Lead Product Manager

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
• 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
• Able 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