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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

14Open Positions

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Product Intern

Synthflow AI
Found 1 month ago
Location
Berlin, Germany
Duration (Months)
3 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Make
  • n8n
  • Zapier
  • APIs
  • webhooks

Soft Skills

  • Communication
  • systems thinking
  • ambiguity
  • agency

Job Description

Talk to customers to understand what they need, what's broken, and what's possible Build functional prototypes and MVPs using AI-native tools (Cursor, Lovable, Claude, v0) Design and build automations and integrations that connect our product to customer workflows—using tools like Make, n8n, Zapier, and direct API integrations Write product specs, user stories, and prioritization frameworks that the team actually uses Analyze product usage data to figure out what's working, what's not, and what to build next Research competitors, map the landscape, and surface insights that shape roadmap decisions Work with engineering and design to scope, ship, and iterate on features Pick up whatever needs doing. At a startup this stage, the job description is a starting point.

Requirements

  • Hands-on experience with the automation stack: Make, n8n, Zapier, or similar platforms—you've built real workflows, not just watched tutorials
  • You've used AI tools to actually build things—not just prompt for fun, but to ship something real
  • Comfortable working with APIs, webhooks, and connecting systems together
  • You think in systems: how features connect, where users get stuck, what the second-order effects are
  • Strong written and verbal communication in English; German is a plus
  • Comfortable with ambiguity—you can take a vague problem and turn it into a clear plan
  • Technical enough to speak credibly with engineers, curious enough to sit with customers
  • High agency: you don't wait to be told what to do

Related Field

  • Product

Related Subfield

  • Product Management

Languages

  • English

Nice to Haves

  • You've built something on your own—an app, a tool, an automation, a side project
  • Familiarity with agentic AI concepts: function calling, evals, RAG, tool use
  • Comfort with SQL, Python, or basic data analysis
  • Some understanding of B2B SaaS, how enterprise software is sold, or how voice AI works
  • Previous startup experience, even informal
▶Apply Now

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