Greenhouse · Posted 26 Oct 2026

full-time

Senior Product Manager, Rider ML/AI

Lyft · San Francisco, CA

Lyft is a transportation-as-a-service company that facilitates ride-sharing and multimodal transit. The Senior Product Manager for Rider ML/AI will lead the Rider Recommendations team, which serves as the orchestration layer for personalization and real-time decision-making within the rider application. This role involves defining the product roadmap for applied machine learning and AI features across the entire rider conversion funnel, including search, ride modes, and content ranking. Day-to-day responsibilities include collaborating with data scientists and AI engineers to establish objective functions for models, managing cross-functional alignment, and tracking key performance indicators related to financial outcomes. The position requires translating complex technical objectives into actionable product requirements, designing large-scale experiments, and presenting progress to executive leadership. This role is well-suited for a candidate with significant experience driving end-to-end machine learning products in consumer-facing environments. A successful applicant will possess a deep understanding of ML frameworks, statistical experimentation, and the ability to balance short-term business goals with long-term user value and stakeholder requirements.

product managementmachine learningapplied airider experiencedata scienceexperimentationpersonalizationsenior level

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. The Rider Recommendations team is an Applied AI and Machine Learning team tasked with personalizing all realtime decisions happening inside the Rider Apps, including search, ride modes, content selection and ranking, message generation and others. Since last year, this team has been one of the major contributors to financial outcomes at Lyft and, working closely with the Rider App team, they are in the process of evolving the Rider application to make more room for personalization and realtime decision making. The team operates as the orchestration layer behind everything that the rider sees, being the final decision maker on what to show. You will work closely with machine learning, AI engineers and data scientists to define the right objectives for the team’s models, interfacing with the rest of the company to understand the Rider App’s stakeholder teams needs and Lyft’s overall goals. In order to do this, you will have to identify the outcomes worth pursuing and translate them into a single objective to be used end to end by the applications. You’ll have to consider short term and long term tradeoffs, other than objectives of partner teams. Responsibilities: Define, own and be responsible for the roadmap of applied ML and AI products in every screen of the Rider Application, through the Rider conversion funnel Define, track and periodically report on metrics and KPIs of the team, being directly responsible for financial outcomes that the team drives Define the objective function to be maximized / minimized throughout the rider app, taking into account short term, long term and stakeholder teams’ objectives (Loyalty, Partnership, Ads, Business, AV, Safety, Luxury etc) Work with data science to define, measure and predict long term value of Riders Identify how to cold start new launches of region, modes and features in order to effectively drive adoption while still maintaining algorithm performance Work in a cross functional team building a unified Rider profile vision by identifying, collecting and organizing information about Riders to be used for ML and AI training 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 Design, run and analyze experiments and ongoing evaluation systems to monitor model performance and evaluate improvements Present to non technical leadership on the progress of the team monthly, showcasing progress and highlighting roadblocks Experience: Experience driving technically complex machine learning (ML) products end to end, from inception, to launch with significant user adoption, to sunset. Ideally the applications are consumer facing and involve UI interactions with users Experience in managing (from product perspective) a team of software engineers, tracking the progress towards a roadmap through appropriate tools (Jira, Linear, Spreadsheets, Clickup etc) Experience with user facing large scale experimentation (optimizely, statsig, eppo etc), knowing concepts such as power and statistical significance Experience in using AI agents to accelerate day to day execution including, amongst others, to: understand code, perform queries on company data, prepare dashboards for leadership Knowledge of how machine learning and AI work, including of the most widely known machine learning and deep learning packages (xgboost, catboost, lightgbm, scikit learn, keras, pytorch etc), other than the autoresearch approach Familiarity with crafting and leading presentations to small groups at the CXO executive level and to big teams (100+ ppl) at an all hands like level in medium to large companies Ability to review and provide critical product feedback to technical specifications written by engineers 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 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

Role	Senior Product Manager, Rider ML/AI
Company	Lyft
Location	San Francisco, CA
Type	full-time
Compensation	Not disclosed
Posted	2026-10-26
Deadline	Rolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

1ApplicationSubmit your resume through the apply link.
2ScreeningRecruiter reviews your background against the role.
3AssessmentA technical test, assignment, or coding round, depending on the role.
4Interview(s)One or more rounds with the hiring team.
5OfferOffer letter with compensation and start date.

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