Senior Technical Program Manager, AI Transformation

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.

Lyft Infrastructure builds the systems to ship stable, scalable, and efficient services. We're hiring a Senior Technical Program Manager to lead our AI transformation in developer productivity: rethinking how engineers at Lyft work with AI, from tooling and agentic workflows to the platforms that make them possible. This role blends program delivery with product sense: you'll own the roadmap for your area, set priorities, and act as the voice of the customer.

• →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
• →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

• 5+ years in Technical Program Management or a TPM/PM hybrid role
• A background in software, data, or systems engineering, enough to go deep with engineers
• Experience owning a roadmap: setting strategy, prioritizing across competing demands, and defining what success looks like
• Experience with developer productivity, developer tooling, or engineering platforms
• Hands-on familiarity with AI coding tools (Cursor, Copilot, Claude Code) and how engineers actually use them
• Bonus: experience building or shipping AI-native or agentic workflows
• A strong track record leading cross-functional programs with real dependencies and tight timelines, autonomously and with only high-level direction
• Experience owning customer relationships across engineering teams, gathering requirements, and translating their needs into roadmaps and technical specs
• Ability to glean meaningful insights from usage and productivity data to influence product planning and communicate to others
• Comfortable defining and tracking success metrics and adoption
• Clear communicator across the stack, from engineer to VP