• Design and deliver end-to-end AI solutions for manufacturing clients across the industrial value chain– architecting scalable, production-ready data pipelines and AI systems that combine domain knowledge with cutting-edge machine learning.

• Develop high-level technical architectures tailored to each client’s IT/OT landscape, ensuring seamless integration with existing systems and data infrastructure.

• Support pre-sales efforts by partnering with account managers, evaluating the feasibility of AI use cases, and providing technical leadership in crafting compelling proposals and RFP responses.

• Serve as the manufacturing domain expert in client engagements, applying deep process understanding to implement AI solutions that deliver measurable business value—from cost reduction to new digital revenue streams.

• Bridge strategy and execution by steering key AI initiatives, aligning use cases with industrial standards and operational realities, and guiding our research and engineering teams.

• Drive thought leadership in AI for manufacturing through industry engagement, business development support, and active participation in events, publications, and public forums.

You’re a confident, technically fluent professional who thrives at the intersection of industrial operations, AI/ML, and enterprise IT. With hands-on experience in manufacturing environments, you know how to translate complex operational challenges into data- and AI-driven solutions that deliver real business value.

You bring deep domain expertise combined with strong communication skills, and you’re comfortable navigating both technical discussions and strategic conversations – whether on the shop floor or in the boardroom.

You would be a great fit if you have:

• A degree in Industrial Engineering, Mechanical Engineering, Computer Science, or a related field, with solid exposure to AI/ML and data systems

• Practical experience with industrial operations and manufacturing processes, including OT/IT integration and systems such as MES, SCADA, PLCs, and IoT platforms

• A strong understanding of data and cloud architectures, and – ideally – hands-on experience building AI/ML systems using platforms like AWS, Azure, or GCP

• Deep understanding of AI/ML fundamentals and approaches, along with familiarity with data engineering best practices and tools used in production environments (e.g. Databricks)

• Experience integrating industrial data into AI pipelines while aligning solutions with operational constraints

• Proficiency in process mapping and requirements engineering, with familiarity in methodologies such as BPMN, SIPOC, or User Story Mapping 

• A strong consulting presence: you’re value-driven, persuasive, and skilled at framing AI opportunities during discovery and pre-sales conversations

• Experience managing diverse stakeholders and driving alignment to enable AI adoption and digital transformation in industrial settings

• Fluency in both German and English

• Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs.

• International Team: We are a dynamic and international team. 

• We offer Visa Sponsorship.

• Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation.

• Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy as well as working hours.

• AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team.

• Brand new office space: Bright and open office situated on the AI Campus in Berlin;

• Sabbatical leave;

• Hardware allowance:  We give you support to have all the equipment you would need to thrive in your job;

• Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club) or groceries (Edenred).