AI Product Owner- Quote & Order Management

Graybar•Chesterfield, MO

2d•Hybrid

About The Position

Own the product vision, backlog, and delivery of Graybar’s AI-powered Quote & Order Management platform – the system that is automating how Graybar captures, processes, and fulfills customer quotes and orders received via email in structured and unstructured formats. This product is live in its pilot district and preparing to scale across 12 additional districts serving approximately 2,500 active users processing 190 million order lines annually. As the AI Product Owner, you are the bridge between Graybar’s sales and customer service teams, the engineering and data science teams building the platform, and the SaaS partner powering the AI engine. You ensure we build the right features, in the right order, to maximize adoption and business value. The Quote & Order Management platform uses AI to automatically capture quotes and orders from customer emails, match products to Graybar’s catalog (including items without Graybar IDs), and present them for human-in-the-loop review before submission. Current capabilities include handling structured and unstructured email formats, obscuring cost and margin information, and supporting a pilot of approximately 1.3 million lines across 550 active users. The 2026 roadmap includes expanding to products without Graybar IDs (NOF (“not on file”/lot), integrating wire cut sheet workflows, launching a voice integration pilot, and scaling nationally.

Requirements

Minimum 5+ years of experience in product ownership, business analysis, or product management
Experience working in Agile/Scrum environments with responsibility for backlog management and sprint ceremonies
Demonstrated ability to translate business processes into technical requirements and user stories
Experience managing products through pilot-to-scale transitions or multi-phase rollouts
Four-year degree in Business, Information Technology, Engineering, or related field (or equivalent experience)
Knowledge of Agile product development practices, including user story writing, backlog prioritization frameworks (WSJF, MoSCoW, RICE), and sprint planning
Knowledge of business processes in sales, order management, or customer service operations
Understanding of how AI/ML models work at a conceptual level – training data, accuracy metrics, confidence scores, and the iterative nature of model improvement
Knowledge of change management practices for deploying technology across distributed operations
Strong analytical and problem-solving skills – ability to decompose complex business workflows into discrete, buildable product increments
Excellent communication skills – ability to facilitate requirements workshops, present to stakeholders at all levels, and write clear documentation
Active listening and requirements elicitation skills – ability to probe beyond stated needs to uncover root problems and opportunities
Organizational and prioritization skills – managing competing demands from multiple districts, stakeholder groups, and technical constraints
Ability to work effectively at the intersection of business operations and technology – comfortable in a warehouse observing branch workflows one day and in a sprint planning session with engineers the next
Ability to manage stakeholder expectations around AI capabilities – explaining why AI is not 100% accurate, how it improves over time, and what “good enough” means for production use
Ability to make scope and prioritization decisions with incomplete information and adapt quickly as new data emerges
Ability to build strong working relationships across cross-functional teams, including remote engineering teams, SaaS vendor partners, and field operations staff
Ability to thrive in a fast-moving environment where the product is evolving rapidly and the playbook is being written in real time

Nice To Haves

Experience with AI/ML-powered products or data-driven applications, particularly document intelligence, NLP, or order automation
Familiarity with Azure DevOps or similar Agile work management tools (Jira, Rally)
Experience in electrical distribution, wholesale distribution, supply chain, or B2B sales operations
Understanding of order management, quoting, or sales workflows in a high-volume environment
Certified Scrum Product Owner (CSPO), Professional Scrum Product Owner (PSPO), or equivalent certification
Familiarity with Microsoft Azure ecosystem or AI/ML concepts (LLMs, confidence scoring, human-in-the-loop patterns)

Responsibilities

Own and prioritize the product backlog in Azure DevOps – write user stories, define acceptance criteria, and ensure the team always knows what to build next and why
Represent the voice of Graybar’s sales representatives, customer service agents, and district operations leaders; translate their workflows, pain points, and needs into actionable product requirements
Lead sprint planning, backlog refinement, and sprint reviews; accept completed work and make scope decisions within sprints
Define acceptance criteria for AI-powered features that account for model accuracy, confidence thresholds, and edge cases – understanding that AI outputs are probabilistic, not deterministic
Design and optimize human-in-the-loop review workflows – determining where human review is required, where it can be streamlined, and how to build user trust in AI-generated recommendations
Drive the scaling strategy from pilot to enterprise rollout: plan district onboarding, define readiness criteria, measure adoption metrics, and manage change across diverse branch operations
Collaborate with the data science team and SaaS provider to define data requirements, evaluate model performance, and prioritize model improvements based on business impact
Work with the UX Designer to ensure the review and confirmation interfaces are intuitive, efficient, and designed for the pace of a high-volume sales operation
Define and track product KPIs: order processing time, accuracy rates, user adoption, exception rates, and business value delivered
Manage stakeholder communication – regularly update district leaders, sales management, and executive sponsors on product progress, upcoming features, and rollout timelines
Participate in AI governance activities, ensuring responsible use of AI in customer-facing order processing and compliance with data privacy requirements

Benefits

Multiple plan options for Medical, Dental, Vision, and Prescription Drug benefits.
Life Insurance coverage for you and options for your family.
Flexible Spending Accounts.
Disability Benefits at no cost to you.
Profit Sharing Plans.
401(k) Savings Plan with company match.
Paid Vacation & Sick Days.
Paid Holidays.
Paid Wellness Day.
Community Time Off.
Employee Recognition Program.
Educational Reimbursement and Career Development Programs.