Technical Program Manager - Data

At Oxa, we're building the future of Industrial Mobile Autonomy (IMA) and are in the market for new talent.

Oxa’s customers are the operators of some of the world's largest industrial facilities. Our technology transforms existing industrial vehicles into intelligent autonomous fleets, unlocking new levels of productivity, safety, and performance.

‘The phone in your hand, the coffee on your desk, the shirt on your back - they all moved through a web of ports (air and sea), distribution yards and manufacturing hubs. This is the invisible circulatory system of global trade, and it relies entirely on a relentless, repetitive shuffle of goods. Towing.

This towing task happens in complex, commerce-critical industrial environments. Here, having self driving technology “do the driving” delivers immediate, measurable impact. IMA will revolutionise the movement of goods across the world's ports, airports, and yards.

You can be part of that as an Oxbot’

01Our Products

Our products are built on four core technology pillars which come together to build a complete system:

Oxa Ware, Our modular autonomy hardware systems for consistent and repeatable integration of autonomy with existing vehicles.

Oxa Driver, Our Physical AI, embodied in Oxa Ware, self-driving software that enables vehicles to perceive, reason, and drive autonomously in complex real-world environments.

Oxa Foundry, Our development toolchain that leverages generative AI to continuously train and assure Oxa Driver, synthesising situations and sensor data.

Oxa Hub, Our suite of cloud services for monitoring, managing and orchestrating fleets driven by Oxa Driver, including an API for integration with existing logistics systems.

Behind these technologies is our exceptional team, the Oxbots. We are home to some of the world's leading experts in autonomous systems, robotics, machine learning, artificial intelligence, cloud infrastructure, and distributed software engineering. Together, we're solving some of the hardest technical challenges in autonomy, turning the research and development we do into production and deploying it into environments. Making robots do useful work.

02Your Team

You will join the Data layer of Oxa Driver: the teams that train, teach and test the machine-learning systems our vehicles rely on. They turn data from our vehicles and simulation into the datasets, scenarios and tools the rest of the stack builds on, and their workload grows with each new operating domain and site we take on.

Data is a group of teams responsible for:

• collecting and curating real-world data, including dataset quality and labelling

• generating synthetic sensor data to fill gaps in real-world coverage

• simulation and digital twins of the sites our vehicles operate in

• the data infrastructure that stores, organises and serves this data

• applying machine learning to hard problems across the stack

The teams work closely with Autonomy Applications, who train and deploy models on this data, Integration & Test, our data ingest and platform teams, our safety team, and the Solutions team who take our products to customers.

03Your Role

Our Technical Program Manager is the delivery enabler for the Data teams. They coordinate delivery so the teams can collect, curate, generate and ship data with less friction, and their leads can focus on engineering.

They will work with engineering, product and solutions leaders across the stack who own customer outcomes. The focus of the Program Manager is to make sure the datasets, simulations and tools other teams depend on arrive when planned, with risks and dependencies visible early.

This role will be based in our Oxford office, with occasional visits to our vehicle sites to support understanding of how data is collected and used.

04Your Responsibilities

• Take the layer's commitments in our product engineering plan and, with the leads, turn them into sequenced work with dates and a clear definition of done. Bring the teams' planning into Jira in a way that adds little overhead, and keep work traceable to the products it supports.

• Run the regular triage of data-quality issues that affect model training, such as calibration, timing and labelling problems. Make sure every issue has an owner, a priority and a next step.

• Coordinate the data, scenarios and simulation each new operating site needs, so they are ready when the site goes live.

• Run the layer's cloud cost reporting, and help leads balance cost against keeping available the data that teams need.

• Track what the teams need from others and what others need from them, raise conflicts early and broker the trade-offs:

  • data from our vehicles and ingest pipelines

  • datasets, scenarios and simulation for model training and testing

  • external labelling and cloud compute providers

• Report monthly progress against plan, plus data-quality and cost health. Use simple metrics, such as dataset turnaround time and cost per training cycle, to show whether delivery is improving.

• Find the friction, such as manual curation steps, unclear ownership or slow data turnaround, and drive fixes with the teams.

05What you need to succeed

• A career that started in engineering (a degree in computer science, software, data, electrical, robotics or similar) and have moved into delivery, with 2+ years as a TPM, project engineer or delivery manager on a technical product.

• Knowledge of the data and ML lifecycle: You know how data moves from collection through curation, labelling and dataset release to model training and evaluation, and why data quality and versioning matter. Hands-on experience in data engineering, machine learning or simulation is preferred but not essential.

• Data and cloud fluency: Enough to follow the engineering and ask good questions: data pipelines, cloud storage and compute, datasets and labelling, and simulation.

• You break down work, map dependencies and forecast from data (using tools like Jira, Confluence and Miro), and you build trust with engineers when priorities shift.

06Extra kudos if you have

• Experience in automotive, robotics or other autonomous systems.

• Experience with MLOps, data platforms or labelling operations.

• Exposure to simulation, synthetic data generation or digital twins.

• Experience tracking or optimising cloud spend.

• Comfort with Git-based planning, documentation-as-code, or AI tools for reporting.

07Your Interview Experience

Our interview process is designed to give you every chance to get the measure of us, and us of you. You will join three stages which will give you every opportunity to show your strengths and qualities, via scenario based questions and technical exercises.

08What We Offer

• Competitive salary benchmarked against the market

• Participation in a great company equity scheme

• Enhanced pension contributions

• Annual holiday allowance of 25 days per year

• Overseas working policy for up to 8 weeks per year

• Flexible, hybrid and remote working arrangements

• Comprehensive Private Health cover with the option to add family members,

• Enhanced health and wellbeing benefits including health cash plan, critical illness cover, life assurance and group income protection

• Enhanced paid maternity and paternity policy

If you're excited by deep technical problems, real-world AI, and the opportunity to build technology that will reshape global industry, you'll find both the challenge and the impact you're looking for at Oxa.

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