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Are you passionate about transforming business challenges into AI-powered solutions? Do you thrive at the intersection of technology, data, and strategy? Ready to lead the development of innovative AI products that deliver measurable value across a global organisation?

Here at GXO, we’re looking for a AI Product Lead that can drive the end-to-end lifecycle of artificial intelligence and advanced analytics products that enable GXO’s enterprise functions. This role translates business problems into AI-enabled use cases, manages prioritized backlogs of models, data products, and AI capabilities.

This is a full-time permanent position, offering remote working with occasional travel to our head-office in Northampton. You’ll be working Monday to Friday, 09:00 till 17:00. However, some flexibility is required, as you will be working with various time-zones.

Pay, benefits and more:

We’re looking to offer a salary of up to £79,500 per annum, and 25 days annual leave (plus bank holidays). Your benefits package includes, a company sponsored pension scheme, private medical & dental insurance, a 24/7 online GP service, life assurance and a fully comprehensive employee assistance programme. You’ll also have access to our MyBenefits platform offering a variety of high street discounts, a cycle to work scheme, cashback cards, a saving scheme and much more!

What you’ll do on a typical day:

• Own the end-to-end lifecycle of AI products, from identifying business opportunities and defining use cases through to deployment, adoption, performance monitoring, and continuous optimisation.
• Shape and prioritise the AI product roadmap, managing backlogs of AI, machine learning, GenAI and advanced analytics initiatives that deliver measurable business value.
• Translate complex business challenges into AI-enabled solutions, defining requirements, success metrics and user stories while partnering with Data Science and Engineering teams to bring ideas to life.
• Collaborate with cross-functional teams including Data Science, Engineering, Architecture, Security and Operations to deliver scalable, secure and impactful AI capabilities using agile delivery practices.

What you need to succeed at GXO:

• Experience in delivering AI, GenAI, Machine Learning, Analytics, or Data Products within an agile environment.
• Strong product management experience, including ownership of roadmaps, backlogs, and prioritisation.
• Good understanding of AI/ML concepts, data products, model lifecycles, and responsible AI practices.
• Proven ability to work across Data Science, Engineering, Architecture, Security, and Business teams.

• Working knowledge of agile delivery tools (e.g., JIRA, Confluence) and familiarity with MLOps or analytics platforms.

We engineer faster, smarter, leaner supply chains.

GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. GXO is an equal opportunity employer. We celebrate, support and thrive on diversity and are committed to creating an inclusive environment for all employees. We believe that diversity and inclusion in our business is critical to our success as a global company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. We are an Armed Forces friendly organisation and Disability Confident Leader as part of the Disability Confident Scheme (GIS) and actively welcome applications from people with disabilities.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.