Senior Staff Product Manager, AI Platform

About the team The AI Platform team owns the foundational inference layer that every AI experience on the Now Platform depends on. How models are served, routed, and optimized across regions and deployment environments, including data centers, hyperscalers, and regulated segments. The team sets ServiceNow's multi-model strategy and unit economics, and drives the AI model strategy and transitions that underpin the platform's cost, performance, and flexibility at enterprise scale. This is not a zero-to-one product role, it's a scale role: enabling enterprise-wide AI deployment and customer success across every ServiceNow AI implementation, on a team that is actively growing to meet increased demand. About the role This is a rare seat for an agentic AI product leader: full end-to-end ownership of the inference layer that powers AI across an enterprise platform used by thousands of customers, not a single feature or model, but the infrastructure, economics, and vendor strategy behind all of them. You'll operate at the intersection of technology and business strategy, shaping how open-source and third-party models are selected, integrated, and optimized for cost efficiency across some of the most complex, regulated environments in the industry. ServiceNow's cross-vendor, multi-model approach and scale as a top enterprise AI adopter offer a front-row seat to how the AI inference landscape is evolving, with the influence to shape that strategy company-wide rather than execute someone else's roadmap. What you'll own Strategy and roadmap for the AI inference layer end-to-end, across every region and deployment environment ServiceNow operates in. Third-party and open-source model availability, selection, and integration — including performance, latency, and integration agility trade-offs. Inference economics: shaping cost-per-token and unit economics as usage volume scales. Vendor and partnership decisions behind the model layer, including build-vs-buy calls and hyperscaler relationships. Model strategy and transitions across data center, hyperscaler, and regulated-environment deployments, including data sovereignty requirements. Cross-functional execution alongside the existing AI Platform product team as the group scales to meet growing enterprise demand. What Success Looks Like You enable ServiceNow's AI strategy at scale — keeping model integration, cost optimization, and regional/regulatory rollout moving without becoming a bottleneck for the business or its customers, while continuously improving inference cost-efficiency as volume grows.

10+ years of product management experience, recent hands-on experience shipping agentic products. Deep technical fluency in inference technology: model serving, GPU economics, and latency/throughput trade-offs. Solid understanding of data sovereignty requirements and how they shape deployment decisions across regulated markets. A track record of vendor partnerships and build-vs-buy decision-making at scale. Demonstrated ability to operate independently on ambiguous, company-level problems. Proven skill influencing senior stakeholders without formal authority. Comfort working cross-vendor across a multi-model, multi-hyperscaler environment. Nice to Haves Prior experience partnering directly with hyperscaler platforms on AI infrastructure strategy. Experience shipping AI products or platforms into regulated or highly compliance-sensitive customer environments. For positions in this location, we offer a base pay of $190,900-$334,100, 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, ma