Product Engineer, AI Enablement

Ultra is hiring a Product Engineer, AI Enablement to build and roll out reliable AI tools and workflows across the company. The role spans engineering productivity and business operations, including integrating or developing tools, enabling adoption, and measuring their effectiveness and trustworthiness.

Responsibilities:

• Own AI tooling adoption across Ultra: find where AI improves velocity, build or integrate the solution, teach people to use it, and drive adoption until it sticks
• Build the internal AI stack: services, workflows, interfaces, model integrations, and the agent infrastructure behind them
• Make agents competent and trustworthy in Ultra's codebase and systems — context, tool access, review, testing, CI — so the good path is the easy path
• Partner with operations, deployment, data, and business teams on workflows that give them leverage, then hand off maintainable systems with clear owners
• Build the reusable layer: connectors, shared context, templates, examples, and guardrails so other people can extend what you ship
• Evaluate the AI tooling ecosystem and decide what Ultra should adopt, compose, or build
• Partner with infrastructure and security so AI tools have useful access without becoming a liability
• Measure adoption, productivity, and whether the tool is actually trusted; expand what works and kill what doesn't