AI Product Operations Lead

Role Overview

The AI Product Operations Lead will build and operate the internal AI Operations capability for R&D, identifying high-value problems AI can solve, designing solutions, and staying accountable for their performance.

What You Will Do

The role involves building and improving the backlog of AI opportunities, taking ambiguous problems from discovery to delivery, designing AI-native solutions, and helping R&D get more value from enterprise AI tools.

Why It Might Be a Fit

The ideal candidate has strong practical experience applying AI to real-world problems, excellent systems thinking, and a track record of taking ambiguous problems from discovery through implementation and ongoing improvement.

Requirements

• Strong practical experience applying AI to real-world problems
• A track record of taking ambiguous problems from discovery through implementation, testing, adoption, and ongoing improvement
• Excellent systems thinking
• Strong user and workflow discovery skills
• Hands-on technical fluency and comfort building, modifying, and troubleshooting internal workflows, automations, agents, or applications
• Practical experience with modern development practices and tools such as GitHub, repositories and pull requests, basic application hosting, deployment, logging, and operational troubleshooting
• Experience managing work independently: prioritizing a backlog, handling dependencies and risks, documenting decisions, and communicating clearly with stakeholders
• A strong approach to evaluation and reliability
• The ability to work effectively across technical and non-technical teams
• Good judgment around responsible AI, security, access, and governance, and an understanding of when to bring in the right partners

Benefits

• Dental insurance
• Vision insurance
• Other benefits not explicitly mentioned in the posting