{"data":{"company":{"name":"Zego","slug":"zego","logo_url":"https://logos.yubhub.co/glassdoor.co.uk.png","canonical_domain":"glassdoor.co.uk","editorial":null,"wikidata_id":null,"founded":null,"ceo":null,"founders":[],"hq_location":null,"industry":null,"employee_count":null,"official_website":null,"wikipedia_url":null,"stock_ticker":null,"stock_price":null,"market_cap":null,"revenue":null,"ipo_date":null,"sector":null,"full_time_employees":null,"company_description":null,"twitter_username":null,"linkedin_id":null,"instagram_username":null,"facebook_id":null,"parent_org":null,"country":null,"github_org":null,"github_public_repos":null,"github_followers":null,"github_verified":0,"github_description":null,"github_location":null,"github_blog":null,"github_twitter":null,"stock_exchange":null,"stock_beta":null,"stock_range":null,"stock_is_actively_trading":null,"fmp_image":null,"fmp_address":null,"fmp_city":null,"fmp_state":null,"fmp_country":null,"recent_news":[],"search_interest_index":null,"search_interest_trend":null,"wikipedia_monthly_views":null,"hn_mention_count":null,"hn_top_stories":[],"wayback_first_year":null,"sec_incorporation_state":null,"sec_latest_filing_type":null,"sec_latest_filing_date":null,"sec_filings":[],"research_papers_count":null,"research_citations_count":null,"research_h_index":null,"research_topics":[],"is_federal_contractor":null,"earnings_calendar":[],"industry_canonical":null,"enrichment_sources":[],"last_enriched_at":null},"hiring":{"total_jobs":33,"categories":[{"category":"engineering","count":12},{"category":"product management","count":10},{"category":"data science","count":4},{"category":"insurance","count":3},{"category":"sales","count":1},{"category":"operations","count":1},{"category":"human resources","count":1},{"category":"customer service","count":1}],"experience_levels":[{"level":"senior","count":30},{"level":"mid","count":1}],"work_arrangements":[{"arrangement":"hybrid","count":28},{"arrangement":"remote","count":5}],"top_titles":[{"title":"Technical Claims Manager","count":1},{"title":"Special Projects Manager","count":1},{"title":"Senior Software Engineer - Portugal","count":1},{"title":"Senior Software Engineer","count":1},{"title":"Senior Fraud Investigator","count":1},{"title":"Senior Data Engineer, Portugal","count":1},{"title":"Senior Data Engineer","count":1},{"title":"Senior Business Intelligence Analyst","count":1},{"title":"Senior AI Product Manager – Growth, Portugal","count":1},{"title":"Senior AI Product Manager – Growth","count":1},{"title":"Senior AI Product Manager - Platform, Portugal","count":1},{"title":"Senior AI Product Manager - Platform","count":1},{"title":"Senior AI Product Manager - Mobile Experience, Portugal","count":1},{"title":"Senior AI Product Manager - Mobile Experience","count":1},{"title":"Sales Executive","count":1}],"locations":[{"location":"london","count":20},{"location":"portugal","count":10},{"location":"halifax","count":2},{"location":"halifax; london","count":1}],"skills":[{"skill":"Artificial Intelligence","required":17,"preferred":0,"total":17},{"skill":"Python","required":14,"preferred":0,"total":14},{"skill":"Snowflake","required":9,"preferred":4,"total":13},{"skill":"SQL","required":12,"preferred":0,"total":12},{"skill":"Kubernetes","required":1,"preferred":7,"total":8},{"skill":"Docker","required":5,"preferred":3,"total":8},{"skill":"dbt","required":6,"preferred":1,"total":7},{"skill":"Data Analysis","required":7,"preferred":0,"total":7},{"skill":"Product Management","required":7,"preferred":0,"total":7},{"skill":"Apache Iceberg","required":6,"preferred":0,"total":6},{"skill":"AWS S3","required":6,"preferred":0,"total":6},{"skill":"PostgresDB","required":6,"preferred":0,"total":6},{"skill":"Apache Airflow","required":6,"preferred":0,"total":6},{"skill":"Apache Spark","required":6,"preferred":0,"total":6},{"skill":"ML Engineering Pipelines","required":0,"preferred":6,"total":6},{"skill":"MLOps Frameworks","required":0,"preferred":6,"total":6},{"skill":"Experimentation","required":6,"preferred":0,"total":6},{"skill":"Technical Literacy","required":6,"preferred":0,"total":6},{"skill":"Looker","required":1,"preferred":4,"total":5},{"skill":"Terraform","required":5,"preferred":0,"total":5}],"salary_stats":{"count":10,"min":42500,"q1":62500,"median":65000,"q3":82500,"max":90000},"job_types":[{"type":"full-time","count":33}],"latest_jobs":[{"id":"job_bd763e22-41e","title":"Senior Data Engineer, Portugal","source_url":"https://jobs.ashbyhq.com/zego/b720121b-f1be-4a5e-91c9-f9597544d93b","location":"Portugal","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>We are looking for a Senior Data Engineer to be a key technical contributor within our data engineering function, helping to build and evolve our data platform to meet Zego&#39;s ambitious growth.</p>\n<p>This is a hands-on technical role, you&#39;ll design and build scalable, resilient, and secure data systems, while supporting the wider team through knowledge sharing and collaboration. You&#39;ll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable.</p>\n<p>While this role doesn&#39;t involve line management, you&#39;ll be expected to contribute to technical excellence within the team by sharing knowledge, reviewing code, and supporting less experienced engineers.