Engineering Manager - Consumer Intelligence & Engagement

Description

The team builds the search, browse, recommendation, merchandising and engagement features that help shoppers find products, content and membership benefits across digital channels.

The role sits in the Consumer Intelligence & Engagement organisation, which builds personalisation, recommendations, consumer intelligence, experimentation and AI-driven decisioning.

You will manage engineering delivery and the roadmap, keep operations running well, and grow the engineers on the team. You will work with Product Owners, Data Engineering & Analytics, Tech Leads and other engineering teams.

The company is a global sports brand with footwear, apparel and accessories. The group owns several brands, operates in 120+ countries and has around 22,000 employees.

Responsibilities

• Lead and grow a team of software engineers working on product discovery, including search, browse, merchandising, recommendations and consumer engagement.
• Help deliver scalable, reliable and reusable services for product, content and consumer engagement experiences across digital channels.
• Improve search, browse, recommendations and merchandising through experiments, analytics and insight into consumer behaviour, working with the Product and Merchandising team.
• Work with Product, Merchandising, Data Engineering and Consumer Experience teams to make products easier to find and to lift discovery, engagement and conversion.
• Plan and track progress against team objectives and key results, keeping work aligned and reporting transparent.
• Own sprint execution, delivery planning, capacity, dependencies and risks.
• Set high standards for engineering practice, quality and operational discipline, and keep improving them.
• Coach engineers through regular feedback, mentoring, performance reviews and career development.
• Build a culture where engineers take ownership, hold themselves accountable, collaborate well and keep learning.
• Set up useful engineering metrics and use them to improve productivity, quality and delivery predictability.
• Drive the use of AI-assisted engineering and automation to raise productivity, quality and delivery speed.
• Find places to use AI in software development, testing, documentation, knowledge management and onboarding.
• Work with engineering leadership on hiring, staffing, onboarding, talent development and succession planning.
• Manage delivery partners and vendors where needed, keeping them aligned with team objectives.

Requirements

• At least 10 years of software engineering experience, including leading engineering teams in agile delivery.
• At least 3 years of people leadership experience.
• Strong track record of executing roadmaps, planning delivery, managing dependencies and engaging stakeholders.
• Strong skills in hiring, mentoring, developing and retaining high-performing engineers.
• Solid understanding of modern engineering practice: software architecture, engineering principles, code quality, automated testing, CI/CD and AI-assisted development.
• Strong communication, collaboration, decision-making and organisational leadership skills.
• Experience improving engineering quality, operational excellence, reliability, security and continuous improvement.
• Experience working in agile teams with tools such as Jira and Confluence, or equivalents.
• A data-driven approach to using engineering, delivery and operational metrics to make teams more effective and predictable.
• Experience with search, browse, recommendations, merchandising or product discovery.
• Experience with consumer behavioural data, experimentation platforms, product catalogues, search technology, recommendation engines or personalisation platforms is a plus.
• Experience using coding agents, LLMs and AI-assisted engineering tools to improve delivery and team productivity is a strong advantage.
• Experience in global DTC, retail, omnichannel commerce or high-volume consumer digital environments is preferred.
• A Bachelor's degree in Computer Science, Information Technology, Engineering or a related field.

Conditions

The company gives equal opportunities to all applicants and does not tolerate harassment or discrimination.

Every application is reviewed by people. No automated system or AI tool makes hiring decisions, though AI may handle isolated admin steps such as scheduling interviews.