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Customer Success Intern

Blp Digital • Munich, Bavaria, Germany, Cologne, Dusseldorf

Job Description

Join BLP and help make the world’s business processes autonomous! Our agentic platform helps finance and operations teams worldwide remove manual work from their core business processes, so work runs end-to-end with greater control and significant productivity gains. Today, over 550 enterprise customers use BLP across 1,300+ deployed projects. In the processes we automate, customers achieve productivity improvements of 5 to 10 times. To date, BLP remains majority employee-owned, with Goldman Sachs holding a minority stake as a growth investor. Our success is driven by deep expertise in technology and business processes, a superior product with strong product-market fit, reflected in an expanding customer base that includes Fortune 500 companies. BLP is one of Switzerland's fastest-growing SaaS scale-ups; we are now entering our next phase of growth. From our headquarters on Zürich's Bahnhofstrasse, we're expanding globally, with a growing presence across Europe and North America. Join us and help make autonomous operations the new standard. Location This is a six-month internship based at our HQ in central Zurich or in Munich. This is an in-person role. You learn this job by sitting next to people who already do it, and that does not work remotely. Your Mission Think of this role as the modern Sherlock Holmes: new puzzles to solve and new people to work with, every single day. You work exactly at the intersection of technology and business, and that is not a figure of speech. On one side you are in the system, in the data, working out what actually happened. On the other you are with a finance team, explaining it and agreeing what to do. You need both, every day. And you work across the whole customer journey, not in one corner of it. Our internship touches all three parts of how we serve customers after the contract is signed: Handling client requests. Our customers run their finance and supply chain processes on blp. When something does not behave the way they expected, a document that did not post, an exception that should have resolved itself, a number in a dashboard that looks wrong, they write to us. You investigate what the system did, what the data says and what the customer's process actually requires, and you fix it. You have the access and the authority to change configuration when that is the answer, and when it is not, you know who to bring in and what to give them. What reaches the customer is you: your answer, your explanation, your judgment about what to do next. Improving automation. A process does not become autonomous on the day it goes live. You work with our Consulting team on live customers: finding out why documents still need a human touch, tuning how our AI agents handle them, and helping customers take the next step towards processes that genuinely run on their own. Supporting delivery. You join our project teams as they bring new customers live: preparing configuration, testing workflows, and helping make a go-live land on time. The role grows with you. You start where the pattern is known and someone is close by. As your expertise builds you take on harder cases, and your exposure to customers grows with it: from written answers, to calls, to being in the room when a customer wants their most pressing problem solved now. This goes well beyond tickets. We are a fast-moving organization and a lot of what needs to exist does not exist yet. You will take on and drive initiatives that make the whole operation scale: a recurring problem that should be solved once rather than fifty times, a piece of tooling that does not exist, a way of working that has outgrown itself. Interns here have shipped things that the team still uses. How we think about ownership. You will be given real work with real consequences, early, because that is the only way anyone learns this job properly. The other half of that is judgment: explore and decide for yourself where you can, and pull someone in when something critical is on

Job Reference ID: CF-180230 • Posted on CloudFrame Job Scanner