or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days Wayve's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 77 stale, 1 reposted of 169 open
- Hiring momentum
- 201 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.
About this role
As the Lead Technical Program Manager for AI Platform at Wayve, you will build and lead the technical program management function for the AI Platform, overseeing data and compute infrastructure, model-development workflows, and training technology. Your role involves partnering with engineering leadership to drive the delivery of systems that enhance model training and deployment, while also coaching a small team of TPMs. You will be responsible for aligning cross-functional teams and ensuring that delivery is tied to measurable outcomes such as developer velocity and compute efficiency.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.
What you need
- 8+ years in platform/infrastructure as a technical program manager
- Experience delivering platform or infrastructure programs including people and process leadership
- Ability to build, coach, and grow high-performing teams
- Strong understanding of Machine Learning, GPUs, and large model training/inference
- Experience with embedded/on-vehicle systems and inference optimisation
- Familiarity with compute management and ML platform tooling (e.g., Kubernetes, Docker, Azure)
Nice to have
- Experience with large-scale ML/compute platforms used by multiple engineers
- Background in autonomous vehicles, robotics, or large-scale ML/infrastructure programs
- An engineering or computer science degree or experience working as an engineer
What you get
- Hybrid working policy combining office and remote work
Worth weighing
- No salary listed
- Fast-paced and ambiguous environment may require adaptability
- Focus on measurable outcomes may lead to pressure on delivery timelines
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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