Senior Product Manager, AI Enablement and Infrastructure

• Define product requirements and multi-year roadmaps for internal AI agent platforms, including agent runtimes, context indexing pipelines, and deployment gates.
  
• Partner with engineering leads across infrastructure, supply chain, and systems software to identify operational bottlenecks and deploy domain-specific automated agents.
  
• Establish platform product metrics for developer velocity, agent reliability, precision, recall, latency, and token cost attribution.
  
• Align requirements with central foundational model platform teams to integrate shared components and eliminate redundant tooling.
  
• Lead cross-functional working groups with senior technical stakeholders to prioritize platform capabilities, resolve architectural dependencies, and accelerate adoption.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI/ML).

Preferred qualifications:

• Master's degree in a technology or business related field.
  
• 10 years of product management experience driving developer platforms, internal tools, infrastructure software, or machine learning systems.
• Experience collaborating with distributed systems engineering, hardware operations, or supply chain technical teams.
  
• Track record of taking developer-facing platforms from initial conception to broad multi-organization adoption.
  
• Strong communication skills with demonstrated success aligning cross-functional technical leaders on product strategy.
  

• Bachelor's degree or equivalent practical experience.
  
• 8 years of experience in product management or related technical role.
  
• 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, end-to-end, 0 to 1, etc).
• Experience developing or launching products or technologies within artificial intelligence or Machine Learning (AI/ML).