May Mobility
Director, Performance Analytics
$217K–$312K
USA - Remote · Remote · Director · Full-time · Posted May 27, 2026
- Experience
- 8+ years in performance/analytics, applied statistics, or data science; at least 4 years managing senior individual contributors and front-line managers.
- Education
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Physics, Robotics, or a related quantitative field, or equivalent practical experience.
About the job
Leads the Performance Analytics function, establishing trusted autonomy-performance metrics and using fleet, simulation, and operational data to guide product, safety, and deployment decisions.
What you'll do
- Set the analytics strategy and roadmap, and lead and develop the team.
- Define performance metrics, experimentation standards, release criteria, and ODD-expansion gates with cross-functional leaders.
- Monitor and decompose autonomy performance, identify root causes, and communicate findings to technical and non-technical stakeholders.
What they ask for
- 8+ years of industry experience in performance/analytics, applied statistics, or data science, including at least 4 years managing senior individual contributors and front-line managers.
- Led performance analytics, experimentation, or V&V analytics in at least one listed domain; demonstrated leadership of a team of 10 or more through a major delivery.
- Strong programming skills in Python and SQL, plus experience setting measurement and experimentation standards in an engineering or product organization.
- Bachelor's degree in a related quantitative field, or equivalent practical experience.
Nice to have
- Master's or PhD in a related quantitative field.
- Experience with deployed AV, robotics, or hard-tech products; simulation or synthetic data; safety cases or ODDs; regulator engagement; or relevant publications/conference contributions.
Pay
$217,000 — $312,000 USD (base salary)
Tools
Python, SQL, C/C++
AI focus
Applies machine learning selectively to improve analysis quality, including trend and anomaly detection; works with autonomy-stack performance, simulation, and synthetic data.
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