Senior Product Manager (Supply Chain Orchestration)

We’re hiring a Senior Product Manager to own a core part of our supply chain orchestration product. You’ll work with customers whose operations depend on orders, shipments, and partner transactions moving correctly across companies and systems. Your job is to find where those workflows break down, decide what to build, and deliver products that measurably improve how our customers operate.

This is a senior, individual-contributor role. You’ll own a product area from discovery through adoption, make prioritization calls across customer, platform, and commercial needs, and bring roadmap decisions and results to executive leadership. You’ll go deep on technical details with engineering, and you’ll apply AI where it clearly helps: diagnosing exceptions, guiding resolution, and removing manual work.

You’ll work with Engineering, UX, Architecture, and Data Scientist in product development, and with Sales, Customer Success, Services, and Marketing to bring products to market.

Lead supply chain product strategy

• Own the product strategy and roadmap for supply chain orchestration, prioritizing by customer problem, business value, and fit with the platform.
• Develop a deep understanding of workflows such as order-to-cash, order fulfillment, shipment execution, and supplier and customer collaboration, including the exceptions that occur across organizational boundaries.
• Run discovery with operations users and business leaders. Turn workflow gaps into scalable product capabilities, and separate reusable opportunities from customer-specific customization.
• Define and track the outcomes your product should improve, such as order cycle time, on-time delivery, exception resolution time, manual effort, and trading partner onboarding time.
• Partner with Sales, Customer Success, Services, and Marketing to validate demand, position launches around customer value, enable field teams, and drive adoption after release.

Drive technical product decisions

• Define requirements for workflows spanning ERP, WMS, TMS, and trading partner systems, including APIs, EDI transactions, and business events.
• Work with engineering and architecture on data models, integration behavior, observability, security, reliability, and design tradeoffs.
• Turn strategy into clear requirements, prototypes, acceptance criteria, and phased releases, and lead build, buy, or partner decisions.

Apply AI where it creates measurable value

• Identify and prioritize AI use cases, such as exception diagnosis, guided resolution, and workflow automation, based on customer value, feasibility, and data readiness.
• With engineering, define how each AI capability will be evaluated and when a person needs to review or approve its actions. Measure task success, reliability, adoption, cost, and business impact.