Technical Program Manager, Evaluation & Validation
$214,900–$274,000 year
HybridLondon, England, United Kingdom
Job Summary
Own end-to-end delivery of cross-team programs spanning simulation, evaluation, and validation, sequencing initiatives across roadmaps while managing dependencies and risks. Coordinate release-gating validation with Autonomy, Science, Release, Product, and Safety teams to define acceptance criteria and gate real on-road releases. Run planning, reviews, and retros to communicate progress and risk, championing continuous improvement in tooling and processes. Connect platform delivery to measurable outcomes including developer velocity, signal quality, and validation credibility. Drive program delivery in a safety-critical, fast-moving environment where your impact is measured in release confidence and developer velocity.
Required Qualifications
- 8+ years leading complex, multi-team programs (or a strong record at this level)
- Credible with engineers and scientists across simulation, evaluation, ML, and validation
- Effective in ambiguous, safety-critical environments
- Skilled at planning, prioritising, and managing risk and dependencies across teams
- Influence without authority across Autonomy, Science, Release, Product, and Safety
- Comfortable defining and using metrics - signal quality, coverage, time-to-insight - to steer delivery and decisions
- Open to feedback and always looking to improve
- Reason about how the parts of a complex system fit together, and how a change in one area ripples into others
- Focus on outcomes and the people your programs serve - prioritizing by impact and defining what good looks like, not just tracking activity
- Full-time role based in Sunnyvale, CA (hybrid)
- An engineering or computer science degree, or experience working as an engineer
Desired Qualifications
- Experience in autonomous vehicles, robotics, or another safety-critical AI/ML program
- Familiarity with simulation, synthetic data, evaluation harnesses, or ML observability tooling at production scale
- Working knowledge of SOTIF (ISO 21448), ISO 26262, or other safety standards relevant to validating learned systems
- Excels in Jira (or similar)
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