About The Position
Zego is seeking a Lead AI Product Manager to own Telematics as a product. The role covers the proprietary telematics stack, from SDKs that capture driving data through processing that produces trips, events and scores, to Risk Management capabilities that act on those outputs. The successful candidate will set the six-to-12-month direction across these areas and decide whether to build, buy or partner for sensors, data sources and models. The role works closely with Data Science, Pricing, Claims, Underwriting, Fraud and Zego’s Leadership Team. It combines strategic product leadership, technical and data fluency, commercial and risk judgement, and an experiment-first approach. The Lead AI Product Manager will also build reusable AI playbooks and workflows and mentor Product Managers across the organisation. The position is based remotely in Portugal, with quarterly visits to the London office. Compensation is €75,000–€90,000 base salary, plus bonus, share options and benefits.
Requirements
- Significant experience leading product strategy across multiple teams or domains in a high-growth environment, with decisions that moved business-level metrics.
- Experience building products based on behavioural, location or sensor data; telematics, mobility or IoT experience is described as ideal.
- Understanding of how signals become models and how models become decisions.
- Technical depth sufficient to engage engineers on mobile SDKs, data pipelines and ML pipelines and make informed strategic bets.
- Deep understanding of pricing levers, risk modelling and loss ratios, and credibility with Actuarial, Finance and Leadership.
- Comfort using Snowflake and interrogating model performance, rather than relying only on dashboards.
- Experience building experimentation cultures, not only running individual tests.
- Willingness to use AI daily, experiment quickly and take ownership of learning; prior expertise is not required.
Nice To Haves
- Experience with telematics, mobility or IoT products.
Responsibilities
- Set the six-to-12-month Telematics strategy across SDKs, data processing and Risk Management, including build, buy or partner decisions on sensors, data and models.
- Own data quality at the source by setting standards for trip recording, location accuracy, battery impact and stability.
- Own the product side of scoring models with Data Science, ensuring scores are accurate, explainable and safe to change on a live book.
- Lead Risk Management by defining responses to driving behaviour, including price adjustments, interventions and cancellations, while balancing loss ratio and fair customer outcomes.
- Work with Pricing, Underwriting, Claims and Fraud to turn driving data into business impact through improved risk selection, fairer prices and better fraud detection.
- Make rigorous experimentation the default operating rhythm, including for changes that affect pricing and live policies.
- Build reusable AI playbooks, workflows and assets, including trip-data analysis and automated data and model monitoring.
- Coach Product Managers across the organisation and raise product craft and data capability.
Benefits
- Annual performance bonus linked to company performance and individual contribution.
- Share options.
- Private medical insurance.
- Pension.
- Generous holiday.
- £1,000 per year to spend on commuting to the office or learning something new.
- Cutting-edge systems and tools.
- Market-competitive salary benchmarked against the function and reviewed annually.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