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Act as a strong technical contributor within the Data Engineering team.</li>\n<li>Support and help less experienced engineers grow through pairing, code review, and knowledge sharing.</li>\n<li>Promote best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.</li>\n<li>Design, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.</li>\n<li>Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.</li>\n<li>Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs.</li>\n<li>Partner with teams across the business to understand requirements and translate them into robust technical solutions.</li>\n<li>Identify opportunities for optimisation, re-architecture, or tool improvements.</li>\n<li>Contribute to the delivery of the technical roadmap for data engineering.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>4+ years as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments.</li>\n<li>Solid experience designing, building, and operating ETL/ELT pipelines and large-scale data architectures.</li>\n<li>Hands-on experience with modern data stacks , our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform.</li>\n<li>Ability to work effectively with cross-functional stakeholders, translating technical concepts into business value.</li>\n<li>Experience supporting other engineers through code reviews, pairing, and knowledge sharing.</li>\n<li>Pragmatic approach to balancing technical excellence with delivery needs.</li>\n<li>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.</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience building Data Mesh or Lakehouse architectures.</li>\n<li>Familiarity with Kubernetes, Docker, and real-time streaming technologies.</li>\n<li>Exposure to ML engineering pipelines or MLOps frameworks.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Market-competitive salary, benchmarked against your function and reviewed every year.</li>\n<li>Annual performance bonus, linked to company performance and your contribution.</li>\n<li>Share options, a real stake in the company and a share in the future you build.</li>\n<li>Private medical insurance.</li>\n<li>Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n<li>Cutting-edge systems and tools, so you always have what you need to drive your impact.</li>\n</ul>","enriched_at":1793458882859},{"id":"job_dab00dc2-101","title":"Senior Data Engineer","source_url":"https://jobs.ashbyhq.com/zego/ac27b793-d176-4657-95b6-5bc9938616c8","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Engineering","description":"<p>At Zego, we&#39;re on a mission to do the good thing, not the insurance thing.</p>\n<p>We&#39;re looking for a Senior Data Engineer to be a key technical contributor within our data engineering function, helping to build and evolve our data platform to meet Zego&#39;s ambitious growth.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Act as a strong technical contributor within the Data Engineering team.</li>\n<li>Support and help less experienced engineers grow through pairing, code review, and knowledge sharing.</li>\n<li>Promote best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.</li>\n<li>Design, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.</li>\n<li>Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.</li>\n<li>Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs.</li>\n<li>Partner with teams across the business to understand requirements and translate them into robust technical solutions.</li>\n<li>Identify opportunities for optimisation, re-architecture, or tool improvements.</li>\n<li>Contribute to the delivery of the technical roadmap for data engineering.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>4+ years as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments.</li>\n<li>Solid experience designing, building, and operating ETL/ELT pipelines and large-scale data architectures.</li>\n<li>Hands-on experience with modern data stacks , our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform.</li>\n<li>Ability to work effectively with cross-functional stakeholders, translating technical concepts into business value.</li>\n<li>Experience supporting other engineers through code reviews, pairing, and knowledge sharing.</li>\n<li>Pragmatic approach to balancing technical excellence with delivery needs.</li>\n<li>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.</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience building Data Mesh or Lakehouse architectures.</li>\n<li>Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).</li>\n<li>Exposure to ML engineering pipelines or MLOps frameworks.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Market-competitive salary, benchmarked against your function and reviewed every year.</li>\n<li>Annual performance bonus, linked to company performance and your contribution.</li>\n<li>Share options, a real stake in the company and a share in the future you build.</li>\n<li>Private medical insurance.