Senior Technical Program Manager, AI Transformation

Socotra, Inc.; San Francisco (CA); Hybrid; USD 148,000 - 185,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Mental health benefits

Family building benefits

Child care and pet benefits

401(k) with company match

Discretionary paid time off

Parental leave

Commuter benefits

Lyft credits

Lyft Pink membership

Job summary

Lyft is seeking a Senior Technical Program Manager to lead our AI transformation in developer productivity. You will shape the strategy for AI-enhanced engineering workflows, own the roadmap, and drive end-to-end programs across infrastructure and developer platforms.

You will partner with engineering teams to implement AI-native workflows, define success metrics, and ensure products genuinely solve developer pain. This hybrid, in-office role in San Francisco emphasizes collaboration and impact.

Qualifications

• 5+ years in Technical Program Management or a TPM/PM hybrid role.
• Background in software, data, or systems engineering to engage deeply with engineers.
• Experience owning a roadmap: setting strategy, prioritizing, defining success.
• Experience with developer productivity, developer tooling, or engineering platforms.
• Hands-on familiarity with AI coding tools (Cursor, Copilot, Claude Code).
• Bonus: experience building or shipping AI-native or agentic workflows.
• Strong track record leading cross-functional programs with dependencies and tight timelines.
• Experience owning customer relationships across engineering teams and translating needs into roadmaps.
• Ability to glean meaningful insights from usage and productivity data.
• Comfortable defining and tracking success metrics and adoption.
• Clear communicator across the stack, from engineer to VP.

Responsibilities

• Lead Lyft's AI transformation in developer productivity: shape strategy for AI-enhanced engineering workflows and AI-native tooling.
• Own the roadmap: sequence work, set priorities, define success for AI-driven engineering productivity.
• Partner with engineering teams to build AI-native workflows that address real developer pain.
• Run programs end-to-end from kickoff to delivery, coordinating across teams.
• Be the voice of the customer; surface pain points and feed back into roadmaps.
• Define success metrics and adoption goals; gather and document customer requirements.
• Partner with engineering/infrastructure leads to build plans and manage risks.
• Own program health: track milestones and blockers, keep stakeholders informed.
• Use technical background to ask sharp questions and build credible plans.
• Share in the team's release on-call rotation.

Skills

Technical program management

Roadmap ownership

Developer productivity

AI coding tools

Cross-functional leadership

Customer relationship management

Data-driven decision making

Communication across senior levels

AI-native workflows

Agentic tooling

Team collaboration

Job description

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.

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

Experience:

• 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

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

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The 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. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.