Engineering Manager - Consumer Intelligence & Engagement

This role sits within the Consumer Intelligence & Engagement organisation, which delivers the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels, including personalisation, recommendations, consumer intelligence, experimentation and AI-driven decisioning. The Engineering Manager is accountable for engineering delivery, roadmap execution, operational excellence and the development of the engineering team. The position partners with Product Owners, Data Engineering & Analytics, Tech Leads and peer engineering teams to enable predictable delivery, grow engineering talent and build a high-performing culture focused on ownership, accountability and continuous improvement.

• Lead and develop a team of software engineers building product discovery experiences, including search, browse, merchandising, recommendations and consumer engagement capabilities.
• Enable the delivery of scalable, reliable and reusable services that power product discovery, content discovery and consumer engagement experiences across digital channels.
• Drive continuous improvement of search, browse, recommendation and merchandising experiences through experimentation, analytics and consumer behavioural insights in collaboration with the Product & Merchandising team.
• Partner with Product, Merchandising, Data Engineering and Consumer Experience teams to improve product findability, discovery effectiveness, consumer engagement and conversion outcomes.
• Drive planning and execution against team objectives and key results (OKRs), ensuring alignment, accountability and transparent reporting.
• Own sprint execution, delivery planning, capacity management, dependency management and risk management.
• Drive engineering excellence through strong development practices, quality standards, operational discipline and continuous improvement.
• Coach engineers through regular feedback, mentoring, performance management and career development.
• Build a high-performing engineering culture focused on ownership, accountability, collaboration and learning.
• Establish effective engineering metrics and use data to improve team productivity, quality and delivery predictability.
• Drive adoption of AI-assisted engineering practices and automation to improve productivity, quality and delivery efficiency, identifying opportunities to leverage AI across software development, testing, documentation, knowledge management and onboarding.
• Collaborate with engineering leadership on hiring, staffing, onboarding, talent development and succession planning, and manage delivery partners and vendors where applicable to ensure alignment with team objectives.

• 10+ years of software engineering experience, with experience leading engineering teams in an agile delivery environment.
• 3+ years of people leadership experience.
• Strong experience leading roadmap execution, delivery planning, dependency management and stakeholder engagement.
• Strong people leadership skills with experience in hiring, mentoring, developing and retaining high-performing engineering teams.
• Strong understanding of modern software engineering practices, including software architecture and engineering principles, code quality, automated testing, CI/CD and AI-assisted development.
• Strong communication, collaboration, decision-making and organisational leadership skills.
• Experience driving engineering quality, operational excellence, reliability, security and continuous improvement.
• Experience working in Agile delivery environments using tools such as Jira and Confluence or equivalent.
• A data-driven mindset with the ability to use engineering, delivery and operational metrics to improve team effectiveness and predictability.
• Experience working with search, browse, recommendations, merchandising and product discovery capabilities.
• Bachelor's degree in Computer Science, Information Technology, Engineering or a related field.

• Experience working with consumer behavioural data, experimentation platforms, product catalogues, search technologies, recommendation engines or personalisation platforms.
• Experience leveraging coding agents, LLMs and AI-assisted engineering tools to improve software delivery and team productivity.
• Experience in global DTC, retail, omnichannel commerce or a high-volume consumer digital environment.

PUMA is a global sports brand creating footwear, apparel and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf and stichd, operates in more than 120 countries and has around 22,000 employees worldwide. PUMA looks for SPEED & SPIRIT in its candidates, defined by values that inspire people to be driven in performance, vibrant in sporting legacy and together in team spirit, while letting individual talent and experience shine.