</li>\n<li>Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n<li>Cutting-edge systems and tools, so you always have what you need to drive your impact.</li>\n</ul>","enriched_at":1793458641405},{"id":"job_47f62ad6-986","title":"Senior AI Product Manager – Growth","source_url":"https://jobs.ashbyhq.com/zego/9f69d3ed-ecf4-4683-830e-b2b48777c21d","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Product Management","description":"<p>We are looking for a Senior AI Product Manager to join Growth at Zego. Growth is how more good drivers find us, choose us and stay with us, and it is one of the biggest levers on our commercial performance.</p>\n<p>You’ll own a growth domain, defining its quarterly strategy and goals and helping shape the longer-term growth strategy. You’ll find the levers that matter most and run a high-velocity programme of experiments to pull them - aiming for growth that is profitable, not just big.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Define your domain’s quarterly strategy and goals, and help refine the longer-term growth strategy.</li>\n<li>Find the biggest growth levers, diagnosing where customers drop off, hesitate or leave, and sizing each opportunity.</li>\n<li>Run a high-velocity experimentation engine, with a prioritised backlog of tests and guardrails on customer sentiment and risk quality.</li>\n<li>Design journeys and loops that compound, from first touch to purchase, renewal and referral.</li>\n<li>Shape the commercial levers with Pricing and Marketing, from propositions and packaging to channel strategy.</li>\n<li>Drive profitable growth, with business cases and domain metrics grounded in unit economics, not just volume.</li>\n<li>Establish AI-enabled workflows for your domain, from generating test variants to automated funnel analysis.</li>\n<li>Bring stakeholders along, running ceremonies with senior stakeholders, facilitating big-room planning and knowing when to escalate.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Growth product ownership. A track record of leading consumer growth - acquisition, conversion, retention or monetisation - in a high-growth environment.</li>\n<li>Experimentation at velocity. Hands-on experience running high-volume A/B testing programmes, with a solid grasp of experiment design and statistics.</li>\n<li>Funnel expertise. You know how to diagnose a funnel, prioritise the biggest drop-offs and fix them end to end.</li>\n<li>Data and commercial fluency. Comfortable in Amplitude, Looker or Snowflake, and you know the difference between growth and profitable growth.</li>\n<li>Technical literacy. Confident with engineers on architecture, APIs and service design. Ideally, you come from engineering or data science.</li>\n<li>Regulated environment. Ideally, experience in insurance, fintech or other regulated consumer products.</li>\n<li>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.</li>\n</ul>\n<p>Benefits:</p>\n<ul>\n<li>Market-competitive salary, benchmarked against your function and reviewed every year.</li>\n<li>Annual performance bonus, linked to company performance and your contribution.</li>\n<li>Share options, a real stake in the company and a share in the future you build</li>\n<li>Private medical insurance.</li>\n<li>Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n<li>Cutting-edge systems and tools, so you always have what you need to drive your impact.</li>\n</ul>","enriched_at":1793458500381},{"id":"job_feecc763-dfd","title":"Employee Relations Advisor","source_url":"https://jobs.ashbyhq.com/zego/03331446-3f60-4a97-9fd7-25cb96e64423","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Human Resources","description":"<h3>About the role</h3>\n<p>We&#39;re looking for an Employee Relations Advisor to own day-to-day employee relations across Zego, acting as a first point of contact for managers on people issues. Many of those managers lead our customer-facing operations teams, such as customer service and claims, where the pace and volume of work are much like a contact centre.</p>\n<p>You&#39;ll work alongside two Senior People Partners and report to the Director of People. You&#39;ll run cases from start to finish: probation, occupational health referrals, absence, disciplinaries, flexible working requests and the rest of a busy ER caseload.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Managing your own caseload of ER matters, including disciplinaries, grievances, capability and absence, from investigation through to outcome</li>\n<li>Running probation processes so reviews happen on time and managers act early</li>\n<li>Managing occupational health referrals, interpreting reports and advising managers on reasonable adjustments and next steps</li>\n<li>Handling flexible working and other statutory requests within the legal timeframes</li>\n<li>Advising managers who chair hearings and supporting them through the process</li>\n<li>Giving managers and employees clear, practical answers on our policies and on employment law</li>\n<li>Spotting patterns in absence, attrition and case data, and raising them with the relevant Senior People Partner.