At Lyft, the business problem is to cultivate a work environment where all team members belong and have the opportunity to thrive, and to achieve the company's vision of serving and connecting by making automated decisions that move the business forward using AI and ML.
Requirements
- 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)
- 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 writing technical documentation for software products
- 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
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
Other
- 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
- Experience in dealing with third parties outside of the company as suppliers or customers and knowledge of Saas contract practices and software sales processes
- 4-year degree or equivalent experience
- Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging
- 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
