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.

Lyft’s engineering team is growing rapidly, and we are looking for engineering managers to help us scale. Our engineers are curious and love solving difficult challenges. They look to their managers for transparency, career development, mentorship, and honest feedback. They move fast and ship code to production continuously, relying on their leadership to increase productivity by removing obstacles and keeping processes lean. Our engineering managers are people with varying technical backgrounds and interests -- some are involved in the technical details of their team and others provide general technical direction and oversight. As managers, our job is to keep teams motivated and working on the right goals. We build teams that are inclusive, helpful, and have a sense of ownership for the things they build.

Responsibilities:

• You will create the vision for Data and Data Warehousing across a product vertical and create a plan to achieve that vision
• You will partner with product management/data infra/customer teams to build shared goals
• Establish the processes needed to achieve operational excellence in all areas, including project management and system reliability
• You will build a high-quality BI and Data Warehousing team
• Build relationships with Data Scientists, Product Managers and Software Engineers to understand data needs
• Manage data warehouse plans across a product vertical
• Guide the design, building, and launching of new data models and data pipelines in production
• Manage development of data resources to support new product launches
• Drive data quality across the product vertical and related business areas
• Manage the delivery of insightful dashboards and data visualizations
• Establish SLA’s for all data sets and processes running in production
• You will report to the Head of Data Engineering or another Senior Engineering Manager.

Experience:

• 6+ years of experience in Data and Data Warehousing
• Experience scaling and managing 5-20 person teams
• Experience scaling data environments with distributed processing/RT systems and self-serve visualization environments
• Project management skills
• Data architecture skills
• Experience in SQL or similar languages and development experience in at least one scripting language (Python, Java, etc.)
• BA/BS in Computer Science, Math, Physics, or another technical field

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
• You will receive 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.