The opportunity
At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
What you'll do
Lead Lyft's AI transformation in developer productivity: shape the strategy for how AI enhances engineering workflows, from adoption of tools like Cursor, Copilot, and Claude Code to building AI-native workflows and agentic tooling for engineers
Own the roadmap: sequence the work, make the prioritization calls, and define what success looks like for AI-driven engineering productivity at Lyft
Partner with engineering teams to build AI-native workflows that solve real: developer pain, not just deploy tools for the sake of it
Run programs end to end, from kickoff through delivery, coordinating across: infrastructure, developer platforms, and engineering leadership
Be the voice of the customer: partner with engineering teams across Lyft, surface their pain points, and feed that back into priorities and roadmaps
Define success metrics and adoption goals, gather and document customer: requirements, and make sure what ships actually solves the problem
What they're looking for
- Partner with engineering and infrastructure leads to build plans, call out: risks early, and keep stakeholders aligned
- Own program health: track milestones, surface blockers before they slip, and keep decision-makers in the loop
- Use your technical background to ask sharp questions and build plans the team believes in
- Share in the team's release oncall rotation
