Senior Solutions Engineer - AI & Operations Research for Planning/Scheduling

We are building the next generation of AI-native production planning and scheduling software primarily for process industries and pharma manufacturing. Our product is deep, domain-complex, and deployed at large enterprise customers where the planning process is mission-critical.

We are looking for a Senior Solutions Engineer AI & Operations Research for Planning/Scheduling who will own the full post-sales lifecycle: from implementation handover through go-live support, steady-state operations, and continuous value delivery. This is not a consulting role. Your job is to ensure customers succeed with our product — and to systematically feed what you learn back into the product so that every implementation gets easier than the last.

You will be the most senior technical person on the customer-facing side, bridging product, engineering, and the customer’s operational reality. You will shape how we build our support and enablement function as we scale.

You will be reporting to our CTO and work closely with our product development teams. Your main focus is to unite approaches from operations research with AI and simulation technology to help simplify running our customers factories optimally.

• Lead the solution design and implementation phases of our product at customer locations for planning, scheduling and execution control in production environments.
• Co-create solutions with our customers and internal development teams.
• Write own code and data analysis based on operations research approaches in supply chain.
• Build internal prototypes leveraging AI coding assistance (e.g. Claude Code to build a small optimizer for loading dock scheduling).
• Lead and partially implement data integrations to customer data sources.
• Own the hypercare phase (4–8 weeks post go-live): act as primary point of contact, triage issues together with colleagues, coordinate with engineering.
• Build and maintain configuration documentation for each customer — what was set up, why, and what the known edge cases are.
• Travel to customer sides to conduct requirements and solution design workshops.

• Experience leading customer facing software projects.
• Deep domain understanding of manufacturing operations — ideally in process industries, pharma, chemicals, or food & beverage. You know what a production schedule looks like, why it breaks, and what planners care about.
• Strong technical skills: you can read SQL, navigate APIs, debug integrations, and understand data flows between ERP/MES systems and a planning application.
• Strong communication skills to effectively steer customer workshops and implementation projects.
• Knowledge about typical ERP systems in the domain of planning and scheduling (e.g. SAP ePP/DS; typical MRP elements).
• Fluent German and English (customer-facing in DACH, internal communication in English).

You will be part of the Solution Delivery Team working close with our customers and the rest of our Tech Teams (Fullstack, AI/Optimization & DevOps). The technical team is about 20 people in total.

Our team members are all very senior (~10 years of experience) and driven to build innovative and valuable solutions for our customers.

We have regular team activities aside of our typical work (game nights, poker, sailing, gym and more), that everybody is of course free to participate it.

To learn more about our 3-step recruiting process and check out our Tech Radar, visit akeno.ai