What are the responsibilities and job description for the Senior Manager, Data Engineering position at May Mobility?
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 innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think.
Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us.
Job Summary
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.
Essential Responsibilities
- 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
Skills and Abilities
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
Qualifications and Experience
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
Desirable
- 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
Physical Requirements
- Standard office working conditions which includes but is not limited to:
- Prolonged sitting
- Prolonged standing
- Prolonged computer use
Travel required? - Minimal: 1%-10%
Benefits and Perks
- 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
Want to learn more about our culture & benefits? Check out our website!
May Mobility is an equal opportunity employer. All applicants for employment 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. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know.
Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.
