Release Manager AI Models
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the AI model release cycle from hypothesis through deployment. You will define promotion gates, manage release risks and regressions, improve processes and tooling, coordinate stakeholders, report status, and lead post-release reviews and corrective actions.
Requirements
- 5+ years of release management, software engineering, or related experience
- Knowledge of SDLC and release management practices, including testing, integration, branching, and versioning
- Understanding of machine learning fundamentals and probabilistic model validation
- Experience with CI/CD pipelines and automation tools including GitHub, Buildkite, and CLI tools
- Experience managing releases in complex, fast-moving systems
- Problem-solving and decision-making skills for release trade-offs
- Communication skills for engineers and leadership
Responsibilities
- Own model-release planning, coordination, and release cadence
- Define and run gates for model training, evaluation, validation, and deployment
- Define and justify model-promotion criteria
- Investigate regressions, integration issues, and technical debt
- Manage rollback and roll-forward of model versions
- Identify release-process bottlenecks and implement improvements
- Implement dashboards and KPIs for release visibility
- Partner on automated release tooling and define tooling requirements
- Coordinate ML engineering, evaluation, data science, software platform, testing, and product stakeholders
- Communicate release status, risks, and timelines
- Run post-release reviews and corrective actions
Benefits
- Hybrid working arrangement