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QAD

SaaS cloud ERP for manufacturers

AI Sales Solutions Engineer - Presales with AI focus

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USANo salary listed

About the Job

Requirements

  • Carry a sales quota and have at least 3 years of experience selling technology, AI, or SaaS solutions.
  • Have operational, end-to-end working knowledge of at least two of P2P, S2C, O2C, P2M, F2P, and R2R; experience in plan-to-make and procure-to-pay is especially valuable.
  • Be able to decompose a vague business outcome into agents and data flows and determine whether one or multiple agents are needed.
  • Have hands-on familiarity with low-code or natural-language tools such as n8n, Zapier, or Make.
  • Be credible with customers through workshop facilitation and executive-level presentations.
  • Model-building, software-engineering depth, and an ML or data-science background are not required.
  • Be able to create solution patterns, workshop frameworks, or documentation when they do not already exist.
  • Be resourceful in involving account executives, Product, and Customer Success to advance a deal and deliver customer value.
  • Be comfortable helping shape the role and division as the platform matures, rather than relying on rigid processes.

Responsibilities

  • Run process-discovery workshops with champion users to map standard enterprise processes, including current state, key performance indicators, manual effort, bottlenecks, and target state.
  • Design agentic solutions by selecting agents to address customer processes and determining whether the solution is a greenfield build or a brownfield integration with an existing system such as SAP, Ariba, Coupa, or Jaggaer.
  • Map customer key performance indicators to the platform and verify that it has the data and business context needed to measure them.
  • Configure agents by setting triggers, decision logic, exceptions, key performance indicators, data sources, communications, company-specific rules, and hand-offs using natural language and drag-and-drop tools without code.
  • Present solutions by connecting business outcomes such as on-time-in-full, working capital, cycle time, and cost reduction to the agents that achieve them.
  • Work with account executives to turn qualified opportunities into working agentic solutions.

Desired Qualifications

  • Experience at a major enterprise resource planning vendor or process consultancy, such as SAP, Oracle, Coupa, Ariba, or a Big Four firm.
  • Hands-on experience with AI tools.
  • Industry depth in manufacturing, particularly with tier-one suppliers.

About the Company

QAD

SaaS cloud ERP for manufacturers

QAD provides cloud-based ERP and manufacturing software that helps manufacturers and supply chain operators run operations more efficiently and resiliently. Its SaaS platform includes planning, production, procurement, inventory, and logistics modules hosted in the cloud, delivering real-time data and global collaboration. The software combines finance, manufacturing execution, demand planning, and supplier management in industry-tailored, cloud-first solutions to forecast demand, optimize production, and respond to disruptions. Its focus on manufacturing and supply chain optimization across 100 countries, with an adaptive cloud platform, sets it apart, and its goal is to help customers become Adaptive Manufacturing Enterprises that adjust quickly to changing conditions while delivering reliable service.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Santa Barbara, CA
Founded
1979

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