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.
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). The technical team is about 20 people in total.
Our team members 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.
Requirements
Relevant skills
- Coding in Python & Postgres
- Knowledge and experience in applied production planning and scheduling problems
- Ability to navigate Supply Chain processes in process industry
- Capability to lead and moderate workshops with customers
- Methodological knowledge about optimization and decision making technologies
- Talk to our partially German customers in fluent German (C2)
- Optional: Mathematical/ statistical understanding of non-deterministic solving technologies
Experience
- Experience leading internal or 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).
Languages
- German (Fluent, C2)
- English (Fluent)
Benefits
At
akeno
, we believe people do their best work when they feel supported, connected, and empowered. Here's what you can look forward to:
