Drimva

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.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 4, 2026 (UTC)