Job DescriptionChampion 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 RoleThe
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.
What You'll Do- 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.
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. The agent platform will feel familiar.
- Customer-facing credibility: workshop facilitation and executive-level presentation.
Nice-to-Have- 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.
Not Required
Model-building, software-engineering depth, or an ML / data-science background. Engineering owns the platform; you own the solution.
Who Thrives Here- You are joining a small, entrepreneurial team - not a delivery machine with a ticket queue. We want self-starters who see the opportunity in agentic AI and move without waiting for instructions.
- 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.
- If you need rigid structure and a clearly defined process for every situation, this is not the right place. If you want to shape how this role and this division are built, it is.
Additional Information- Compensation. $100,000- 140,000 USD ,
- Plus a strong benefits package inclusive of PTO, 401K matching, and Healthcare/Medical Insurance plans.
- Virtual-First Culture: work remotely, with the flexibility to lead in-person customer workshops in your market.
- Atmosphere of Growth: join a team where idea-sharing is prioritized over hierarchy, at the leading edge of agentic AI for manufacturing.
- Comprehensive Benefits: health, dental, vision, PTO, 401K matching, and a collaborative culture of smart, hard-working people.
#LI-Remote
