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. 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.

To make sure customers get the most of our product, you are able to build prototypes, discuss technical interfaces and their business processes.

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.

Tasks

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…