Manufacturing Solutions Product Manager

ToolsGroupBoston, MA
Hybrid

About The Position

ToolsGroup is a global provider of supply chain planning and optimization software. Our platform enables companies to forecast demand, optimize inventory, and plan supply across complex, multi-tier networks. We are evolving our portfolio toward an AI-first, agentic platform (Decion)—introducing decision-centric workflows that combine probabilistic modeling, optimization, and autonomous decision support to improve service levels, reduce working capital, and accelerate response to change. ToolsGroup has a strong foundation in demand forecasting, inventory optimization, and replenishment across many innovative manufacturing customers. Now, Agentic AI – autonomous, decision-making systems – are poised to transform SC planning by enabling decision-centric workflows, where supply chain software not only predicts outcomes but acts autonomously to optimize plans in real time. ToolsGroup is committed to leading this next era of planning. As Manufacturing Solutions Product Manager, you will be at the forefront of defining how an AI-first, agentic approach –across core product, industry-specific planning templates and best-practice service offerings - can revolutionize manufacturing planning for our customers. This is a rare opportunity to shape a first-of-its-kind solution for manufacturing inside a market-leading planning platform, bridging product strategy, industry expertise, and hands-on innovation to deliver groundbreaking value. You will operate at the intersection of product, solution design, and customer engagement, shaping how manufacturing requirements influence roadmap priorities while ensuring consistent, high-impact outcomes across Product and Professional Services.

Requirements

  • 7+ years in one or more of the following: Product management for supply chain / manufacturing software, or Manufacturing or supply chain planning roles (production, materials, supply planning, operations).
  • Experience with Production planning, MPS, or APS.
  • Experience with Supply chain planning systems (e.g., Kinaxis, OMP, o9, SAP IBP, etc.).
  • Ability to translate complex workflows into clear product direction and requirements.
  • Strong understanding of manufacturing constraints (BOMs, capacity, lead times).
  • Strong understanding of multi-site and multi-echelon supply networks.
  • Comfortable operating in ambiguity and defining structure.
  • Strong customer-facing presence: Can lead discovery and challenge assumptions, and can engage both practitioners and executives.
  • Clear written and verbal communication across abstraction levels.
  • Comfortable using AI tools to accelerate product work (research, prototyping, specification).
  • Interested in applying AI to redefine planning workflows (not just feature delivery).
  • Strong cross-functional collaboration without authority.
  • Outcome-oriented and data-driven.
  • Hands-on and execution-focused.

Responsibilities

  • Define and drive ToolsGroup’s market-facing product direction for manufacturing.
  • Define ToolsGroup’s perspective on manufacturing planning in an AI-first world.
  • Map “day-in-the-life” workflows across production planning and scheduling, supply and inventory decision-making, and aftermarket/service parts planning.
  • Identify high-value decision workflows (e.g., constrained supply balancing, prioritization, exception management, available / profitable to promise).
  • Define standardized manufacturing solution templates spanning production planning / MPS, capacity-aware supply planning, and inventory and service level trade-offs.
  • Ensure templates are productizable by horizontal PMs and deliverable by Professional Services.
  • Create repeatable assets (demo flows, ROI narratives, configuration patterns).
  • Translate manufacturing workflows into clear problem statements, prioritized product requirements, and measurable outcomes.
  • Influence roadmap priorities across multiple product areas.
  • Ensure alignment between product investments and real customer needs.
  • Prioritize ecosystem investments such as adapters and key partners.
  • Define how agentic AI and automation apply to manufacturing planning (scenario-based decision support, exception-driven workflows, assisted or autonomous planning actions).
  • Partner with engineering and data science to shape AI-driven workflows, not just features.
  • Work closely with Product Managers (demand, supply, inventory, platform), Engineering, UX, and Data Science, Professional Services and Customer Success, and Sales and Product Marketing.
  • Shape value propositions and key go to market investments.
  • Act as manufacturing SME in customer and prospect engagements.
  • Engage directly with manufacturing customers and design partners.
  • Lead discovery workshops, use case validation, and feedback loops into product.
  • Ensure solutions reflect real-world constraints and trade-offs.
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