Retorio GmbH

Working Student: AI Product Engineering - Data (m/f/d)

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

We are a dynamic AI start-up based in the heart of Munich, setting the global standard for AI Coaching. While most AI companies are working on replacing human labor, we are unlocking the uniquely human strengths that drive lasting business outcomes for our enterprise clients. Our in-house AI technology is empowering our clients and their employees to unlock their full potential and coach holistic, customer focused communication. Think science-driven AI, avatars, global sales & service teams. Join our international team that is not just building a human-centric product, but redefining customer relationships.

About the role (Munich, onsite, ~20 hrs/week, 5 months): You own our data layer. The tables, views, and pipelines that answer the questions we keep asking are yours. Every time we change logic or launch something, we see the clean before-and-after instead of digging by hand. On the product side, you take ideas from our roadmap and turn them into shipped features, with AI agents and the newest tooling as your accelerators. This is build-the-future work, not ticket-closing.

Tasks

Building our analytics and metrics layer from the ground up: version-controlled metric definitions, tested transformation models, and pipelines that both humans and our AI can query

Pulling outside sources in and tying them to product behavior, so every launch and logic change is measurable

Building product features end to end with our engineering team, from data model to shipped result

Using AI agents, MCP, and tool-calling to multiply what you can build, including agents that drive and test the product like a real user

Making product decisions with our PM, building them, and owning the outcome

Requirements

Enrolled student in Computer Science, Data Science, or a related field

Comfortable with SQL and Python

You think in products, not tickets: you care what a feature does for the user, not just that the code runs

Genuinely into agents, LLMs, MCP, and the current wave of AI tooling

You like clean data and shipping things that work

Comfortable working in English

Bonus points:

You have built something with agents, MCP, or AI coding assistants already

You have wired up external APIs before

Benefits

Above-average compensation

Public transportation benefits

Flexible hours that fit around your studies

Real ownership from day one: you own outcomes, not tasks, across our data layer, product features, and AI agents

A small, international team where your work reaches enterprise clients fast

Full freedom to experiment with the newest AI tools and shape how we build

The option to extend beyond the initial engagement if it works for both sides

Come build with us. Send us your CV and a line about something cool you've built.

Retorio is an equal opportunity employer. We value different backgrounds and perspectives and encourage everyone who fits the profile to apply.

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Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT Data Analysis MySQL Python Sales SQL remote

Likely questions

  1. Tell us about work you have done that is close to the Working Student: AI Product Engineering - Data (m/f/d) role.
  2. How would you approach your first 30 days at Retorio GmbH?
  3. Which of Data Analysis, MySQL and Python have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, MySQL and Python.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Working Student: AI Product Engineering - Data (m/f/d) role because I can bring practical experience in Data Analysis, MySQL and Python, learn the team quickly, and contribute to the outcomes Retorio GmbH needs from this hire.

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