Working Student AI & Process Automation (f/m/x)
Company Description
At Seven Senders, we connect people and markets, making international shipping simple. We are Europe’s leading platform for cross-border parcel delivery, supporting e-commerce companies in scaling internationally and reaching millions of consumers across borders. By combining cutting-edge technology with strong local carrier networks, we ensure parcels move efficiently from warehouse to doorstep — whether speed or cost efficiency is the priority. Founded in Berlin in 2015, Seven Senders has grown into a team of 200+ logistics and tech experts. Today, we proudly work with clients such as Flaconi, Shop Apotheke, and Tamaris, shaping the future of European delivery together.
Job Description
AI is one of our top strategic priorities at Seven Senders, and we are serious about making it real. We have launched a dedicated AI Taskforce to help our teams identify, design, and implement use cases that make everyday work simpler and faster. As a Working Student in our AI Taskforce, you are at the center of that effort, not just supporting it. You will work directly with business teams across the company — attending workshops to understand where the friction is, translating that into concrete requirements, and building solutions hands-on. You will be a builder and a bridge: technical enough to execute, structured enough to define, and communicative enough to work side-by-side with colleagues who do not share your technical background. Your main responsibilities: Partner with teams across departments to turn AI use cases with measurable impact into working solutions from scoping to production Translate process knowledge from operational colleagues into clear, executable requirements Build automation hands-on using LLMs, no-code/low-code platforms (Claude, Make.com, or similar), scripts, and APIs Measure what you ship: track time saved, error rates, and volume handled to verify solutions actually deliver Document every engagement thoroughly so that solutions can be maintained, understood, and iterated independently
Qualifications
This is what you need to succeed: Currently enrolled in Computer Science, Software Engineering, Data Science, or a closely related technical degree (Bachelor's or Master's) Eagerness to learn & fully leverage agentic AI using LLMs and automation platforms (Make.com, or similar); you pick them up fast and go beyond the surface, and actively track what's new in the field Comfortable with APIs and scripting (Python or similar); you understand how software systems connect and exchange data You explain technical concepts clearly to non-technical colleagues, and you're genuinely good at it Structured, independent, and action-oriented; fluent in English (German is a plus) Additional Information What we offer: Flexible&Hybrid: Our office is in Berlin, but in this role, you can work anywhere within Germany. If you wish, you can work from almost anywhere for up to 2 months per year. And if you wish, you can work from almost anywhere for up to 2 months per year. Benefits: We offer company lunches twice per month, a corporate benefits platform, and German language courses. Mission Zero: Climate-neutral and long-term impact. With our green initiatives, we are reaching climate neutrality for ourselves, and hopefully, we're inspiring the entire logistics sector to join us to create a sustainable future. Vibrant Culture & Community: We embody collaboration, open doors, and no-fuss results focus, and we are successful with our data-driven and efficient working approach. We like to celebrate and come together, and we strive for a workplace buzzing with energy and camaraderie, highlighted by regular team events, and company-wide celebrations. Inclusive Environment: We value diversity and welcome all applicants regardless of ethnicity, religion, national origin, sexual orientation, gender identity, age, or disability. If you meet the above qualifications and are excited about the opportunity to join our team, we encourage you to submit your application today. Please scroll down to submit your English CV. We look forward to hearing from you! Division: General & Administration