AI Sales Solutions Engineer

QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With the acquisition of Kavida.ai , QAD is fast-tracking its Champion AI roadmap — agentic AI “digital workers” that automate critical procurement and supply-chain workflows and free up to 50% of a buyer’s workday. 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 Role 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. 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. 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. 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. About QAD: QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace , achieving measurable productivity, resilience, and growth in just 90 days. QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. #LI-Remote