Lead Product Manager

Job description

Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of. At GXO Logistics, we invest hundreds of millions in technology every year to create innovative solutions that drive business performance and customer success. As the AI Product Lead, you'll own the strategy, roadmap, and delivery of AI-powered products that enhance productivity, decision-making, and operational excellence across the enterprise. You'll partner with business leaders, data scientists, engineers, and technology teams to transform complex business challenges into scalable AI solutions that deliver measurable value. Join a forward-thinking organization where you'll help shape the future of AI while growing your career in a collaborative and fast-paced environment. Pay, benefits and more We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and more. What you'll do on a typical day: Own and manage the end-to-end lifecycle of AI, machine learning, generative AI, and advanced analytics products from ideation through deployment and continuous improvement Partner with business stakeholders to identify opportunities where AI can drive operational efficiency, automation, and business value Lead product backlog management, including prioritization of features, use cases, data requirements, and technical capabilities Translate business needs into AI-ready requirements, user stories, acceptance criteria, and measurable success metrics Collaborate with Data Science, Machine Learning Engineering, Platform, Architecture, Security, and Operations teams to deliver AI solutions using agile methodologies Facilitate sprint planning, backlog refinement, product demonstrations, and retrospectives to ensure successful product delivery Develop and maintain AI product roadmaps aligned with business objectives and enterprise AI strategy Monitor product performance, adoption, and value realization, making recommendations for optimization and enhancement Identify and manage AI-related risks, including data quality, model performance, governance, bias, explainability, security, and regulatory compliance Communicate AI concepts, opportunities, limitations, and business impacts to technical and non-technical audiences Partner with stakeholders to drive adoption and ensure successful implementation of AI capabilities Contribute to the advancement of AI product management standards, governance, responsible AI practices, and MLOps capabilities across the organization What you need to succeed at GXO: At a minimum, you'll need: Bachelor's degree in Information Systems, Computer Science, Engineering, Data Science, Business, or a related field, or equivalent combination of education and experience 5+ years of experience in product management, digital product management, business analysis, or technical project management Experience delivering AI, machine learning, advanced analytics, or data-driven products in an agile environment Experience managing product roadmaps, backlogs, prioritization, and stakeholder expectations Working knowledge of AI, machine learning, generative AI, data pipelines, and model lifecycle management concepts Experience gathering business requirements and translating them into technical solutions Strong analytical, problem-solving, and decision-making skills Ability to navigate ambiguous business challenges and develop practical, scalable solutions Experience working with cross-functional teams in a matrixed environment Knowledge of agile delivery methodologies and tools such as Jira and Confluence Strong stakeholder management and influencing skills Excellent verbal and written communication skills, including the ability to communicate technical concepts to non-technical audiences Ability to manage multiple priorities and projects simultaneously Availability for limited travel, typically less than 10% It'd be great if you also have: Experience delivering AI, machine learning, generative AI, or advanced analytics products at enterprise scale Exposure to supply chain, warehousing, logistics, transportation, or industrial technology environments Familiarity with MLOps practices, AI governance frameworks, and responsible AI principles Experience working with data science, machine learning engineering, and analytics teams Knowledge of data platforms, cloud technologies, and modern AI ecosystems Experience measuring product performance, adoption, and business value realization Ability to influence stakeholders and drive alignment without direct authority Experience supporting digital transformation and innovation initiatives Passion for applying emerging technologies to solve complex business problems and create business value 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. We are proud to be an Equal Opportunity employer including Disabled/Veterans. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 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.