Release Manager - AI Models

Highlights

• Own AI model release cycle from hypothesis to deployment across vehicle fleet.
• Define release gates balancing performance, safety and product requirements.
• Drive regression investigations and turn lessons into process improvements.

What they offer

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in ownership and long-term success
• Relocation support and visa sponsorship where applicable
• Hybrid working with core hours and hands-on workshop access
• Learning and development budgets for training and conferences
• Comprehensive health, dental, parental leave, pension and wellbeing support

Ideal candidate

A structured, ownership-driven release leader with 5+ years in complex software systems who thrives in ambiguity and loves bringing disciplined process to fast-moving ML and autonomous-driving development.

Requirements

• 5+ years of experience in release management, software engineering, or related field
• Understanding of SDLC and release management including testing, integration, branching and versioning
• Conceptual understanding of ML fundamentals including training, inference and model validation
• Experience with CI/CD pipelines and automation tools such as GitHub, Buildkite and CLI tools
• Skilled at managing releases in complex, fast-moving systems and adapting processes
• Strong problem-solving and decision-making skills with limited or ambiguous information