Senior Solutions Engineer - AI & Operations Research for Planning/Scheduling - #2750977

Instaffo


Date: vor 1 Stunde
Stadt: Hamburg
Gehalt: €85,000 - €115,000 / Jahr
Vertragstyp: Ganztags
Instaffo
You are interested in the position as Senior Solutions Engineer - AI & Operations Research for Planning/Scheduling at akeno GmbH?

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Requirements

Please note that this position requires EU work authorization.

Language: German - Fluent (C1), English - Fluent (C1)

  • 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).

Activities

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.

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 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.

About The Company

We’re on a mission to help industrial companies unlock the full potential of their data by enabling real-time, autonomous decision-making in planning and scheduling processes.While data availability in process manufacturing continues to grow, much of it remains untapped. Our software changes that — transforming production scheduling across global factories through intelligent, data-driven automation.We’re proud to work with some of the world’s leading companies in the process industries, including BASF Colours & Effects, Sun Chemical, and many more.

With a recently completed funding round, we’re scaling rapidly — expanding our team and platform to support the next wave of growth. Backed by a strong five-year pipeline, we’re well-positioned to deliver long-term impact and sustainable innovation.

If you’re excited by complex systems, real-world impact, and building technology that powers the future of process manufacturing, we’d love to hear from you.

Click on "Apply" for details on the benefits, the team and the application process.

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