Staff Inbound Product Manager - Agentic AI

Staff Inbound Product Manager - Agentic AI

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Job Description

What you get to do in this role:

We are seeking an experienced Product Manager to lead the development of agentic and AI capabilities within the ServiceNow platform. This role is pivotal in shaping the future of AI-native solutions to be leveraged by our customers, targeting the Admin persona.

The ideal candidate is deeply passionate about AI platforms and brings proven experience both in the field of AI. 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 administrative experiences.
• Partner with engineering and design to build robust, scalable platform components that address the unique challenges of the personas you serve.
• 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 frameworks and 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.

Qualifications

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 individual contributor.
• Experience working and building for Administrator personas
• Strong understanding of the role of data in AI development—labeling, quality, governance, and how it impacts model performance and business outcomes.
• 8+ years of enterprise software product management experience, with at least 5 in SaaS; AI/ML or data platform experience strongly preferred.
• Lead, manage a high-performing team of product managers, leveraging exceptional leadership skills to inspire and motivate them to achieve exceptional results.
• Entrepreneurial mindset with experience launching 0-to-1 products or platform capabilities; proven ability to scale offerings over time.
• Obsession with product-market fit and delivering value at speed while maintaining a long-term architectural vision.
• Proven collaborator with experience driving consensus and execution across engineering, design, sales, and customer success teams.
• Analytical thinker with strong data literacy; able to connect technical metrics with product strategy and user outcomes.
• Excellent communicator who can tailor messages to technical and business audiences alike, from LLM practitioners to C-suite stakeholders.
• Comfortable navigating complexity and ambiguity, with a bias for action and continuous learning.
• Thought leadership in Generative AI trends, AI safety and ethics, and enterprise AI adoption patterns.