Senior Staff Product Manager (AI Platform)
ServiceNow
full-remoteleadpermanentproduct-managementother Full remote - Santa Clara, CA, US Today via WTTJ
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AI PlatformProduct ManagementInferenceModel ServingGPU EconomicsLatency/Throughput Trade-offsBuild-vs-BuyVendor PartnershipsData SovereigntyAgentic Products
About the role
Role Overview
Join ServiceNow as a Senior Staff Product Manager (AI Platform), owning the AI inference layer that powers AI across the enterprise platform. You will set the strategy and roadmap for inference, guide model availability decisions, and drive cross-functional execution.
Key Responsibilities
- Own end-to-end strategy and roadmap for the AI inference layer across regions and deployment environments.
- Define third-party and open-source model availability, selection, and integration, including consideration of performance, latency, and integration agility.
- Shape cost-per-token economics and improve unit economics as usage volume scales.
Requirements
- Deep technical fluency in inference: model serving, GPU economics, and latency/throughput trade-offs.
- Proven experience with vendor partnerships and build-vs-buy decisions at scale.
- Understanding of data sovereignty requirements and how they affect deployment decisions in regulated markets.
- Ability to operate independently on ambiguous, company-level problems.
- Comfort working across a multi-model, multi-hyperscaler environment.
- Strong ability to influence senior stakeholders without formal authority.
- 10+ years of product management experience, including recent hands-on shipping of agentic products.
- Experience partnering directly with hyperscaler platforms on AI infrastructure strategy.
- Track record shipping AI products/platforms into regulated or highly compliance-sensitive customer environments.
Nice-to-Haves
- Not explicitly stated.
About ServiceNow
ServiceNow is a cloud-based software company focused on enterprise workflow and IT/service management platforms. It helps organizations automate and manage business processes at scale, and the company is expanding into AI capabilities across its enterprise platform.
Scraped 8/1/2026