Staff Product Manager, Lyft AI Platform & Marketplace Applications

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 connects people to transportation to change the way we live and get around our communities. We are looking for product managers who bring exceptional creative, strategic, and analytical skills to drive forward a best in class product. Product managers at Lyft lead the integration of engineering, data science, and design to achieve the company’s vision of serving and connecting. We are looking for entrepreneurial and passionate product managers to innovate and execute across a rapidly growing, fast paced company and industry.

The Central Market Management and Applied Intelligence org is responsible for making Lyft’s most critical data driven decisions and the underlying AI/ML platforms that power hundreds of applications across the company. You will be the key product manager focused on the Agentic AI product and platform, and you will continuously evaluate opportunities and prospective use cases across the company to accelerate decision-making, and evangelize adoption of the team’s offerings.

You will work directly with senior leaders and expert engineers and scientists guiding them on the right frameworks for the evaluation of technology bets, grounding them in the needs of the business and product teams at Lyft, and building prototypes to inspire them in feature exploration. The perfect person for this job will have deep technical expertise, thrives in environments of intellectual confrontation and loves keeping up to date with the industry. You will aim to become a trusted expert throughout the company on anything AI related.

Responsibilities

Define, own and execute the roadmap of the AI platform and AI-powered marketplace products

Define, track and periodically report on metrics and KPIs of the org, both to align the org and to showcase the achievements & the misses to leadership

Engage teams and users of AI platform inside the company to understand their needs, evangelize current offerings and identify gaps or opportunities in the available tools

Write detailed product requirements, strategy and planning documents aimed at both technical and non technical audiences to drive alignment on product development, set expectations on delivery of milestones and create predictable outcomes for workstreams

Proactively engage, research and craft proposals for areas of the company where AI platform can drive efficiency and/or increase effectiveness

Present to non technical leadership on the progress of the team quarterly, showcasing concrete steps forward in the results driven by the tools of the team and adoption of them throughout the company

Oversee and guide build vs buy decisions, grounding them in data and research

Experience

7+ years of product management experience

Experience driving technically complex products end to end, from inception, to launch with significant user adoption, to sunset

Experience in managing (from product perspective) a team of software engineers and scientists, tracking the progress towards a roadmap through appropriate tools (Jira, Linear, Spreadsheets, Clickup etc)

Experience in crafting data visualizations for the automated measurements of KPIs and metrics, starting from raw databases (SQL, Tableau, Looker, Mode, Python visualization packages etc)

Familiarity with crafting and leading presentations to small groups at the CXO executives level and to big teams (100+ ppl) at an all hands like level in medium to large companies

Ease in driving results and operating independently and with little supervision in flat structured organizations where approvals are not needed but results are closely monitored

Strong understanding of agentic systems, context engineering, and multi-agent orchestration

Strong conceptual knowledge of machine learning and AI; hands-on coding experience with standard libraries (e.g., PyTorch, Keras, Scikit-learn, XGBoost) is a plus

Experience in handling third parties as vendors or customers and knowledge of Saas contract practices and software sales processes

Excellent skills in documenting and articulating complex technical systems.

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 $176,000 - $220,000, 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.