</li>\n<li>Escalating complex, high-risk or sensitive cases with a clear summary and recommendation</li>\n<li>Keeping case records and HRIS data accurate and compliant</li>\n<li>Contributing to wider People initiatives such as policy updates and manager training</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Experience as an HR or People Advisor with a substantial ER caseload, ideally in a tech contact centre or another high-volume operational environment</li>\n<li>Confidence running disciplinary, grievance, absence and capability processes independently, including investigations</li>\n<li>Practical, up-to-date knowledge of UK employment law and how recent reforms affect day-to-day ER</li>\n<li>Experience managing occupational health referrals and advising on reasonable adjustments</li>\n<li>Good judgement on when to handle something yourself and when to escalate</li>\n<li>The confidence to challenge managers when their preferred route carries risk, and to explain why</li>\n<li>Strong organisation, so you can carry a high volume of cases without deadlines slipping</li>\n<li>Clear written skills for investigation reports, outcome letters and case notes</li>\n<li>Discretion with confidential and sensitive information</li>\n<li>Evidential use of AI in your role to automate routine tasks</li>\n<li>CIPD Level 5 or above, or equivalent experience</li>\n</ul>\n<h3>Benefits</h3>\n<ul>\n<li>Market-competitive salary, benchmarked against your function and reviewed every year.</li>\n<li>Annual performance bonus, linked to company performance and your contribution.</li>\n<li>Share options, a real stake in the company and a share in the future you build</li>\n<li>Private medical insurance.</li>\n<li>Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n<li>Cutting-edge systems and tools, so you always have what you need to drive your impact.</li>\n</ul>","enriched_at":1793458399875},{"id":"job_8f76ca7a-93a","title":"Senior AI Product Manager - Platform, Portugal","source_url":"https://jobs.ashbyhq.com/zego/fa54b7a5-7b61-4092-8048-b03e7c3c65ab","location":"Portugal","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Product Management","description":"<p>We are looking for a Senior AI Product Manager to join our Platform team at Zego. The Platform team powers every customer journey at Zego, including quoting, buying, paying for, changing, renewing, and cancelling a policy.</p>\n<p>You’ll own a product domain within Platform, defining its quarterly strategy and goals and helping refine the longer-term platform strategy as we rebuild and modernise some of Zego’s most critical services. You’ll turn technical challenges into business value, and make sure your services are resilient, compliant, and ready to be used by AI agents as well as our apps.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Define your domain’s quarterly strategy and goals, and help refine the longer-term plans for Platform, balancing new capability, legacy rebuilds, and reliability.</li>\n<li>Lead complex discovery autonomously as we modernise the policy lifecycle, moving capability off legacy systems one safe slice at a time.</li>\n<li>Dive deep into technical detail, understanding dependencies and failure modes, and making informed trade-offs with engineering.</li>\n<li>Treat internal teams as your customers, so launching a new product, price, or journey on the platform is fast and predictable.</li>\n<li>Make your services AI-ready, with clean, well-documented APIs and data that agents and automations can use safely, and establish AI-enabled workflows for your domain.</li>\n<li>Put the right metrics in place, from reliability and incidents to time-to-launch and cost to serve, and build the business case for platform investment.</li>\n<li>Build compliance in from day one with Legal, Compliance, and Finance, so money flows and customer communications are accurate and auditable.</li>\n<li>Bring stakeholders along, running ceremonies with senior stakeholders, facilitating big-room planning, and knowing when to escalate.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Platform product ownership: a track record of owning a technical, platform, or backend product domain and delivering material business impact in a high-growth environment.</li>\n<li>Technical literacy: confident with engineers on system architecture, APIs, event-driven services, and workflow orchestration. Ideally, you come from engineering or data science.</li>\n<li>Legacy modernisation: you’ve led incremental rebuilds of business-critical services while keeping the lights on.</li>\n<li>Data and commercial fluency: you use financial, behavioural, and usage data to ground decisions, query Snowflake or Looker yourself, and can build the case for platform investment.</li>\n<li>Clarity in complexity: you untangle dependencies across multiple business domains and explain technical trade-offs to non-technical stakeholders.</li>\n<li>Regulated environment: ideally, experience in insurance, payments, lending, or financial services, with compliance built into product design.</li>\n<li>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.