Job Specifications
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 AI (artificial intelligence) and ML (machine learning) platform team part of the rideshare marketplace has the objective to ensure that Lyft is making automated decisions that move the business forward by providing hands-on expertise and tooling to teams ranging from non-technical to highly technical. As the only product manager on the team, you will craft the vision and the narrative through business understandable metrics and measurements, continuously evaluate prospective uses of algorithms and models across the company and evangelize adoption of the team's offerings.
You will work alongside expert and passionate engineers guiding them on the right frameworks for the evaluation of technology bets, grounding them in the needs of the product teams at Lyft (including Rider, Driver and Business). 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 machine learning and AI related.
Responsibilities:
Define, own and be responsible for the roadmap of the AI, ML and OR (operations research) platform team
Define, track and periodically report on metrics and KPIs of the team, both to align the team and to showcase the achievements & the misses to leadership
Engage teams and users of machine learning and AI 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 and ML 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:
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, 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
Knowledge of how machine learning and AI work, with direct coding experience using the most widely known machine learning and deep learning packages (xgboost, catboost, lightgbm, scikit learn, keras, pytorch etc)
Experience with the benefits and drawbacks of GPU accelerated ETL and machine learning workflows (NVIDIA RAPIDS etc)
Experience in dealing with third parties outside of the company as suppliers or customers and knowledge of Saas contract practices and software sales processes
Experience in writing technical documentation for software products
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 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
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program
Lyft is an equal opportunity employer c
About the Company
Whether it's an everyday commute or a journey that changes everything, Lyft is driven by our purpose: to serve and connect. In 2012, Lyft was founded as one of the first ridesharing communities in the United States. Now, millions of drivers have chosen to earn on billions of rides. Lyft offers rideshare, bikes, and scooters all in one app -- for a more connected world, with transportation for everyone.
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