AI Sales Solutions Engineer

QADAtlanta, GA
Remote

About The Position

Champion AI is the strategic future of QAD | Redzone, and we are building a dedicated AI division to own it — this is where the company’s attention, investment, and ambition are concentrated. The strategy and the technical foundation are built; we need solution designers who can execute it and scale it across customers. There has never been a better moment to sit at the frontier of agentic AI for manufacturing. We are assembling a small team of operators to capture it, and this role helps define what “great” looks like. The AI Sales Solutions Engineer is a solution designer. You walk into a customer conversation, understand their end-to-end process, and assemble an agentic solution to fix it — without engineering involvement. You sit on top of a pre-built foundation — data, semantics, an agent platform, and a library of persona agents. You configure within it; you don’t build it. The platform exposes configuration through natural language and drag-and-drop, so your edge is domain fluency and solution-design instinct, not code.

Requirements

  • 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. The agent platform will feel familiar.
  • 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.

Nice To Haves

  • 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.

Responsibilities

  • Working hand-in-hand with the Account Executive, you take a qualified opportunity and turn it into a working agentic solution.
  • Run process discovery workshops: sit with champion users to map any of the standard enterprise processes (P2P, S2C, O2C, P2M, F2P, R2R) — current state, KPIs, manual effort, bottlenecks, and target state.
  • Design the agentic solution: decide which agents, working together, fix the customer’s process — and recognize whether it’s a greenfield build or a brownfield plug-in to an existing system (SAP, Ariba, Coupa, Jaggaer).
  • Map KPIs to the platform: confirm the system has the data and the business context to measure what the customer actually cares about.
  • Configure each agent: set triggers, decision logic, exceptions, KPIs, data sources, communications, company-specific rules, and hand-offs — all in natural language and drag-and-drop, no code.
  • Present the solution: pitch anchored in business outcomes — OTIF, working capital, cycle time, cost reduction — worked backwards to the agents that achieve them.

Benefits

  • PTO
  • 401K matching
  • Healthcare/Medical Insurance plans
  • health
  • dental
  • vision
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