</li>\n</ul>\n<p><strong>Compensation:</strong></p>\n<ul>\n<li>€50K – €75K base salary</li>\n<li>Bonus</li>\n<li>Share options</li>\n<li>Benefits, including private medical insurance, pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new</li>\n</ul>\n<p><strong>About Zego:</strong></p>\n<p>At Zego, we&#39;re on a mission to do the good thing, not the insurance thing. Insurance hasn&#39;t changed much in over a century. The way we live, work, and travel has. We&#39;re building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.</p>","enriched_at":1793458357369},{"id":"job_14e97ff8-e0d","title":"Lead AI Product Manager - Telematics, Portugal","source_url":"https://jobs.ashbyhq.com/zego/1cd0488c-52e3-4bba-8c32-0c30b89ae741","location":"Portugal","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Product Management","description":"<p>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.</p>\n<p>You&#39;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&#39;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.</p>\n<p>You&#39;ll work closely with Data Science, Pricing, Claims and Zego&#39;s Leadership Team, champion an experiment-first culture, and mentor Product Managers across the organisation.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>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.</li>\n<li>Own data quality at the source, setting the standards for trip recording, location accuracy, battery impact and stability that every score depends on.</li>\n<li>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.</li>\n<li>Lead Risk Management, defining how we act on driving behaviour - from price adjustments to interventions and cancellations - balancing loss ratio with fair customer outcomes.</li>\n<li>Turn driving data into P&amp;L impact with Pricing, Underwriting, Claims and Fraud, through sharper risk selection, fairer prices and better fraud detection.</li>\n<li>Embed rigorous experimentation as the default operating rhythm, even when changes touch price and live policies.</li>\n<li>Build reusable AI playbooks, workflows and assets that multiply the whole team&#39;s output, from trip-data analysis to automated data and model monitoring.</li>\n<li>Coach Product Managers across the organisation, raising the bar for product craft and data capability.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>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.</li>\n<li>Data, sensor or ML products. You&#39;ve built products on behavioural, location or sensor data - ideally telematics, mobility or IoT - and understand how signals become models, and models become decisions.</li>\n<li>Technical depth. Comfortable engaging engineers on mobile SDKs, data pipelines and ML pipelines, enough to make informed strategic bets.</li>\n<li>Commercial and risk fluency. Deep understanding of pricing levers, risk modelling and loss ratios, and credible with Actuarial, Finance and Leadership.</li>\n<li>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.</li>\n<li>Experiment-first operator. You have built experiment cultures, not just run individual tests.</li>\n<li>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.</li>\n</ul>\n<p><strong>Compensation:</strong></p>\n<ul>\n<li>€75K – €90K base salary</li>\n<li>Bonus</li>\n<li>Share Options</li>\n<li>Benefits, including private medical insurance, pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n</ul>","enriched_at":1793458299185},{"id":"job_acd09d94-3e7","title":"Senior AI Product Manager - Platform","source_url":"https://jobs.ashbyhq.com/zego/5926b2d0-a70e-4e28-b225-d11ad2c567fd","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Product Management","description":"<h3>About Zego</h3>\n<p>At Zego, we&#39;re on a mission to do the good thing, not the insurance thing.</p>\n<p>Insurance hasn&#39;t changed much in over a century. The way we live, work and travel has. We&#39;re building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.</p>\n<p><strong>We&#39;re not just updating insurance; We&#39;re leading the AI evolution in insurance</strong></p>\n<p>For us, AI isn&#39;t a line on a roadmap or a buzzword on a slide. It&#39;s our operating reality, and it&#39;s how we build products that back drivers instead of the old insurance playbook.</p>\n<p>We don&#39;t do things slowly, and we don&#39;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&#39;ll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers.</p>\n<h3>About the Role</h3>\n<p>We are looking for a Senior AI Product Manager to join our Platform team. Platform powers every customer journey at Zego: the core services behind quoting, buying, paying for, changing, renewing and cancelling a policy.</p>\n<p>You&#39;ll own a product domain within Platform, defining its quarterly strategy and goals and helping refine the longer-term platform strategy as we rebuild and modernise some of Zego&#39;s most critical services. You&#39;ll turn technical challenges into business value, and make sure your services are resilient, compliant and ready to be used by AI agents as well as our apps.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Define your domain&#39;s quarterly strategy and goals, and help refine the longer-term plans for Platform, balancing new capability, legacy rebuilds and reliability.