Solutions Lead

CADDiChicago, IL
23h

About The Position

You will be on the bleeding edge of AI, helping transform manufacturers and innovating as you go. US manufacturing is a powerhouse often running on legacy systems and spreadsheets; you will change that. Not only will you be helping customers, but you will be the chief pathfinder for our product and technology teams as you discover repeatable solutions. Lead deep discovery and customer transformation that coexist with, and leverage CADDi’s AI products and data platform. Build a solutions motion that starts bespoke and becomes repeatable offerings and product features. Architect solution logic: Design the logical architecture for custom applications, defining data sources, transformation rules, user workflows, and success criteria. Deploy custom applications: Own the lifecycle from "ambiguous problem" to "production value" on the CADDi platform; translate technical capabilities into operational reality, partnering with our Solutions engineers. Drive adoption and value realization: Pivot from delivery to the factory floor to ensure the tool works for the user and delivers massive impact (e.g., "reduced RFQ cycle time by 50%"). Engagement with management layers of customers: Establish engagement with management layers of customers (QBRs/value reviews), and provide value realization frameworks and expansion motions aligned to measurable business outcomes. Partner cross-functionally: Work side-by-side with Solutions Architects and Product Management to turn custom wins into scalable features. 0→1 focus: Create new frameworks and accelerators for US manufacturing challenges. This is not a project management role; it is a solution creation role. What Your Days Will Look Like Deep discovery: Spending time with client teams (Procurement, Engineering, Quality) to understand workflows and their current reality. Solution design: Whiteboarding future states, mapping drawing data to supplier spend to predict outcomes. Collaborative delivery: Partnering with technical teams to build feasible, high-impact solutions, then driving user adoption on the ground. Executive storytelling: Communicate crisply with executives to translate technical progress into P&L impact.

Requirements

  • 5-10 years in manufacturing operations: Deep understanding of BOMs, RFQs, and supply chain data. You have lived the pain of these workflows and know why "clean data" is a myth.
  • Consulting toolkit: Experience at a top-tier management consulting firm or high-growth company; ability to structure ambiguity, communicate crisply with executives, and drive projects to completion.
  • Technical fluency: Data and AI literate. You can explain RAG concepts to a procurement manager and "dirty data" challenges to an engineer. You bridge the gap between operations and code.
  • Problem solving: Track record of solving challenging operational problems by treating processes as systems to be optimized.
  • Education: B.S. in Mechanical Engineering, Aerospace Engineering, Business Administration (with manufacturing experience), or equivalent.
  • U.S. citizen or green card holder.
  • Willingness to travel 50%.

Responsibilities

  • Lead deep discovery and customer transformation that coexist with, and leverage CADDi’s AI products and data platform.
  • Build a solutions motion that starts bespoke and becomes repeatable offerings and product features.
  • Design the logical architecture for custom applications, defining data sources, transformation rules, user workflows, and success criteria.
  • Own the lifecycle from "ambiguous problem" to "production value" on the CADDi platform; translate technical capabilities into operational reality, partnering with our Solutions engineers.
  • Pivot from delivery to the factory floor to ensure the tool works for the user and delivers massive impact (e.g., "reduced RFQ cycle time by 50%").
  • Establish engagement with management layers of customers (QBRs/value reviews), and provide value realization frameworks and expansion motions aligned to measurable business outcomes.
  • Work side-by-side with Solutions Architects and Product Management to turn custom wins into scalable features.
  • Create new frameworks and accelerators for US manufacturing challenges.
  • Spending time with client teams (Procurement, Engineering, Quality) to understand workflows and their current reality.
  • Whiteboarding future states, mapping drawing data to supplier spend to predict outcomes.
  • Partnering with technical teams to build feasible, high-impact solutions, then driving user adoption on the ground.
  • Communicate crisply with executives to translate technical progress into P&L impact.
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