Senior Technical Product Manager – Enterprise Data

Company Description 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 – Service Now 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 We’re not yesterday’s IT department, we’re Digital Technology. The world around us keeps changing and so do we. We’re redefining what it means to be IT with a mindset centered on transformation, experience, AI‑driven automation, innovation, and growth. We’re all about delivering delightful, secure customer and employee experiences that accelerate Service Now’s journey to become the defining enterprise software company of the 21st century.

And we love co‑creating, using, and highlighting our own products to do it. Ultimately, we strive to make the world work better for our employees and customers—when you work in Service Now Digital Technology, you work for them.

The Team: The Service Now Enterprise Data team builds AI‑powered data solutions to unlock full value of Enterprise data. This means building capabilities to elevate the automation and experience to build AI‑native applications and empowering everyone with Enterprise data to enable data‑driven decision making for every persona in the organization. We are looking for an experienced Technical Product Manager for Enterprise Data team, part of central Data & Analytics team.

With a focus on AI, this person will lead the strategy, roadmap, and execution of data and AI platform capabilities that power next‑generation intelligent enterprise applications to enable Enterprise Data for every persona and unlock full value of Enterprise data. This role focuses on building scalable, trusted, and AI‑ready data infrastructure, enabling seamless integration of GenAI and Agentic AI capabilities ensuring data orchestration, model lifecycle management, and observability.

This is a technical product role and expects the candidate to bring in the hands‑on expertise, ensuring enterprise‑grade scalability, governance, and performance while delivering customer‑centric, impactful solutions that accelerate AI adoption across the organization. The ideal candidate is a strategic thinker, fast learner, adept problem‑solver, and obsessed about customer value. This is a unique role to simplify the complexities for the data‑world and create value with unlocking enterprise data yet keeping security as the key consideration.

What you get to do in this role: As enterprises accelerate their AI transformation, the need for scalable, trusted, and data‑rich platforms has never been greater. As a Technical Product Manager for Enterprise Data with a focus on Generative AI and Agentic AI, you will define and drive the strategy for AI‑native data platform that power next‑generation intelligent applications unlocking the full value of Enterprise data.

In this high‑impact role, you will:

• Own the design, strategy and roadmap, and execution for enterprise data and GenAI platform capabilities—focusing on data lifecycle management, prompt orchestration, and output validation.
• Perform research, partner with cross‑functional teams, users and business leads, to understand the opportunities and ideate for enterprise grade design and solutions, with a focus on scale, quality, security and self‑service across the enterprise.
• Drive AI readiness and data initiatives, integrating governance, observability, and database capabilities into the platform.
• Collaborate closely with horizontal and vertical teams to embed AI‑driven capabilities and experiences into key workflows, ensuring reusability, scalability, and trust across the ecosystem.
• Combine technical depth with strategic vision, balancing innovation with operational excellence and performance optimization.
• Lead…