</li>\n<li>Lead complex discovery autonomously as we modernise the policy lifecycle, moving capability off legacy systems one safe slice at a time.</li>\n<li>Dive deep into technical detail, understanding dependencies and failure modes, and making informed trade-offs with engineering.</li>\n<li>Treat internal teams as your customers, so launching a new product, price or journey on the platform is fast and predictable.</li>\n<li>Make your services AI-ready, with clean, well-documented APIs and data that agents and automations can use safely, and establish AI-enabled workflows for your domain.</li>\n<li>Put the right metrics in place, from reliability and incidents to time-to-launch and cost to serve, and build the business case for platform investment.</li>\n<li>Build compliance in from day one with Legal, Compliance and Finance, so money flows and customer communications are accurate and auditable.</li>\n<li>Bring stakeholders along, running ceremonies with senior stakeholders, facilitating big-room planning and knowing when to escalate.</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Platform product ownership. A track record of owning a technical, platform or backend product domain and delivering material business impact in a high-growth environment.</li>\n<li>Technical literacy. Confident with engineers on system architecture, APIs, event-driven services and workflow orchestration. Ideally, you come from engineering or data science.</li>\n<li>Legacy modernisation. You&#39;ve led incremental rebuilds of business-critical services while keeping the lights on.</li>\n<li>Data and commercial fluency. You use financial, behavioural and usage data to ground decisions, query Snowflake or Looker yourself, and can build the case for platform investment.</li>\n<li>Clarity in complexity. You untangle dependencies across multiple business domains and explain technical trade-offs to non-technical stakeholders.</li>\n<li>Regulated environment. Ideally, experience in insurance, payments, lending or financial services, with compliance built into product design.</li>\n<li>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.</li>\n</ul>\n<h3>Benefits</h3>\n<ul>\n<li>Market-competitive salary, benchmarked against your function and reviewed every year.</li>\n<li>Annual performance bonus, linked to company performance and your contribution.</li>\n<li>Share options, a real stake in the company and a share in the future you build</li>\n<li>Private medical insurance.</li>\n<li>Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n<li>Cutting-edge systems and tools, so you always have what you need to drive your impact.</li>\n</ul>","enriched_at":1793458158700},{"id":"job_c9fe73c1-818","title":"Lead AI Product Manager - Product Vertical, Portugal","source_url":"https://jobs.ashbyhq.com/zego/464ab4bb-69bf-4add-b5b5-60cd1b8957d4","location":"Portugal","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Product Management","description":"<p>We are looking for a Lead Product Manager who combines strategic depth with a hands-on builder&#39;s instinct. You&#39;ll own strategic workstreams that span multiple teams and business domains, defining the 6-12 month product direction and shaping how Zego&#39;s products evolve to meet ambitious commercial targets.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Set the six-to-12-month product strategy across multiple teams and domains, including the build, buy or partner calls that shape Zego&#39;s competitive position.</li>\n<li>Define and validate new revenue mechanics, from 0 to 1 propositions to upsell and retention loops, grounded in unit economics and customer insight rather than gut feel.</li>\n<li>Embed rigorous experimentation as the default operating rhythm, so rate of learning replaces opinion as the leading metric.</li>\n<li>Build reusable AI playbooks, workflows and assets that multiply the whole team&#39;s output, not just your own.</li>\n<li>Design the product metrics and dashboards the business runs on, and use financial, behavioural and usage data to ground every strategic decision.</li>\n<li>Own company-level programmes with direct P&amp;L impact, accountable for commercial outcomes rather than feature delivery.</li>\n<li>Coach Product Managers across the organisation, raising the bar for product craft and data capability.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>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.</li>\n<li>Experiment-first operator. You have built experiment cultures, not just run individual tests, and you make build, measure, learn the default rhythm for your teams.</li>\n<li>Commercial and financial fluency. Deep understanding of unit economics, pricing levers and revenue modelling, and credible with Finance and Leadership on P&amp;L-level decisions.</li>\n<li>Data mastery. You design the metrics and dashboards the business relies on, and you are as comfortable in Snowflake as you are in a strategy review.</li>\n<li>Technical depth. Comfortable engaging engineers on system architecture, APIs and ML pipelines, enough to make informed strategic bets.</li>\n<li>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.