Lead Technical Program Manager, Data

About the role

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.

The role involves building and growing a small TPM team; partnering with Data leadership on planning, prioritization, and execution across the data roadmap; maintaining partnerships with Engineering leaders to land big outcomes; leading flagship programs directly such as the data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset management and quality; establishing scalable practices; aligning cross-functionally; and connecting to outcomes and representing the data org.

Key Responsibilities

• 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, prioritization, 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.

About you

• Essential: 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.
• People leadership: You build, coach, and grow high-performing teams, and raise the bar on the craft.
• Tech strength: 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.
• Data ingestion expertise: Experience with data ingestion from raw data to processing through different stages and pipelines. Understanding of Directed Acyclic Graphs, their usage and challenges.
• Machine Learning knowledge: Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models.
• Technical tools proficiency: Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python.
• AI Agent proficiency: Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex.
• Neutral adaptability: Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.
• Systems thinking: 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.
• Product-minded: 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.
• Cross-functional leadership: Exceptional cross-functional leadership: You align and influence across data, ML, and engineering without relying on authority.
• Strategic & business impact: Strategic & business impact: You link data investment to measurable outcomes - quality, throughput, cost.
• Clear, data-driven communication: Clear, data-driven communication: You set direction with clarity and steer with the right metrics.
• Growth mindset: Growth mindset: Open to feedback and always looking to improve.

Desirable

• 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).

This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $259,200 to $312,400, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.