Director, Product Management

GXO Logistics•Greenwich, CT

26d

About The Position

The Director, Product Management – Operational AI will lead GXO’s Warehouse AI Product Management organization and define, govern, and scale its portfolio of AI-powered warehouse optimization products. The role owns product vision, portfolio strategy, roadmap prioritization, Product Board governance, and value realization, ensuring products deliver measurable operational and financial outcomes across GXO’s global warehouse network. The Director works across Operations, Data Science, Engineering, Deployment, Commercial, and regional leadership teams to align stakeholders around product strategy and roadmaps. The position establishes the Product Management operating model and governance, leads product business cases and lifecycle planning, and ensures product capabilities can be deployed consistently at scale while accommodating local operational needs. It also builds and develops a high-performing Product Management team, supports customer engagements and commercial growth, and provides strategic input on technology partnerships and third-party solutions. Travel of up to 10–20% may be required.

Requirements

Bachelor’s degree in a related field or an equivalent combination of education and experience.
At least 8 years of experience in Product Management, Product Strategy, Digital Product Leadership, or AI/ML-enabled enterprise technology products.
At least 3 years of experience leading Product Managers or cross-functional product teams.
Proven experience launching and scaling technical products with measurable business impact.
Experience managing products in operational environments such as warehousing, manufacturing, logistics, or similar industries.
Experience working with AI/ML technologies or data-intensive products.

Nice To Haves

MBA or advanced degree in a related field.
10+ years of product leadership experience supporting B2B enterprise software, AI/ML products, logistics technology, or operational technology solutions.
Experience building or scaling a Product Management function, governance model, or portfolio management framework.
Direct warehouse or logistics operations experience.
Familiarity with Warehouse Management Systems (WMS) and the broader logistics technology ecosystem.
Experience managing products across distributed sites or multi-tenant environments.
Demonstrated ability to establish product vision, portfolio strategy, prioritization principles, and operating models.
Strong leadership capabilities, including experience coaching and developing Product Managers.
Strategic thinking skills and ability to balance long-term vision, operational realities, technical feasibility, and business priorities.
Strong analytical and data-driven decision-making skills focused on business value realization.
Exceptional executive communication and presentation skills.
Proven ability to influence and build alignment across complex, global, cross-functional organizations.
Strong technical aptitude, including ability to discuss AI/ML concepts, data architecture, systems integrations, and operational technologies.
Deep understanding of warehouse operations, end-user needs, and deployment challenges in distributed site environments.

Responsibilities

Define and lead Warehouse AI product vision, portfolio strategy, roadmap, and prioritization across AI-powered warehouse optimization products.
Chair the Warehouse AI Product Board and own portfolio governance, prioritization methodologies, roadmap decisions, investment recommendations, and product lifecycle management.
Establish and maintain the Product Management operating model, including discovery, requirements management, roadmap planning, release governance, stakeholder reviews, adoption measurement, and portfolio reporting.
Lead business cases, product requirements, success metrics, release plans, and value realization strategies for new capabilities, enhancements, and strategic investments.
Own the Warehouse AI value realization framework and ensure products deliver measurable productivity gains, cost savings, operational improvements, adoption outcomes, customer value, and return on investment.
Build, coach, and develop a high-performing Product Management team focused on Operational AI solutions.
Partner with Data Science and Engineering to align product strategy, AI/ML capabilities, technical delivery, and business objectives.
Collaborate with deployment teams and regional operations leaders to drive adoption from pilot through enterprise-scale implementation, balancing regional needs with global standardization.
Ensure products are scalable, repeatable capabilities that can be deployed consistently across GXO’s global warehouse network while addressing local operational requirements.
Lead executive-level prioritization discussions and strategic trade-off decisions across Operations, Technology, Commercial, and regional stakeholders.
Translate operational challenges into scalable product capabilities and communicate AI/ML concepts, product strategies, and business outcomes to technical and non-technical audiences.
Partner with Commercial and Solutions Design teams to articulate product value, support customer engagements, develop business cases, and incorporate Warehouse AI capabilities into customer solutions and growth strategies.
Provide product leadership and strategic input into technology partnerships, third-party solutions, and ecosystem opportunities.
Support customer-facing teams with product value propositions, business cases, deployment success stories, and Warehouse AI solution messaging.
Travel up to 10–20% as required.