1 month ago
Atlanta, GA, USAMid Level
Base Salary
$100k - $140k/yr
Responsibilities
- Partner with Account Executives to convert qualified opportunities into working agentic AI solutions.
- Run process-discovery workshops covering current states, KPIs, manual effort, bottlenecks, and target states.
- Design agentic solutions and determine whether they should be greenfield builds or brownfield integrations with existing systems.
- Map customer KPIs, data, and business context to the platform.
- Configure agents, including triggers, decision logic, exceptions, KPIs, data sources, communications, rules, and hand-offs, using natural language and drag-and-drop tools.
- Present solutions based on business outcomes such as OTIF, working capital, cycle time, and cost reduction.
- Create solution patterns and workshop frameworks as the AI division and role develop.
Requirements
- Operational, end-to-end working knowledge of at least two of P2P, S2C, O2C, P2M, F2P, and R2R, with particular value placed on plan-to-make and procure-to-pay.
- Ability to decompose business outcomes into agents and data flows and determine when one or multiple agents are appropriate.
- Hands-on familiarity with low-code or natural-language tools such as n8n, Zapier, or Make.
- Experience facilitating customer workshops and presenting to executives.
- Self-starter, resourceful, entrepreneurial approach with the ability to create frameworks and documentation when needed.
- Preferred background at a major ERP vendor or process consultancy, including SAP, Oracle, Coupa, Ariba, or a Big Four firm.
- Preferred hands-on experience with AI tooling and industry depth in manufacturing, particularly tier-one suppliers.
- Software-engineering depth, model-building expertise, and an ML or data-science background are not required.
Benefits
- $100,000-$140,000 USD compensation plus PTO, 401K matching, and healthcare/medical insurance plans.
- Health, dental, and vision insurance.
- Virtual-first remote work with flexibility to lead in-person customer workshops in the employee's market.
- Collaborative, growth-oriented culture with opportunities to shape the AI division and role.
Tech Stack
Make
Categories
Solutions Engineering
