Description
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.
Responsibilities:
- 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.
Requirements:
- 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.
Compensation:
- €75K – €90K base salary
- Bonus
- Share Options
- Benefits, including private medical insurance, pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.