Description
The Rider Recommendations team at Lyft is an Applied AI and Machine Learning team focused on personalizing real-time decisions within the Rider Apps. As a Senior Product Manager, you will work closely with machine learning, AI engineers, and data scientists to define objectives for the team's models and interface with stakeholders to understand their needs and Lyft's overall goals.
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
- 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 to effectively drive adoption while maintaining algorithm performance
- Work in a cross-functional team building a unified Rider profile vision by identifying, collecting, and organizing information about Riders for ML and AI training
- Write detailed product requirements, strategy, and planning documents to drive alignment on product development 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
- Experience in managing a team of software engineers, tracking progress towards a roadmap through appropriate tools
- Experience with user-facing large-scale experimentation and knowledge of concepts such as power and statistical significance
- Experience in using AI agents to accelerate day-to-day execution
- Knowledge of how machine learning and AI work, including widely known machine learning and deep learning packages
- Familiarity with crafting and leading presentations to small groups at the CXO executive level and to big teams
- Ability to review and provide critical product feedback to technical specifications written by engineers
- Ease in driving results and operating independently in flat-structured organizations
Benefits:
- Great medical, dental, and vision insurance options with additional programs available
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- 401(k) plan with company match
- Discretionary paid time off and 18 weeks of paid parental leave
- Subsidized commuter benefits
- Monthly Lyft credits and complimentary Lyft Pink membership