Top Tech Jobs & Startup Jobs

Owns the product roadmap and backlog for customer support experiences, tools, processes, automation, and contact centre technologies. Partners with Engineering, Design, Operations, Data and AI, and Service teams to identify opportunities, prioritise investments, improve customer and colleague experiences, increase operational efficiency, and deliver measurable business value through continuous product improvement.

Leads a team delivering food category product activity from concept through artwork. Responsibilities include managing complex cross-functional programmes, creating critical paths, coordinating Trading, Product Development, Technical, Design, Packaging, Supply Chain and suppliers, monitoring risks and decisions, providing progress updates, and improving launch, artwork and system processes. The role also involves people leadership, coaching, accountability, problem-solving, and executive-ready reporting using Excel and PowerPoint.

Supports regional learning leaders by coordinating development programmes, customer assistant inductions, onboarding, compliance learning, and upskilling sessions. Delivers welcoming learning experiences, facilitates business sessions, maintains academy facilities, manages learning capacity digitally, supports stakeholder relationships, and contributes to continuous improvement. Requires strong retail, product, digital, communication, and presentation capabilities.

Lead end-to-end delivery of network upgrades and infrastructure changes across distribution centres. Coordinate technology programmes, suppliers, engineering, architecture, logistics, deployment schedules, dependencies, governance, risks, and transition activities while minimizing disruption to operations.

Leads online trading and ecommerce commercial performance across categories and business units. Develops trading strategy, drives sales and conversion, optimizes customer journeys, and ensures accurate product launches and seasonal execution. Uses data and digital insights to improve availability, engagement, site speed, and customer satisfaction. Leads and develops multi-category trading teams while influencing Buying, Merchandising, Content, Imagery, and Marketing partners.

Leads end-to-end delivery of complex technology programs, establishing plans, governance, reporting, and delivery rhythms. Coordinates cross-functional teams, suppliers, and partners; manages dependencies, risks, issues, assumptions, and changes. Oversees stakeholder communication, implementation planning, operational readiness, and continuous improvement while collaborating with Architecture, Engineering, Product, and Business teams in Agile or hybrid environments.

Leads financial strategy, planning, budgeting, forecasting, investment evaluation, business cases, profitability improvement, and transformation for the M&S Brands business. Partners with senior leaders across Brands, Buying, Merchandising, Marketing, Supply Chain, Online, and Finance to guide growth, governance, risk management, and commercial performance.

Develop and improve food and lifestyle products from concept through launch. Monitor consumer, food, packaging, and ingredient trends; identify commercial opportunities; shape product and range strategies; and collaborate with buyers, technical managers, marketers, technologists, trading managers, and suppliers. Ensure products meet customer expectations, brand values, quality standards, sales goals, and market-share objectives.

Lead M&S TV’s content and editorial strategy across YouTube, Instagram, TikTok, and M&S.com. Own programming, audience growth, publishing, community engagement, talent and creator relationships, usage-rights compliance, and agency partnerships. Use audience and performance insights to develop formats, improve distribution, increase engagement and sales, and grow the YouTube community. Manage budgets, contracts, moderation, sentiment monitoring, and production partners without direct line-management authority.

Build and maintain automated cloud data solutions, scalable ETL pipelines, and data warehouses. Own complex backlog tasks, promote code quality through reviews and pair programming, and use experimentation to improve solutions. Support analytical tools that deliver actionable insights, operational efficiencies, and business performance metrics. Requires strong experience with Azure or other cloud data technologies, data warehousing, ETL, Databricks, SQL, Python, and Spark.