Jobs at The Very Group

Leads Very’s digital product strategy across Web and App, including CRO, UX, research, experimentation, customer journeys, AI and personalisation. Owns product portfolio direction, roadmaps, investment decisions and commercial outcomes such as conversion, profitability and customer value. Leads Product, UX, Research and Experimentation teams, develops senior talent, aligns cross-functional stakeholders and drives complex change across the business.

Leads a large data engineering organization, including multiple engineering managers and approximately 40 engineers and analysts. Sets data engineering strategy, oversees cloud adoption and platform modernization, and delivers secure, scalable data products. Develops engineering leaders, manages technical debt and roadmaps, promotes modern engineering practices, and partners with product, architecture, technology, and business stakeholders to align data capabilities with organizational goals.

Lead the product strategy and vision for Very’s onboarding, checkout, and My Account journeys across app and website. Manage and develop Product Leaders, align Product, Technology, UX, Analytics, Commercial, and Trading teams, and use customer research, experimentation, analytics, AI, and commercial insight to improve customer experience, conversion, and revenue. Present investment cases and influence senior leadership.

Manage and optimize paid social campaigns across Meta, Pinterest, TikTok, and YouTube to drive profitable customer acquisition and sales. Responsibilities include campaign leadership, budget allocation, KPI and ROI management, stakeholder communication, performance reporting, testing, platform trend monitoring, and direct-report management. The role requires experience across direct-response and brand marketing, strong analytical skills, and familiarity with GA4, marketing mix modeling, and multi-touch attribution.

Lead technology and home appliance brand partnerships for Very Media Group. Develop integrated retail media campaigns, secure partner investment, manage budgets and forecasts, coordinate internal and external stakeholders, protect brand standards, and measure campaign performance. The role manages a team of three and builds strategic partnerships that drive commercial growth, customer engagement, and long-term brand value.

Creates and maintains supplier accounts and master data in the ERP system, sends account confirmations, resolves missing information with Procurement and Supplier Management, contacts suppliers for diligence, coordinates technical issue resolution, follows P2P compliance procedures, and identifies process improvements.

Leads discovery and delivery for complex, data-focused programmes. Translates business needs into requirements and data solutions, analyses processes and data flows, facilitates stakeholder workshops, defines KPIs and business cases, manages requirements through implementation, supports data platforms and governance, validates solutions, and tracks benefits. Partners with Product, Engineering, Architecture, Analytics, and senior business stakeholders to improve processes, drive adoption, and deliver measurable value.

Leads the architecture, development, and evolution of scalable cloud-native data platforms and production data solutions. Provides technical leadership across initiatives, establishes engineering standards, mentors engineers, resolves complex production issues, and improves platform performance, reliability, security, and cost efficiency. Works with Product, Platform, Architecture, and engineering teams to shape technical direction and roadmap priorities.

Designs and builds scalable data pipelines and cloud-based data platforms supporting enterprise analytics and business decisions. Owns solutions through production, improves deployment, monitoring, reliability, performance, and cost, and troubleshoots complex data issues. The role also establishes engineering standards through code reviews and reusable patterns, contributes to technical decisions, collaborates across product and engineering teams, and mentors other data engineers. Teradata expertise and knowledge of modern cloud, warehousing, ETL, lakehouse, and data platform technologies are required.

Supports the Electrical category across product setup, launch, trading, forecasting, ordering, stock management, replenishment, pricing, promotions, supplier sourcing, range building, and reporting. The role collaborates with buying, merchandising, marketing, trading, and customer experience teams while analyzing product performance and stock levels to improve availability and efficiency.

Manage toy brands and product categories, overseeing product setup, pricing, promotions, range development, performance tracking, and stock health. Monitor market trends and emerging brands, use forecasting and pricing tools, maintain accurate data, and collaborate with Trading, Marketing, Supply Chain, Pricing, Commercial, and suppliers to drive category growth and competitiveness.

Leads the Data QA strategy across data platforms and products. Designs automated testing frameworks for ETL/ELT pipelines, transformations, integrations, reporting layers, and large datasets. Performs validation, reconciliation, defect investigation, and root-cause analysis while embedding quality throughout the development lifecycle. Mentors QA Engineers, establishes testing standards, and promotes automation, continuous improvement, and AI-enabled testing practices.

Owns the enterprise vulnerability management lifecycle across legacy, cloud, containerized, and third-party environments. Coordinates penetration testing, vulnerability triage, remediation tracking, risk acceptance, reporting, audit readiness, tooling improvements, and governance. The role also builds and leads a vulnerability management team, coaches staff, improves asset and testing coverage, and translates technical findings into business risk for senior stakeholders.

Provides hands-on technical leadership across software engineering squads, designing scalable Java and AWS solutions, guiding architectural decisions, improving quality, reliability, security, and CI/CD practices. The role influences engineering standards, mentors engineers, identifies technical risks, and collaborates with Product, Architecture, and Engineering teams to deliver customer-facing applications and cloud-native platforms.

Analyze fraud patterns and customer behavior, monitor fraud-rule performance, support the design and testing of fraud controls, and build dashboards, reports, or models. The role collaborates with Credit Risk, Fraud Operations, and other stakeholders to identify emerging threats, improve fraud strategies, and minimize business and customer losses.

Manage day-to-day execution for toy brands and product areas, including product setup, pricing, promotions, range development, performance tracking, and stock management. Monitor trends and emerging brands, maintain data accuracy, use forecasting and pricing tools, collaborate with Trading, Marketing, Supply Chain, Pricing, and Commercial teams, and build supplier relationships to drive category growth.

Translate solution architecture into detailed functional, technical, and interface specifications for logistics and fulfilment systems. Define data mappings, transformation rules, validation, error handling, and integration contracts across complex multi-system environments. Support engineering and QA throughout the SDLC, conduct impact assessments, maintain requirements traceability, and contribute to data governance and GDPR/PII practices. Collaborate with architects, product owners, engineering leads, and data specialists to resolve design ambiguities and improve delivery standards.

Design, evolve and operate the core cloud platform to improve developer experience, scalability, reliability and CI/CD. Build automation, tooling and integrations, troubleshoot complex systems, and guide teams to adopt modern engineering practices.

Owns the vision, strategy, roadmap, and lifecycle of complex data products. Leads discovery, prioritization, stakeholder alignment, delivery, adoption, governance, and continuous improvement. Partners with data engineering, BI, governance, architecture, and delivery teams to create trusted data products. Establishes OKRs and success metrics, identifies opportunities involving analytics and AI, and coaches teams in product-led ways of working.

Own and evolve the product operating model to improve prioritisation, governance, tooling, reporting and delivery across product, engineering, UX, data and commercial teams. Drive portfolio planning, value-focused investment decisions, and coach teams on product best practice. Act as Product Manager for the Personal Loans proposition and embed controls to meet regulatory requirements.