The opportunity
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.
What you'll do
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
What they're looking for
- 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 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
