Senior Staff Product Manager, AI Platform

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.

What You'll Own

• Strategy and roadmap for the AI inference layer end-to-end, across every region and deployment environment
• 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

Qualifications

• 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
• 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