Working Student for Product Enablement

Working Hours: 20h/week | Duration: 6 months minimum | Start Date: June 2026 (or by mutual agreement)
Location: Munich – We are a hybrid work environment and are in the office 3+ days/per week.
Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category.
A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany, Hungary, Singapore, and Israel. Tulip has been recognized as a World Economic Forum Global Innovator, a 2024 Deloitte Technology Fast award winner, one of Energage's Top Workplaces USA, and one of Built In Boston's "Best Places to Work" and "Best Midsize Places to Work."
About You:
You're a Master's student looking for six months of hands-on work in customer enablement, AI tooling, and enterprise SaaS. You're comfortable using AI tools like Claude or ChatGPT for real work. You want to help shape how manufacturing customers — and the students who will become tomorrow's builders — learn to build on Tulip, as AI changes how people pick up new tools.
What skills do I need?
Currently enrolled in a Master's program in engineering, education, business administration, business informatics, or a related field
Self-starter with a hands-on mentality — eager to think for yourself, come up with ideas, push them, and get things done well
Genuine interest in how people learn to use new technology, and the ability to put yourself in a learner's shoes when designing content
Strong written and spoken communication in German and English — clear, structured, and adapted to the audience
Comfortable using AI tools (e.g., Claude, ChatGPT) for real work 

Nice to have:
Some exposure to manufacturing or life sciences environments
Prior experience creating learning content, video material, or technical documentation

Key Responsibilities:
Set up AI-based workflows (using tools like Claude Cowork) to manage Higher Education accounts and streamline content operations
Help design and deliver AI Process Engineer workshops — part of Tulip's effort to certify thousands of AI Process Engineers across our customer base
Build new Tulip University courses — draft scripts, record screens, prepare demo apps, and write step-by-step instructions
Update existing course content using AI-assisted workflows, and support Tulip University's LMS migration (asset preparation, tagging, importing)
Support Higher Education partners — answer platform questions, manage Salesforce records, analyze account usage, and draft an out-of-the-box curriculum for use in lectures and labs

Key Collaborators:
Product Enablement (direct supervision)
Product Operations
Higher Education partners — universities and academic contacts across Germany and Europe
Cross-functional Tulip teams across Product, Engineering, Marketing, and Solutions Engineering

Working At Tulip
We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered.
We're building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:
Direct impact on product and culture
Competitive benefits package including commuter benefits, learning and development stipend, team events, and catered lunches three days a week
Flexible work schedule
An inclusive, dog-friendly office with diverse and inspiring colleagues

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.
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