Founding Product & Solutions Engineer (m/f/d)

United States Digital Space LLC

Garching bei München

Vor Ort

EUR 50.000 - 85.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Join an early-stage AI startup from TU
Work directly with the founding team
Solve real operational problems with企业
Contribute across product, technology,
Influence product and company
Take responsibility across the full流程
Develop your role according to your

Zusammenfassung

United States Digital Space LLC in Germany, an early-stage AI startup from the Technical University of Munich ecosystem, develops software for enterprise operations in supply chain, logistics and industrial workflows. You will work across product, engineering and customer projects to turn challenges into scalable automation.

Join customer sessions, map workflows, identify automation opportunities, build prototypes with APIs and AI tools, and support pilots.

Qualifikationen

  • Experience with Python, APIs, SQL, structured data, AI applications or workflow automation.
  • Strong analytical, communication and collaboration skills.
  • Background in Computer Science, Information Systems, Management and Technology, Industrial Engineering, Operations Research, Data or AI.
  • Proficient English; German is advantageous for client-facing work in Germany.
  • Experience with enterprise software, SAP or ERP systems, supply chain or logistics is beneficial.
  • Eligibility under the EXIST program is required.

Aufgaben

  • Join customer discovery sessions and map operational workflows
  • Identify automation opportunities and translate customer needs into product and technical requirements
  • Build and test prototypes using APIs, structured data and AI tools
  • Support customer pilots and implementations
  • Gather feedback and identify recurring patterns across projects
  • Contribute to product and company development

Kenntnisse

Python
APIs
SQL
Structured data
AI applications
Workflow automation

Ausbildung

Computer Science
Information Systems
Management and Technology
Industrial Engineering
Operations Research
Data
AI

Tools

SAP
ERP systems

Jobbeschreibung

the company is an early-stage AI startup from the Technical University of Munich ecosystem. We develop software for enterprise operations, focusing on supply chain, logistics and industrial workflows. Working closely with customers, we turn operational challenges into scalable automation.

TasksYou will work across product, engineering and customer projects.

  • Join customer discovery sessions and map operational workflows
  • Identify automation opportunities and translate customer needs into product and technical requirements
  • Build and test prototypes using APIs, structured data and AI tools
  • Support customer pilots and implementations
  • Gather feedback and identify recurring patterns across projects
  • Contribute to product and company development
Requirements

We are looking for a technically strong, curious and proactive person who enjoys solving unfamiliar problems and working directly with customers.

  • Experience with some of the following: Python, APIs, SQL, structured data, AI applications or workflow automation
  • Strong analytical, communication and collaboration skills
  • A relevant technical or analytical background, such as Computer Science, Information Systems, Management and Technology, Industrial Engineering, Operations Research, Data or AI
  • Strong English skills. German is an advantage for customer-facing work in Germany

Experience with enterprise software, SAP or ERP systems, supply chain, logistics or industrial environments is an advantage.

Individual eligibility under the EXIST program is required and will be assessed by the responsible university and funding authority.

Benefits
  • Join an early-stage AI startup from the Technical University of Munich ecosystem
  • Work directly with the founding team
  • Solve real operational problems with enterprise customers
  • Contribute across product, technology and customer projects
  • Influence product and company development from an early stage
  • Take responsibility across the full process, from discovery to implementation
  • Develop your role according to your strengths, interests and the needs of the company

We welcome applications regardless of gender, racial or ethnic origin, religion or belief, disability, age or sexual identity.

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