</li>\n</ul>\n<p><strong>Benefits:</strong></p>\n<ul>\n<li>Market-competitive salary, benchmarked against your function and reviewed every year.</li>\n<li>Annual performance bonus, linked to company performance and your contribution.</li>\n<li>Share options, a real stake in the company and a share in the future you build.</li>\n<li>Private medical insurance.</li>\n<li>Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n<li>Cutting-edge systems and tools, so you always have what you need to drive your impact.</li>\n</ul>","enriched_at":1793458125825},{"id":"job_807bce4a-ea0","title":"Lead Data Scientist","source_url":"https://jobs.ashbyhq.com/zego/36da5571-ec50-4bb0-837a-883870472a74","location":"London","job_type":"full-time","experience_level":"senior","work_arrangement":"hybrid","category":"Data Science","description":"<h3>About Zego</h3>\n<p>At Zego, we&#39;re on a mission to do the good thing, not the insurance thing.</p>\n<p>Insurance hasn&#39;t changed much in over a century. The way we live, work and travel has. We&#39;re building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.</p>\n<h3>The team</h3>\n<p>The Telematics team turns raw phone sensor data into meaningful signals about how people drive. Using signal processing and machine learning on high-frequency GPS, accelerometer, and gyroscope data, we extract the behavioural features that power Zego&#39;s understanding of driving quality, context, and risk.</p>\n<h3>The role</h3>\n<p>Few teams use phone sensor data to price commercial motor insurance at scale. As a Lead Data Scientist, you&#39;ll shape how millions of trips are turned into risk signals. You&#39;ll own behavioural features and algorithms from hypothesis to production, working at the intersection of data science and engineering on GPS, inertial, and other sensor data.</p>\n<h3>Responsibilities</h3>\n<ul>\n<li>Design and build the behavioural features and factors that drive Zego&#39;s understanding of driving quality, context and risk</li>\n</ul>\n<ul>\n<li>Turn raw, high-frequency GPS, accelerometer and gyroscope data into usable signal at a scale of more than 250,000 trips a day</li>\n</ul>\n<ul>\n<li>Research new behavioural features and detection algorithms, reading the literature, testing ideas and killing the ones that do not survive contact with real data</li>\n</ul>\n<ul>\n<li>Take work from hypothesis to production, prototyping in notebooks then writing the production-grade Python and SQL that scales</li>\n</ul>\n<ul>\n<li>Choose the simplest solution that holds, rule-based when that is enough and machine learning when it is warranted</li>\n</ul>\n<ul>\n<li>Lead experiments, validate impact with data, and automate insight generation</li>\n</ul>\n<ul>\n<li>Get features into the pricing path alongside engineers, product managers and actuaries, and translate what the sensor data shows into findings non-technical colleagues can act on</li>\n</ul>\n<h3>Requirements</h3>\n<ul>\n<li>Quantitative foundations. An MSc, or integrated MEng or MSc, in engineering, computer science, physics, mathematics or a similar field.</li>\n</ul>\n<ul>\n<li>Signal processing instinct. Working knowledge of digital signal processing or sensor physics.</li>\n</ul>\n<ul>\n<li>Production-grade delivery. A proven track record taking data science or data engineering projects into production, with strong Python and SQL (we use Snowflake) and the scientific Python stack: Polars, Pandas, NumPy, SciPy and scikit-learn.</li>\n</ul>\n<ul>\n<li>Machine learning judgement. Experience developing and evaluating ML models on tabular data, classification or regression, where the evaluation matters as much as the model choice</li>\n</ul>\n<ul>\n<li>Clear communication. You turn ambiguous problems into structured, testable ideas and share insights clearly with technical and non-technical audiences</li>\n</ul>\n<ul>\n<li>You work AI-first. You will use AI daily here, and we mean daily.</li>\n</ul>\n<h3>Nice to haves</h3>\n<ul>\n<li>Experience applying signal processing to noisy, high-frequency sensor/time-series data (GPS, accelerometer, IMU) in production</li>\n</ul>\n<ul>\n<li>Exposure to insurance, mobile data, or behaviour modelling</li>\n</ul>\n<ul>\n<li>Experience with cloud platforms (AWS), containerisation (Docker, Kubernetes), or data orchestration frameworks</li>\n</ul>\n<ul>\n<li>Familiarity with our ML and tooling stack: MLflow for experiment tracking, DVC for data versioning, Streamlit for internal apps and demos</li>\n</ul>\n<h3>What it&#39;s like to work at Zego</h3>\n<p>At Zego, we operate like a high-performing sports team. We come together as one, driven by ambition, backed by real support, and united by a shared mission to win.</p>\n<h3>Benefits</h3>\n<ul>\n<li>Market-competitive salary, benchmarked against your function and reviewed every year.</li>\n</ul>\n<ul>\n<li>Annual performance bonus, linked to company performance and your contribution.</li>\n</ul>\n<ul>\n<li>Share options, a real stake in the company and a share in the future you build</li>\n</ul>\n<ul>\n<li>Private medical insurance.</li>\n</ul>\n<ul>\n<li>Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n</ul>\n<ul>\n<li>Cutting-edge systems and tools, so you always have what you need to drive your impact.