Lead Technical Program Manager, Data

Wayve Wayve · Robotics · Sunnyvale, CA · Product & Strategy

Lead Technical Program Manager for Data at Wayve, responsible for building and leading the TPM function for the Data org. This includes the data platform, ingestion, standardization pipelines, and enrichment, curation, and labeling that fuel the AI Driver. The role focuses on data quality, throughput, cost, and predictability of data landing for ML models, simulation, and validation. Requires strong experience in data programs, people leadership, and technical credibility in data infrastructure and ML.

What you'd actually do

  1. Build, coach, and grow a small TPM team; hire to fill gaps and raise the bar.
  2. Partner with Data leadership on planning, prioritisation, and execution across the data roadmap.
  3. 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.
  4. Data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset management and quality.
  5. Planning cadences, governance, KPIs and dashboards, escalations and operational reviews.

Skills

Required

  • 8+ years in data
  • Deep, hands-on experience delivering data programs as a technical program manager - data platform, pipelines, enrichment / curation, labelling
  • people and process leadership
  • built or scaled a program function
  • ownership and a bias for action
  • build, coach, and grow high-performing teams
  • raise the bar on the craft
  • Credible with engineers on data platforms, pipelines, and large-scale data infrastructure
  • Experience with distributed data platforms at Petabyte scale
  • Experience with data ingestion from raw data to processing through different stages and pipelines
  • Understands Directed Acyclic Graphs, their usage and challenges
  • Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models
  • Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python
  • Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex
  • Effective in ambiguous, fast-moving environments
  • flex your style and bring structure without slowing delivery
  • Systems thinking
  • Product-minded
  • Exceptional cross-functional leadership
  • align and influence across data, ML, and engineering without relying on authority
  • Strategic & business impact
  • link data investment to measurable outcomes - quality, throughput, cost
  • Clear, data-driven communicator
  • set direction with clarity and steer with the right metrics
  • Growth mindset

Nice to have

  • 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)

What the JD emphasized

  • 8+ years in data
  • Deep, hands-on experience delivering data programs
  • people and process leadership
  • built or scaled a program function
  • Credible with engineers on data platforms, pipelines, and large-scale data infrastructure
  • Experience with distributed data platforms at Petabyte scale.
  • Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models.

Other signals

  • data platform
  • data ingestion
  • data pipelines
  • enrichment
  • curation
  • labelling
  • dataset management
  • data quality
  • throughput
  • cost
  • time-to-insight