AI Product Operations Lead - Typeform

About the team

Product Operations sits at the center of how our Product and wider R&D teams work. We help create the systems, practices, and connections that allow teams to focus on solving the right problems and delivering great products.

AI is becoming an increasingly important part of that work. Across R&D, teams are already experimenting with tools like Glean and Claude, building automations, testing agents, and finding new ways to use AI throughout the product development lifecycle.

The opportunity now is to turn that energy into something more systematic. That's where you come in.

About the role

We're looking for an AI Product Operations Lead to build and operate the internal AI Operations capability for R&D.

This is a hands-on role for someone who can take an ambiguous opportunity and turn it into a reliable, adopted solution. You'll help us identify the highest-value problems AI can solve, understand how people work today, design the right solution, build or coordinate its delivery, and then stay accountable for how it performs after launch.

You'll own the connective layer between AI strategy and day-to-day execution across R&D, reporting to our VP of Product Operations and working closely with Product, Engineering, Design, Research, Data Science, IT, InfoSec, and other AI practitioners.

What you'll do

• Build and continuously improve our backlog of AI opportunities across R&D, helping teams identify, prioritize, and sequence the jobs where AI can have the greatest impact.
• Take ambiguous problems from initial discovery through to delivery: understand user workflows, explore options and trade-offs, design systems, build or coordinate implementation, test, document, launch, measure, and improve.
• Design simple, AI-native solutions that fit naturally into how people work (prompts, workflows, integrations, agents, databases, or custom apps).
• Help R&D get more value from enterprise AI tools such as Glean and Claude, partnering with IT and InfoSec on access, configuration, connectors, enablement, and support.
• Own the lifecycle of AI systems within your portfolio, including automations, skills, agents, and internal web applications.
• Establish practical approaches to evaluation, testing, reliability, observability, security, and maintenance.
• Run and evolve R&D AI governance and enablement practices, giving leaders visibility into active work, risks, adoption, and outcomes.
• Work with Finance and other partners to improve visibility into AI tool usage, spend, and value.
• Explore and support the development of autonomous agents that improve how we plan, discover, design, build, evaluate, and manage work.

What you'll bring

• Strong practical experience applying AI to real-world problems and building adopted solutions.
• A track record of taking ambiguous problems from discovery through implementation, testing, adoption, and ongoing improvement.
• Excellent systems thinking and ability to make thoughtful trade-offs across people, processes, tools, and technical constraints.
• Strong user and workflow discovery skills to uncover real jobs to be done and simplify complex solutions.
• Hands-on technical fluency and comfort building, modifying, and troubleshooting internal workflows, automations, agents, or applications.
• Practical experience with modern development practices and tools (GitHub, repositories, pull requests, hosting, deployment, logging).
• Experience managing work independently, prioritizing a backlog, and communicating clearly with stakeholders.
• Strong approach to evaluation, reliability, testing, and continuous system improvement.
• Effective cross-functional collaboration skills across technical and non-technical teams.
• Good judgment around responsible AI, security, access, and governance.