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akeno

AI-driven production planning using real-time data

Senior Solutions Engineer - Production Planning & Scheduling

Implementation & Technical Account ManagementUpdated on Nov 12
Full-timeHamburg, Germany

About the Job

Requirements

  • Several years of experience in or close to manufacturing operations, ideally in the process industries such as chemicals, pharma, or food and beverage.
  • Applied experience with production planning, scheduling, or supply chain problems, such as from a supply chain, operations, or analytics role in industry.
  • Strong hands-on skills in Python and SQL, including building analyses, prototypes, and data pipelines.
  • Methodological knowledge of optimization and decision-making approaches from operations research.
  • Experience taking solutions end to end, from the first prototype through go-live and hypercare.
  • Understanding of data flows between ERP/MES and planning applications, and experience debugging integrations and APIs.
  • Confidently leading workshops and working with senior stakeholders, including saying no to customers constructively.
  • Fluent German (C1 or above) for customers in the DACH region, and fluent English for internal communication.
  • Willingness to travel to customer sites.

Responsibilities

  • Lead solution design and implementation at customer sites for planning, scheduling, and execution control in production environments.
  • Run requirements and solution design workshops with planners and supply chain leads, on site and remotely.
  • Co-create solutions with customers and development teams.
  • Write code and data analyses using operations research approaches in supply chain.
  • Build internal prototypes with AI coding assistance, such as a small optimizer for loading dock scheduling using Claude Code.
  • Lead and partly implement data integrations with customer systems such as ERP and MES.
  • Own the hypercare phase, 4–8 weeks after go-live, as the main point of contact; triage issues with colleagues and coordinate with engineering.
  • Build and maintain configuration documentation for each customer, including what was set up, why, and known edge cases.
  • Turn customer learnings into clear requirements and feed them back to product and development teams.
  • Prioritize customer requests and explain trade-offs to customers constructively.

Desired Qualifications

  • Knowledge of ERP planning and scheduling functions, such as SAP PP/DS or MRP.
  • Experience with simulation, process modeling, or statistical methods.
  • Experience in agile teams, writing user stories, and acceptance criteria.

About the Company

akeno

AI-driven production planning using real-time data

Akeno provides AI-driven solutions to optimize production planning for chemical, pharmaceutical, and process-manufacturing facilities. It uses real-time shop-floor data and automation to generate production plans that reflect current operations, and it trains AI models on historical data to tailor planning to each client’s processes. The system plugs into existing software and creates intuitive dashboards that help planners replan quickly and spot bottlenecks before they occur. Unlike general software vendors, Akeno focuses on real-time data integration, end-to-end optimization, and secure, seamless system integration for large manufacturers.

Company size
11-50
Company stage
Seed
Total funding
$5M
Headquarters
Hamburg, Germany
Founded
2021

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