Lead Technical Program Manager, Data Sunnyvale, California USA

OpenDigital Limited; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Wayve is seeking a Lead Technical Program Manager, Data in London to build and lead the TPM function for the 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”.

Qualifications

• 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 build, coach, and grow high-performing teams, and raise the bar on the craft.
• Credible with engineers on data platforms, pipelines, and large-scale data infrastructure, including distributed data platforms at Petabyte scale.
• Experience with data ingestion from raw data to processing through different stages and pipelines; understands DAGs and their challenges.
• Solid understanding of Machine Learning, GPUs and training/inference of large models.
• Proficient with Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python.
• Proficient with AI Agents to accelerate execution: Cursor, Claude, Codex.
• Stays neutral and adapts under pressure; systems thinking; product-minded; strong cross-functional leadership.
• Strategic & business impact; clear, data-driven communicator; growth mindset.

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, prioritisation, and execution across the data roadmap.
• Trusted partner for Engineering: Lead with engineering leaders to land big outcomes and hold leaders to account.
• Drive flagship programs directly: Data platform, data pipelines, enrichment & curation, labelling / annotation, and dataset management.
• Establish scalable practices: Planning cadences, governance, KPIs and dashboards, escalations and reviews.
• Align cross-functionally: Work with data, ML, engineering, and external data/annotation suppliers; manage dependencies and risk.
• Connect to outcomes and represent the data org: Tie delivery to data quality, throughput, cost, and time-to-insight.

Skills

Data program management

People leadership

Distributed data platforms

Machine Learning basics

Cross-functional leadership

Systems thinking

Product-minded

Data quality focus

Clear communication

Education

Engineering degree or CS degree

Tools

Databricks

Flyte

Ray

Kubernetes

Azure

Docker

Python

Job description

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

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.

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.

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, 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.

About you

In order to set you up for success as a Lead Technical Program Manager, Data at Wayve, we're looking for the following skills and experience.(The first four are our must-haves.)

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.
• 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.
  • 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.
• Stays neutral and adapts under pressure:Effective in ambiguous, fast-moving environments; you flex your style and bring structure without slowing delivery.
• 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: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.
• Strategic & business impact:You link data investment to measurable outcomes - quality, throughput, cost.
• Clear, data-driven communicator:You set direction with clarity and steer with the right metrics.
• 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 is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.