Lead AI Product Manager

🕒 June 8

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Zego

201 - 500 employees

Founded 2016

🚗 Transport

💰 $150M Series C on 2021-03

Insurance • Transport

Zego is a company that provides flexible motor insurance solutions for various types of drivers and riders, including private hire taxi drivers, delivery drivers, and courier users. Zego's insurance products cover vehicles such as cars, scooters, motorbikes, and vans, and are designed to accommodate both personal and business use. Using technology such as the Sense telematics app, Zego offers personalized and potentially cheaper insurance premiums for safe drivers. The company collaborates with major delivery and ride-sharing platforms like Uber, Deliveroo, Just Eat, and Amazon Flex to offer tailored insurance options for their drivers. Zego emphasizes customer satisfaction, providing easy-to-use services via their app, and is a trusted provider for thousands of UK and European drivers.

📋 Description

• Own strategic workstreams that span multiple teams and business domains • Define strategy for the 6-12 month horizon and shape product operating models and governance • Identify and validate new revenue opportunities from 0-to-1 propositions to upsell and retention loops • Embed rigorous experimentation (A/B testing, multivariate, rapid prototyping) into team culture • Develop reusable AI playbooks, workflows, and assets that multiply the team’s output • Design product metrics and dashboards used by the business for data-driven decision making • Own programmes that move core business metrics and be accountable for commercial outcomes • Partner with engineering, data science, design, marketing, legal, and compliance for strategy feasibility • Manage the product community of practice and instill a customer-first, experiment-first mindset • Present strategic recommendations and lead decision-making with the Leadership Team

🎯 Requirements

• Significant experience leading product strategy across multiple teams or domains • Deep, hands-on experience designing rigorous experiments and rapid prototypes • Deep understanding of unit economics, pricing levers, and revenue modelling • Built AI-enabled workflows, playbooks, or toolchains that made your team measurably faster • Proficient in gathering and using financial, behavioural, and usage data to make strategic decisions • Comfortable engaging with engineers on system architecture, APIs, ML pipelines, and service design • Outstanding communication and influence with Leadership Team • Proven track record of mentoring and developing PMs

🏖️ Benefits

• market-competitive salary • private medical insurance • company share options • generous holiday allowance • wellbeing benefits • annual flexible hybrid working contribution

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