Senior Technical Program Manager, AI Transformation

Responsibilities

• 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

Requirements

• 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
• 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

Nice-to-Haves

• Bonus: experience building or shipping AI-native or agentic workflows

Compensation and Benefits

• Expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits
• Great medical, dental, and vision insurance options with additional programs available when enrolled
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match to help save for your future
• In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership