligent setup and configuration of enterprise workflows with minimal human intervention.

The ideal candidate is deeply passionate about AI platforms and brings proven experience both in the field of AI and in implementing ServiceNow solutions. They understand the critical role of data in building and scaling AI products, and thrive in fast-paced, ambiguous environments.

• Own the product strategy and roadmap for product area, with emphasis on data ingestion, model lifecycle management, grounding, prompt orchestration, output validation, and autonomous implementations.
• Partner with engineering and design to build robust, scalable platform components that address the unique challenges of implementations.
• Leverage existing ServiceNow capabilities while identifying key innovations needed to unlock the full value of AI across the product portfolio.
• Influence product teams to adopt Autonomous Implementation solutions to ensure long-term success for our customers
• Collaborate with Outbound partners to deliver ecosystem-aligned, data-powered solutions to market.
• Analyze competitive AI platform trends and identify whitespace opportunities to differentiate ServiceNow.
• Engage deeply with customers in partnership with Research and Outbound Partners to drive adoption, gather feedback, and continuously iterate on the roadmap based on evolving enterprise needs.
• Prototype and test new AI capabilities with cross-functional teams, translating early learnings into product direction.
• Champion customer-centric thinking across the organization and be the voice of ServiceNow administrators, developers and implementers.

To be successful in this role you have:

• Experience in building or managing AI platform capabilities, including data pipelines, model orchestration, LLM tuning, and evaluation frameworks, with a strong track record as an