Job ID: 866071Werkstudent*in Technical Customer Success - AI Products (m/w/d/x)Frankfurt, Berlin, Hamburg, Düsseldorf, Bonn, Munich, DarmstadtProfessionalWork-Study JobT-Systems International GmbHWorking student at TelekomDo you want to put the theory you have learned into practice and experience and help shape the digital world of tomorrow today? Then you've come to the right place! We can make and copy coffee ourselves. We are looking for working students like you who want to advance the connected world every day with team spirit and a willingness to innovate and perform!T-Systems International GmbHAt T-Systems, we offer our business customers the right system solutions for their digital business. With our portfolio, we ensure that digital transformation reduces complexity, saves costs and makes everyday work easier. Our focus is connectivity, digital, cloud & infrastructure as well as security - Let's power higher performance!About the positionWith the Industrial AI Cloud, T-Systems is building Europe's next-generation AI infrastructure, powered by thousands of NVIDIA GPUs, including the NVIDIA DGX B200 and B300. On this platform, our AI Foundation Services such as LLM Hub and SmartChat enable companies and public clients to use modern large language models and generative AI applications on sovereign, secure infrastructure.We are looking for a motivated working student Technical Customer Success - AI Products (m/f/d/x) in the area of Technical Customer Success to join our customer success team.You will support our customers from initial access to productive use of our AI products. Together with experienced customer success managers and solution architects, you'll support technical onboarding, analyze how customers use the platform, and build the tools and dashboards that our team uses to scale.The position suits you if you study computer science or a related subject, are confident in Python, are very interested in LLMs and enjoy working at the interface between technology and customers.Your tasks:We are looking for enrolled students to support our team in Darmstadt, Berlin, Bonn, Munich, Frankfurt, Hamburg or Düsseldorf from 01.01.2027 for at least 6 and maximum 24 months with up to 20 hours per week with the following tasks:You support the technical onboarding of our customers on LLM Hub and SmartChat, including API access, authentication, model selection and initial integrationsYou create sample code, notebooks, and integration examples (such as OpenAI-compatible APIs, RAG pipelines, agent frameworks) that help customers become productive fasterYou analyse technical questions and problems from customers, reproduce errors and prepare structured input for engineering and product.You develop Python-based data pipelines that combine usage, consumption and CRM dataYou work on customer and usage analyses, including dashboards and KPIs on adoption, consumption and plan utilizationYou automate recurring customer success processes such as usage reports, alerts, and onboarding communicationYou support customer workshops, enablement sessions, and training with demos and technical materialYou create and maintain technical documentation, FAQs, and self-service content for customersYou benchmark customer use cases (latency, throughput, token consumption) and prepare the results so that customers can work with themYou collect customer feedback and feature requests and translate them into structured input for the product teamThat's what you bring with youYou are enrolled in a bachelor's or master's degree in computer science, artificial intelligence, business informatics, data science, mathematics or a related subject.You also have the following knowledge and skills:You program securely in Python, e.g. for data processing, APIs, or automation scriptsYou understand the basics of LLMs and generative AI, such as prompting, RAG, tokens, and context windowsYou have experience with REST APIs and tools such as Postman, curl or JupyterYou have experience with SQL and data analysis libraries such as pandasYou know Git and Linux-based environmentsYou can explain technical topics in an understandable way for technical and non-technical target groupsYou work in a structured and independent manner and are interested in our clients' problemsYou speak and write fluent German and good EnglishYou have very good communication skillsYou're ready to travel up to 50% of your working timeAre beneficial (nice-to-have)Experience with OpenAI-compatible APIs, LangChain, LLamaIndex, or similar frameworksExperience with dashboarding or BI tools such as Metabase, Power BI, or comparable solutionsExperience with CRM systems, ideally SalesforceFirst experience in customer-related activities such as support, consulting, tutorials or pre-salesBasic knowledge of Docker and container conceptsUnderstanding LLM serving concepts such as rate limits, latency, throughput, and model hostingInterest in sovereign AI, data protection and regulated industries such as the public sector or healthcareWhat we offerDirect contact with companies and public clients using one of Europe's largest enterprise AI platformsPractice with current LLMs and AI productsInsight into how AI products are being launched, used, and scaled in large organizationsDevelopment at the interface of AI engineering, data analysis and customer managementCollaborate with experienced CSMs, solution architects, engineers, and product managersFlexible working hours that suit your studiesA collegial environment in which you take on real responsibility early onThis position is also available on a part-time basis.Severely disabled people are given priority if they are equally qualified.https://www.xing.com/companies/deutschetelekomaghttps://www.linkedin.com/company/telekomJob BenefitsWork-Life BalanceFlexible working hours that suit your studiesPart-time basis availableUp to 20 hours per weekWork EnvironmentA collegial environment in which you take on real responsibility early onProfessional DevelopmentDirect contact with companies and public clients using one of Europe's largest enterprise AI platformsPractice with current LLMs and AI productsInsight into how AI products are being launched, used, and scaled in large organizationsDevelopment at the interface of AI engineering, data analysis and customer managementCollaborate with experienced CSMs, solution architects, engineers, and product managers