IT & Software

Software Engineering Manager - AI Engineering

Marks & Spencer

Remote · Nationwide · United Kingdom

Overview

As Software Engineering Manager in the M&S Platform team, you will lead the AI Engineering platform to streamline development for 200+ engineers and 30+ applications. You’ll guide technical vision, build reusable pipelines and tooling, and contribute code, empowering digital products and a superior developer experience. You’ll shepherd engineering excellence, talent, and strategic alignment while partnering with vendors and senior engineers to deliver reliable, scalable platforms.

Pay / Benefits
  • 20% colleague discount on products
  • Competitive holiday allowance
  • Discretionary bonus schemes
  • Strong pension and life assurance
  • Tailored induction and training
  • Exclusive perks via M&S Choices portal
Responsibilities
  • Drive engineering excellence across your teams, covering technical direction, production solutions, and growth
  • Lead self-management and accountability through purposeful leadership and talent management
  • Align with the broader technical strategy and shape it with the Technology organisation
  • Act as platform owner, applying product thinking to enable digital products via data and user-centricity
  • Collaborate with engineering leadership to maintain strategic alignment and big-thinking
  • Line manage Staff and Senior Engineers, oversee recruitment and retention
  • Own and drive OKRs within your hub
  • Support engineering communities to progress their agendas efficiently
  • Be the primary technical partner for vendors when engaged
Key requirements
  • Extensive hands-on senior software engineering background
  • Strong knowledge of AI coding tools and agentic technologies
  • Experience leading teams of senior engineers delivering high-quality software
  • Solid understanding of system design, architecture, cloud, and standard software engineering practices
  • DevOps advocate: build it, run it
  • Experience with testing strategies and reliability engineering
  • Excellent people, analytical, and problem-solving skills
  • Ability to lead and influence senior engineers and technical partners toward outcomes
  • Excellent communication skills for diverse audiences
  • Servant-leadership mentality and ability to own problems and influence across levels
  • leadership
  • communication
  • collaboration
  • AI coding tools
  • agentic technologies
  • cloud deployment and production operations

Reference: WJ-747_30922352

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