Lead Technical Program Manager (Data, Product & Strategy

• As the Lead Technical Program Manager for Data at Wayve, you'll build and lead the technical program management function for our Data org - the data platform, ingestion, standardisation pipelines, and the enrichment, curation, and labelling that fuel the AI Driver
• The data corpus is also critical for teams working on simulation and validation
• You'll be the delivery partner to engineering leadership for data teams and drive the department wide objective to make valuable data immediately and reliably usable
• You will leading flagship programs yourself while supporting and coaching a small, high-impact TPM team
• Your impact is measured in data quality, throughput, cost, and how predictably the data that powers every model lands
• A successful TPM leader is a force multiplier - helping teams move faster, more effectively, and with purpose
• Lead the function:
  Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar
• Own data delivery:
  Partner with Data leadership on planning, prioritisation, and execution across the data roadmap
• Trusted partner for Engineering:
  You are a leader in the org. You will maintain the partnership with Engineering leaders to land big outcomes, pushing teams to land impact with high leverage and hold leaders to account
• Drive flagship programs directly:
  Data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset management and quality
• Establish scalable practices:
  Planning cadences, governance, KPIs and dashboards, escalations and operational reviews
• Align cross-functionally:
  Work with data, ML, engineering, and external data / annotation suppliers; manage dependencies, risk, and trade-offs
• Connect to outcomes and represent the data org:
  Tie delivery to data quality, throughput, cost, and time-to-insight, and represent the data org in company-level reviews

• Private healthcare:
  Choose our optional health insurance for comprehensive coverage for you and your family.
• Paid time off:
  Paid vacation plus public holidays and additional leave programs, ensuring you have time to unwind.
• Mental health resources:
  Through Spill, you can access therapy and mental health support.
• Community and socials:
  Join clubs or attend team socials to connect over hobbies, sports, or just for fun.
• Competitive compensation:
  Our compensation package includes cash and equity, making you a true partner in our success.
• Learning and development:
  Budgets for books, courses, and company-wide training to support your continuous growth.

(The first four are our must-haves.)

• Clear, data-driven communicator:
  You set direction with clarity and steer with the right metrics
• Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models
• Experience with data ingestion from raw data to processing through different stages and pipelines. Understands Directed Acyclic Graphs, their usage and challenges
• Product-minded:
  You focus on outcomes and the people your programs serve - prioritising by impact and defining what good looks like, not just tracking activity
• Exceptional cross-functional leadership:
  You align and influence across data, ML, and engineering without relying on authority
• Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex
• Technically strong:
  Credible with engineers on data platforms, pipelines, and large-scale data infrastructure, even though you won't write production code
• Experience with distributed data platforms at Petabyte scale
• Stays neutral and adapts under pressure:
  Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery
• Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python
• 8+ years in data:
  Deep, hands-on experience delivering data programs as a technical program manager - data platform, pipelines, enrichment/curation, labelling - including people and process leadership. You've built or scaled a program function and you get things done with ownership and a bias for action
• Systems thinking:
  You reason about how the parts of a complex data system fit together, and how a change in one area ripples into others
• People leadership:
  You build, coach, and grow high-performing teams, and raise the bar on the craft
• Growth mindset:
  Open to feedback and always looking to improve
• Strategic & business impact:
  You link data investment to measurable outcomes - quality, throughput, cost
• Working experience with a large-scale distributed data platform used by 100s of engineers and researchers
• Background in autonomous vehicles, robotics, or another large-scale data / ML program
• An engineering or computer science degree, or experience working as an engineer; fluent with modern delivery tooling (e.g. Jira)