Jobs at Zego (zego.com)

Lead Gibraltar-regulated insurer accounting and reporting: own NetSuite ledger, month/year-end close, statutory accounts (FRS102), Solvency II inputs, reserves reconciliation, controls, audits, cashflow and a small finance team while partnering with actuarial and Group Finance.

Source and engage engineering and data candidates for a six-month contract, building talent pipelines for software engineers, engineering managers, and full-stack professionals. Conduct initial candidate calls, document findings, partner with recruiters and hiring managers, use AI to improve sourcing efficiency, and track sourcing metrics. The role requires technical hiring expertise, startup or scale-up experience, strong communication, and proficiency with sourcing and recruiting tools.

Lead commercial pricing strategy for personal car products: design, launch, monitor and optimise pricing frameworks. Provide data-driven insights to senior leadership, guide market entries and propositions, mentor pricing team members, and raise pricing maturity across the organisation.

Lead pricing strategy and execution for Personal Car products, owning end-to-end pricing decisions, frameworks, launches, monitoring and optimisation. Provide data-driven commercial insight, influence senior leadership, mentor pricing team members, and scale pricing capabilities across UK and Europe while driving innovation and AI-first approaches.

Lead the product team at Zego, driving strategic direction and AI integration, managing cross-functional programmes, and mentoring PMs to enhance product impact.

As a Sales Executive, you'll engage with customers, assess their insurance needs, and provide support through calls, chat, and email while ensuring compliance with GDPR.

Lead full-cycle talent acquisition for Engineering and Product roles, partnering with function leaders to define hiring needs, source candidates proactively, manage interviews and selection, close key talent, and deliver strong candidate and hiring-manager experiences. Monitor recruitment metrics, build inclusive talent pipelines, and improve recruiting processes in a fast-paced startup or scale-up environment using AI-enabled tools.

Owns ambiguous, high-impact company problems across product, operations, finance, marketing, technology, and regulation. Responsibilities include scoping and delivering strategic initiatives, launching products, improving revenue lines, building AI systems and workflows, conducting decision-oriented analysis, and preparing company, investor, and Board communications. The role requires strong ownership, quantitative reasoning, communication, judgment, and hands-on AI fluency.

Manage end-to-end talent acquisition for Engineering and Product teams, partnering with leaders to define hiring needs, source candidates proactively, lead interviews and selection, close key talent, and deliver an excellent candidate and hiring-manager experience. The role also owns recruitment metrics, builds diverse talent pipelines, and improves recruiting processes in a fast-paced startup or scale-up environment.

Provide phone, email and live chat support for customers, handle sales and support enquiries, maintain positive rapport, log customer data in an in-house system, and build product knowledge to ensure high customer satisfaction.

Design, build, and operate scalable, secure data pipelines, warehouses, and streaming systems. Collaborate with Engineering, Data Science, Analytics, and Product to model data, evolve platform architecture, optimize tools, and support delivery while mentoring junior engineers and promoting best practices (CI/CD, testing, observability, IaC).

The Senior iOS Engineer will develop and enhance iOS applications and a Mobile SDK, ensuring a premier user experience while mentoring peers and setting technical direction.

Lead and mentor engineering teams, design and build Python microservices, ensure system resilience and scalability, and improve CI/CD processes.

The role involves developing, testing, and deploying Python microservices, solving complex technical problems, and contributing to architectural decisions. Engineers will work with a product team and ensure code quality through reviews and testing, while continuously learning and improving practices.

As a Backend Engineer, you will build and maintain backend services, write maintainable code, review peers' work, and learn from experienced engineers while leveraging AI tools.

Build, maintain and improve scalable ETL/ELT pipelines, data warehouses and streaming systems. Ensure data modelling meets analytics and data science needs, uphold data engineering best practices (testing, CI/CD, observability, IaC), and collaborate across teams to deliver the technical roadmap and platform improvements.

Lead and grow the telematics data science team, define technical roadmap, and develop novel ML and signal-processing models (on-device and cloud) to predict driving behaviour, crashes, and risk. Integrate telematics with pricing and products, measure real-world model impact, ensure fairness in pricing, and represent telematics science to senior leadership and partners.

Design and build reliable data models and exposures using dbt and Snowflake, leveraging AI-assisted workflows. Own data quality, tests, contracts, and observability. Integrate third-party sources, create secure data shares, enable stakeholders with self-service BI, and continuously improve platform tooling and AI-driven processes.

Lead one or two engineering teams, ensuring operational excellence, influencing architecture, mentoring engineers, and collaborating with cross-functional teams to support company growth.

Lead development of behavioural features and detection algorithms from hypothesis to production using high-frequency GPS and inertial sensor data. Prototype, build scalable Python and SQL pipelines, evaluate ML and rule-based models, run experiments, and collaborate with engineering, product, and actuarial teams to integrate features into pricing and measure impact.