At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

We work hard at Lyft to delight drivers and passengers throughout their experience with us. To do this, we use the latest technologies and tools to better understand their needs and how we might make things better. Our Streaming Data team is looking for a fantastic Product Manager with a passion for data and a vision for how to use data in real time.

The teams across Lyft rely on Big Data tools and platforms to access and process data both in real-time and in offline modes. The Streaming Data team enable the linking of features and models into complete machine learning pipelines that would be used in a variety of production scenarios. These tools need to be more accessible and flexible to increase our speed to market with new features.

Responsibilities:

• This PM is focused on creating and driving the strategy for Lyft’s Streaming Data Platform team. Lyft is a data business and we need state of the art infrastructure to solve hard problems like matching drivers with riders, mapping, and responding in real time to world events around our customers.
• They will be collaborating with other machine learning Product Managers, Engineering managers across machine learning and key customers like Pricing, Mapping, and Science leadership.

Experience:

• 5+ years successful product management experience shipping developer focused tools.
• An academic background in an engineering or quantitative discipline. 
• Familiarity with machine learning modeling workflows and basics of Data Science  = feature selection and engineering, different machine learning model families, optimization considerations for machine learning models, deployment and serving challenges.
• Technical skillset - Worked at a technical level (eng, data scientist, PM) with Flink, Beam, Kafka.
• Successfully ship technical infrastructure products in a highly data dependent business (cloud native preferred).
• Familiarity with Amazon Web Services, Kinesis, Kubernetes, Flink, Beam, Kafka.

Benefits:

• Great medical, dental, and vision insurance options
• In addition to 11 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
• 401(k) plan to help save for your future
• 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
• Monthly commuter subsidy to cover your transit to work
• 20% off all Lyft rides

Lyft is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Lyft does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Lyft will also consider for employment qualified applicants with arrest and conviction records.