Director of Engineering Consumer Intelligence & Engagement

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SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our individual talent and experience shine. Applying for a job at PUMA is easy. Simply click APPLY ONLINE and follow the steps to upload your application. YOUR MISSION The Director of Engineering - Consumer Intelligence & Engagement is a product-aligned technology leader with direct accountability for engineering delivery across the capabilities that define how consumers discover, engage with, and respond to our brand. This role owns the full product technology lifecycle, from architecture decisions and roadmap execution to engineering standards and platform health. Your organisation is the layer of intelligence and engagement that activates our core commerce capabilities: shaping what consumers see, how content reaches them, how products are discovered, and how campaigns convert. AI is a key enabler across this organisation: you will apply AI to enhance personalisation, accelerate content workflows, improve product discovery, and build smarter campaign targeting, but strong software engineering depth across these product domains remains the primary craft. As PUMA continues to scale its DTC Engineering organization, our leaders are expected to be visible culture builders. These roles are office-based and require regular in-person collaboration to accelerate decision-making, strengthen team cohesion, foster innovation, and build a world-class engineering capability from the ground up. Key Responsibilities & Scope of Ownership: Personalisation - consumer segmentation, behavioural targeting, AI-driven product recommendations, and next-best-action experiences. Content Management - content modelling, authoring workflows, and multi-channel distribution via headless CMS (Sanity); AI-assisted content enrichment and generation. Product Detail & Listing Pages (PDP/PLP) - page architecture, attribute rendering, media delivery, sorting, filtering, and AI-enhanced product presentation. Product Discovery - search (keyword and AI-assisted semantic), browse, faceted navigation, and ranking logic. Consumer Communication - email, push notifications, SMS, and in-app messaging delivery, personalisation, and orchestration. Promotions & Campaigns - personalised promotions, offer management, campaign targeting, scheduling, and performance instrumentation. Technology Vision & Product Roadmap Delivery Own the technology strategy and engineering roadmap across all Consumer Intelligence & Engagement capabilities, in close partnership with the product organisation. Act as the primary technology partner to product owners and business stakeholders including participating in discovery, sprint planning, OKR definition, and roadmap prioritisation. Drive end-to-end delivery accountability: architecture decisions, engineering execution, quality assurance, release management, and production health across the full capability portfolio. Make principled build/configure/integrate decisions across the stack by balancing SFCC platform capabilities, Sanity content workflows, GraphQL API design, and custom development. Establish a technology vision that progressively embeds AI as an engineering accelerator and product differentiator across each capability domain. Personalisation & Product Discovery Engineering Lead the engineering design and delivery of personalisation capabilities such as consumer segmentation logic, affinity modelling integrations, and real-time recommendation surfaces on PDP, PLP, homepage, and campaign pages. Own the product discovery engineering stack: search indexing, query understanding, faceted navigation, and results ranking - integrating AI-powered relevance signals to measurably improve discovery outcomes. Build the technical foundation for A/B testing, multivariate experimentation, and feature flagging across personalisation and discovery surfaces, enabling rigorous data-driven optimisation. Define and own the data contract between consumer event infrastructure and personalisation/ranking systems, including schema standards, latency requirements, and completeness in partnership with data engineering and analytics. Content Management & PDP/PLP Engineering Own the engineering of content management infrastructure including Sanity CMS content modelling, editorial workflows, content delivery APIs, and multi-channel distribution. Lead PDP and PLP engineering: page composition, product attribute rendering, media and asset delivery, enriched content blocks, and SEO-critical technical requirements. Leverage AI to accelerate and enrich content workflows - automated product description generation, attribute enrichment, image tagging, and content QA tooling built on top of LLM APIs. Ensure content and product page experiences are performant, accessible, and composable by building reusable ReactJS front-en

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