Lead AI Product Manager - Telematics

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

Benefits offered by this job

Market-competitive salary

Hybrid work model

Job summary

Zego is seeking a Lead AI Product Manager to own Telematics, shaping the SDKs, data processing, trips, events and scores that power pricing, risk management and claims. You will define the 6–12 month direction, balance build-vs-buy-vs-partner decisions on sensors and models, and mentor product managers across the organisation.

You will work closely with Data Science, Pricing, Claims and leadership to foster an experimentation-first culture, and to translate driving data into P&L impact while

Qualifications

• Strategic product leadership across multiple teams or domains.
• Experience building ML/AI or sensor data products.
• Ability to translate data into business decisions.

Responsibilities

• Define 6–12 month Telematics strategy across SDKs, data processing and risk management.
• Own data quality and scoring model governance with Data Science.
• Lead risk management, pricing adjustments and policy interventions with business impact.
• Drive cross-functional collaboration with Pricing, Underwriting and Claims.

Skills

Strategic leadership

ML/AI product

Data pipelines

Pricing & risk

Experimentation

AI-first mindset

Technical fluency

Tools

Snowflake

Job description

About Zego

At Zego, we're on a mission to do the good thing, not the insurance thing.

Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.

We're not just updating insurance; We're leading the AI evolution in insurance.

For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook.

We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers.

Do not take our word for it. Read what Zegons say about us on Glassdoor.

If you're ready to build the future of insurance, we're hiring.

About the Role

We are looking for a Lead AI Product Manager to own Telematics at Zego. Our proprietary telematics is how we understand the way people actually drive, and the ratings it produces shape pricing, risk management and claims across our whole book.

You'll own the telematics stack as a product: the SDKs that capture driving data, the processing that turns it into trips, events and scores, and the Risk Management capabilities that act on them. You'll set the 6-12 month direction across these teams and make the build-vs-buy-vs-partner calls on sensors, data sources and models.

You’ll work closely with Data Science, Pricing, Claims and Zego's Leadership Team, champion an experiment-first culture, and mentor Product Managers across the organisation.

What You'll Be Doing

• Set the six-to-12-month Telematics strategy across the SDKs, data processing and Risk Management, including the build, buy or partner calls on sensors, data and models.
• Own data quality at the source, setting the standards for trip recording, location accuracy, battery impact and stability that every score depends on.
• Own the product side of our scoring models with Data Science, so the score is accurate, explainable and safe to change on a live book.
• Lead Risk Management, defining how we act on driving behaviour - from price adjustments to interventions and cancellations - balancing loss ratio with fair customer outcomes.
• Turn driving data into P&L impact with Pricing, Underwriting, Claims and Fraud, through sharper risk selection, fairer prices and better fraud detection.
• Embed rigorous experimentation as the default operating rhythm, even when changes touch price and live policies.
• Build reusable AI playbooks, workflows and assets that multiply the whole team's output, from trip-data analysis to automated data and model monitoring.
• Coach Product Managers across the organisation, raising the bar for product craft and data capability.

What You'll Need to Be Successful

• Strategic product leadership. Significant experience leading product strategy across multiple teams or domains in a high-growth environment, with decisions that moved business-level metrics.
• Data, sensor or ML products. You've built products on behavioural, location or sensor data - ideally telematics, mobility or IoT - and understand how signals become models, and models become decisions.
• Technical depth. Comfortable engaging engineers on mobile SDKs, data pipelines and ML pipelines, enough to make informed strategic bets.
• Commercial and risk fluency. Deep understanding of pricing levers, risk modelling and loss ratios, and credible with Actuarial, Finance and Leadership.
• Data mastery. You are as comfortable in Snowflake as you are in a strategy review, and you can interrogate model performance, not just read a dashboard.
• Experiment-first operator. You have built experiment cultures, not just run individual tests.
• You work AI-first. You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable.

The Zego ways of working

Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it.

We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year.

Here is what the last one looked like.

Benefits

• Market-competitive salary, benchmarked against your function and reviewed every year.
• Annual performance b