</li>\n</ul>","enriched_at":1793458082473},{"id":"job_a89259e6-bf1","title":"Data Scientist","source_url":"https://jobs.ashbyhq.com/zego/aea14f06-fe74-46c8-aa0f-1827f762412c","location":"London","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Data Science","description":"<p>At Zego, we&#39;re on a mission to do the good thing, not the insurance thing.</p>\n<p>Insurance hasn&#39;t changed much in over a century. The way we live, work and travel has. We&#39;re building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive.</p>\n<p>As a Data Scientist, you&#39;ll contribute to the future of behaviour-based insurance. You&#39;ll contribute to the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and help bring impactful insights into production.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Build and refine behavioural features and factors from telematics data.</li>\n<li>Develop and maintain end-to-end pipelines in Python and SQL, ranging from simple heuristics to complex machine learning models.</li>\n<li>Build robust solutions that scale, whether rule-based or ML-driven.</li>\n<li>Collaborate with Software Engineers, Data Scientists, and Product Managers to implement features and evaluate their impact.</li>\n<li>Run experiments, test new ideas, and assist in automating insight generation.</li>\n<li>Translate complex sensor data into clear insights that can shape our roadmap and product.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>MSc or BSc in a relevant field (e.g., Computer Science, Engineering, Physics, Statistics), or equivalent practical experience.</li>\n<li>Hands-on experience developing data science or data engineering solutions. You&#39;re comfortable writing production-grade code, not just notebooks.</li>\n<li>Solid skills in Python and SQL, including standard libraries (Polars, Scipy, NumPy, Scikit-Learn).</li>\n<li>Experience building or maintaining data pipelines and tools that are reliable and maintainable.</li>\n<li>Clear communication skills: able to break down problems into testable hypotheses and collaborate effectively within multi-disciplinary teams.</li>\n<li>A growth mindset: curious, eager to learn from senior peers, and open to feedback.</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>Exposure to noisy, high-frequency, or time-series sensor data (e.g., GPS, accelerometer).</li>\n<li>Familiarity with digital signal processing or sensor physics principles.</li>\n<li>Familiarity with cloud platforms (e.g., AWS) and tools like Docker or basic pipeline orchestration.</li>\n<li>Background or interest in insurance, mobile telemetry, or behavioural modeling.</li>\n<li>Experience applying Deep Learning models to time-series data.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Market-competitive salary, benchmarked against your function and reviewed every year.</li>\n<li>Annual performance bonus, linked to company performance and your contribution.</li>\n<li>Share options, a real stake in the company and a share in the future you build.</li>\n<li>Private medical insurance.</li>\n<li>Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new.</li>\n<li>Cutting-edge systems and tools, so you always have what you need to drive your impact.</li>\n</ul>","enriched_at":1793457698343}],"category_normalised":[{"category":"engineering","count":12},{"category":"product management","count":10},{"category":"data science","count":4},{"category":"insurance","count":3},{"category":"sales","count":1},{"category":"operations","count":1},{"category":"human resources","count":1},{"category":"customer service","count":1}],"velocity":{"weeks":[{"week_start":"2026-10-19","count":9},{"week_start":"2026-10-26","count":24}],"trend":"stable","wow_pct":167},"momentum":{"recent_14d":33,"prior_14d":0,"growth_pct":0,"classification":"stable"},"salary_vs_industry":{"company_median":69487.5,"industry_median":null,"percentile":null,"sample_size":10,"by_region":[{"region":"EU","company_median":69487.5,"industry_median":null,"sample":10}],"transparency_pct":30,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":33,"industry_total":33,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.305,"skill_weighted_score":0.352,"top_exposed_titles":[],"top_exposed_skills":[{"skill":"AWS","count":3,"score":0.403},{"skill":"Data Science","count":4,"score":0.39},{"skill":"Machine Learning","count":4,"score":0.382},{"skill":"Amplitude","count":3,"score":0.367},{"skill":"Insurance","count":4,"score":0.355},{"skill":"SQL","count":12,"score":0.346},{"skill":"Experimentation","count":6,"score":0.343},{"skill":"Data Analysis","count":7,"score":0.34},{"skill":"Docker","count":8,"score":0.331},{"skill":"Looker","count":5,"score":0.326}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United Kingdom","count":21,"share_pct":63.6},{"region":"EU","count":10,"share_pct":30.3},{"region":"Unknown","count":2,"share_pct":6.1}],"emerging":[{"region":"United Kingdom","recent_30d":21,"prior_30d":0,"growth_pct":100},{"region":"EU","recent_30d":10,"prior_30d":0,"growth_pct":100}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":7,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":13}}}}