Job description
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 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 $148,000 - $185,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.
