Senior Manager, Data Engineering

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our Multi-Policy Decision Making (MPDM) technology that reimagines the way AVs think.

Our vehicles provide value to communities, bridge public transit gaps and move people safely, easily and with more fun. We are building the world’s best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use. Since 2017 we have given more than 300,000 autonomy-enabled rides to real people around the globe. We’re hiring people who share our passion for building the future, solving real-world problems and seeing the impact of their work.

Join us.

Senior Manager, Autonomy Data Engineering is responsible for ensuring that May’s drive (and other related) data is stored responsibly (including cost effectiveness and cyber security), processed efficiently, and maximally used to increase insight and performance of May’s autonomous vehicle capabilities both in R&D and commercial activities.

• Own the many different types of data streams that our systems and operations produce so that they may be used effectively to scale our software development and operations
• Lead design, manage, and scale our real-time and historical data pipelines to enable our fleet to operate and facilitate continuous development of our system
• Build infrastructure others can use: define best practices and set technical standards for ingestion, transformation, validation, and testing
• Identify technical bottlenecks and resourcing gaps, propose scalable solutions or team structure adjustments, and contribute to the technical roadmap while mentoring others to improve team capacity
• Own data observability, integrity, and monitoring best practices
• Collaborate across teams to make data accessible via APIs and internal tools
• Organize and scope team work day-to-day along with performance management cycles
• Be a role model and a multiplier, coaching and mentoring engineers across the org

Success in this role typically requires the following competencies:

• Ability to undergo a driving record check
• Excellent attention to detail and rigorous testing methodology
• Identifies complex problems and devises optimal and innovative solutions that often cross organizational boundaries
• Removes organizational barriers. Ability to make optimal trade-offs in own goals and resources (staff and budget) to help the team achieve its goals
• Proactive and anticipates challenges
• Ability to mentor staff of various skills and personalities, including both technical staff and other managers
• Maintains customer orientation in all engineering decision making
• Develops alternative approaches in collaboration with other managers to increase business results

Candidates most successful in this role typically hold the following qualifications or comparable knowledge or experience:

Required

• B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree
• 7+ years of relevant work experience
• Hands-on experience with distributed systems and databases such as Kafka, NATS, Spark, Flink, Druid, Clickhouse, Pinot
• Strong working knowledge of data structures and algorithms
• Proficient in a professional software language such as C++, Rust, Python, or Java
• Exceptional written and verbal communication skills and team leading abilities
• M.S. Degree in Computer Science, Computer Engineering and 10+ years of industry experience
• Experience building and managing large-scale data-processing pipelines in a cloud environment
• Working knowledge of telemetry systems and real-time data processing

• Standard office working conditions which include but are not limited to:
• Prolonged sitting
• Prolonged standing
• Prolonged computer use

• Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
• Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
• Rich retirement benefits, including an immediately vested employer safe harbor match.
• Generous paid parental leave as well as a phased return to work.
• Flexible vacation policy in addition to paid company holidays.
• Total Wellness Program providing numerous resources for overall wellbeing

Note:

May Mobility is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. If you believe you will need any type of accommodation, please let us know.