AI Sales Executive & Solutions Engineer

Before you apply

Job source

Himalayas

Applying on

himalayas.app

Workplace

Fully remote

US state

Nationwide remote

Category

Sales

Link last checked

Not checked yet

Posted

1 week ago

Closes

11/8/2026

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About the role

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 Account Executive & 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 other Account Executives, 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. You are a quota carrier with 3 or more years of experience selling Tech/AI/SaaS solutions. 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. Compens

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