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.

This role is designed to grow into a Product Owner position within 6 to 9 months. You will be the most senior technical person on the customer-facing side and the voice of the customer in our product decisions.

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 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.

Product ownership (growing over time)

• Translate customer learnings into structured requirements, user stories and acceptance criteria

• Participate in backlog refinement and sprint planning with the Fullstack and AI/Optimization teams

• Prioritize customer requests against roadmap goals and communicate trade-offs to customers

• Run product discovery sessions with planners and supply chain leads

• Gradually take ownership of a defined product area

Team

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).

Our team members are very senior (~10 years of experience) and driven to build innovative and valuable solutions for our customers. You can expect to have competent team mates.

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.