Senior Solutions Engineer AI & Operations Research for Planning/Scheduling

akeno • Germany
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AI Summary

Lead the implementation and support of AI-native production planning and scheduling software for process industries and pharma manufacturing. Ensure customer success and feed back into product development. Collaborate with customers and internal teams to design and implement solutions.

Key Highlights
Lead solution design and implementation phases
Co-create solutions with customers and internal teams
Build prototypes and discuss technical interfaces
Own the hypercare phase and act as primary point of contact
Key Responsibilities
Lead the solution design and implementation phases of our product at customer locations
Co-create solutions with our customers and internal development teams
Write own code and data analysis based on operations research approaches in supply chain
Technical Skills Required
Coding in Python Postgres Knowledge and experience in applied production planning and scheduling problems Methodological knowledge about optimization and decision making technologies
Benefits & Perks
Generous Annual Compensation
35-40 Hours Working Week
Relocation Package

Job Description


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 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 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
  • 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)
  • 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:

  • Generous Annual Compensation
  • 35-40 Hours Working Week - Supporting work-life balance without compromising impact
  • Relocation Package - Full support, including relocation assistance and accommodation guidance
  • Visa Sponsorship - Comprehensive support throughout the process
  • Wellpass Gym Membership - Access to hundreds of fitness and wellness options for just €10/month
  • Job Ticket - Subsidized public transport to keep your commute affordable and stress-free
  • German Language Courses - Learn or improve your German with our supported language program
  • Snacks, Drinks & Great Coffee - Always available to keep you fuelled and focused
  • Modern Office with a View - Work from our beautiful Hamburg office with panoramic city views
  • Supportive & International Team - Join a warm, open-minded group of colleagues from around the world
  • Real Ownership - You'll have space to take initiative and make a tangible impact
  • Flexible Working Hours - Because we understand that life and studies don't always fit a 9-5
  • Regular Team Events - From lunches to offsites—we celebrate the wins (big and small) together

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