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QADPosted 3 weeks ago

AI Sales Solutions Engineer

$100,000–$140,000 year

RemoteUnited States

Full TimeLargeComputer Software

Job Summary

Conduct end-to-end process discovery workshops with champion users to map standard enterprise workflows like P2P, S2C, O2C, and plan-to-make. Design agentic solutions by selecting persona agents to fix customer processes, either as greenfield builds or brownfield plugins to existing systems such as SAP and Ariba. Configure triggers, decision logic, and data sources within a natural-language, drag-and-drop platform to automate procurement and supply-chain tasks. Present business outcomes anchored in metrics like OTIF and working capital, working backwards to the specific agents that achieve them. Collaborate closely with Account Executives to turn qualified opportunities into working solutions without engineering involvement.

Required Qualifications

  • Enterprise domain fluency: operational, end-to-end working knowledge of at least two of P2P, S2C, O2C, P2M, F2P, R2R — not just a consulting view.
  • The deepest value sits in plan-to-make and procure-to-pay.
  • Solution-design thinking: ability to decompose a vague business outcome into agents and data flows, and to know when one agent suffices and when several are needed.
  • Low-code / natural-language comfort: hands-on with tools like n8n, Zapier, or Make.
  • Customer-facing credibility: workshop facilitation and executive-level presentation.
  • Self-starter: if a solution pattern or workshop framework doesn't exist yet, you create it. If a document is missing, you write it.
  • Resourceful: you pull in the right people — your AE, Product, and Customer Success — to move a deal forward and get the customer to value.
  • Builder's mindset: you take a strong foundation and a playbook and extend them as the platform matures, rather than waiting for every process to be defined for you.

Desired Qualifications

  • Background at a major ERP vendor or process consultancy (SAP, Oracle, Coupa, Ariba, or a Big Four firm).
  • Hands-on experience with AI tooling.
  • Industry depth in manufacturing, particularly tier-one suppliers.

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