Application Guide
How to Apply for Manager, Data & Insights
at May Mobility
🏢 About May Mobility
May Mobility stands out as a leader in autonomous electric vehicles focused specifically on safe, sustainable urban transportation solutions. Unlike companies pursuing general self-driving technology, May Mobility specializes in geofenced autonomous shuttles for campuses, cities, and communities, emphasizing safety and accessibility. Working here means contributing directly to reducing carbon emissions and transforming how people move in urban environments.
About This Role
This Manager, Data & Insights role involves leading a team to extract and validate autonomous vehicle performance metrics from massive drive logs and simulation datasets. You'll build self-service platforms that enable engineering teams to query key metrics and drill down into data to identify system gaps and regressions. Your work directly impacts software readiness decisions and ensures the safety and reliability of May Mobility's autonomous vehicles.
💡 A Day in the Life
A typical day involves reviewing autonomous vehicle performance metrics with your data science team, analyzing recent drive logs for patterns or regressions, and collaborating with engineering leaders to prioritize data insights into actionable improvements. You'll spend time developing self-service data platforms that allow cross-functional teams to explore metrics independently while ensuring data quality and validation processes maintain rigorous safety standards.
🚀 Application Tools
🎯 Who May Mobility Is Looking For
- Has 5+ years experience specifically in robotics or autonomous vehicle data analysis systems, not just general data science
- Demonstrates hands-on experience with Python and large-scale data processing for sensor data from autonomous systems
- Can show specific examples of identifying patterns and regressions in high-dimensional time-series data from real-world deployments
- Has experience translating complex statistical findings into actionable engineering recommendations for cross-functional teams
📝 Tips for Applying to May Mobility
Highlight specific autonomous vehicle or robotics data projects in your resume, quantifying impact on system performance or safety metrics
Prepare concrete examples of how you've designed metrics to validate software readiness in safety-critical systems
Demonstrate familiarity with autonomous vehicle data challenges like sensor fusion, perception validation, or behavior prediction analysis
Show experience with both real-world drive logs and simulation datasets in your application materials
Emphasize your ability to build self-service platforms that enable non-data-scientists to extract insights from complex datasets
✉️ What to Emphasize in Your Cover Letter
["Your experience with autonomous vehicle or robotics data systems and how it applies to May Mobility's specific use cases", 'Examples of leading teams to extract key performance metrics from sensor data and drive logs', 'Your approach to building self-service data platforms that empower engineering teams', "How you've previously translated statistical findings into concrete action items for engineering improvements"]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → May Mobility's specific autonomous shuttle deployments in cities like Ann Arbor, Arlington, and Grand Rapids
- → Their safety philosophy and how they validate autonomous system performance
- → Their technology stack and data infrastructure (mentioned in technical blogs and presentations)
- → Recent company milestones, partnerships, or funding rounds that indicate growth direction
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Applying with only general data science experience without specific autonomous vehicle or robotics data background
- Failing to demonstrate hands-on experience with Python and large-scale data processing for sensor data
- Not showing understanding of the safety-critical nature of autonomous vehicle data validation
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!