AI Automation Specialist

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.

This is a full-time position based in Munich or Cologne. Following a comprehensive onboarding period at our HQ in central Zurich (minimum one month), you will work from your home location, with regular visits to customers across the DACH region.

Team collaboration matters a lot to us. You will regularly spend time with the team in person, in Zurich and at our hubs, for team days, all-hands and offsites. These visits are financially supported by blp.

Our Consulting team has a clear path, and we hire at every step of it. We place you according to your experience and the impact you have had, and we are explicit about what the next step requires.

For a process to run autonomously, four things have to line up: the technology, the process itself, the data behind it, and the people who work with it. That alignment does not happen at go-live. It happens in the months after, and that is where our Consulting team sits.

Our customers go live with a working solution. What they do not have on day one is an organization that operates in an AI-native way. Processes were designed around people checking things. Data was maintained well enough for humans to interpret. Teams know the old workarounds better than the new system. Our job is to lead that transition, from a process that is automated in parts to a process that genuinely runs on its own.

This is also where our AI meets the real world, and the real world is messy. When a customer goes live, our agents start processing their documents: invoices, order confirmations, delivery notes, in dozens of formats from thousands of suppliers, with layouts nobody has seen before. Most of it works immediately. The rest is where we come in.

A concrete example. Our AI learns a customer's business logic from their own history. By reading how they have accounted invoices in the past, blp infers the rules they have been applying and makes them explicit. Sometimes it cannot close the loop on its own, because the same kind of invoice was historically booked in two or three different ways and there is no consistent rule to find. In those cases blp asks. It needs the answer once, and every future case follows it. Making sure that answer arrives, and that it is the right one, is our job. Done well, each of those conversations builds trust and removes a category of manual work permanently.

You are hands-on in the automation itself. You configure and tune the agents so they work for a specific customer, dig into exceptions until you find the actual cause rather than patching the symptom, and run automation sprints: the push after each go-live to the target automation rate, and focused sprints our customers book to take their automation further.

You are in front of customers from early on: running the sessions that explain what a new capability does, taking the open questions our AI raises to the person who can decide them, and chasing down why automation is not landing, whether that is a master data problem, a habit, or a process rule that no longer makes sense. You use data-driven insights to decide which conversations to have with customers and which improvements to prioritize.

You work alongside a Consultant on your accounts and build process and platform depth on real customers from the first month.

• Configure and tune agents so they work for a specific customer's documents and processes.

• Drive and own the push after each go-live, from first live volume to the target automation rate, and deliver the automation sprints our customers book.

• Resolve the open questions our AI raises about a customer's business logic: take the cases to the customer, get the decision, and make it permanent.

• Drill into root causes when automation stalls, and tell a master data problem from a process rule from a behavior.

• Own customer health across your portfolio, measured first and foremost by automation rates.

• Act as run lead and escalation point for your customers once they are live.

• Challenge process rules that prevent automation, and drive improvements with the department leads who can decide.

• Enable the customer's core team to resolve issues themselves, and reduce what has to come to us at all.

• Spot expansion opportunities and bring in Sales, and work alongside the Client Partner on strategic accounts.

• Secure and monitor service consumption against the agreed budgets.

• Scope automation sprints and additional services, and make sure paid work is billed.

• Work with our Customer Success Engineers on technical topics, and feed recurring patterns back to Product.

• As a Consultant, direct the AI Automation Specialists working on your accounts.

The following key attributes ensure success in this team:

• Process Excellence – You understand core business processes, P2P and O2C, and you can see why a process is shaped the way it is and what it could look like instead.

• Client Hands – You bring customers with you. You are strict on the things that matter and flexible on the things that do not.

• Pattern Recognition – You notice that thirty exceptions are really one problem.

• Comfort in the Data – You go into the numbers yourself to find where automation is leaking.

• Ownership – You see a job through, and you take a customer from live to high automation without being told the steps.

• Growth Mindset – You learn fast, ask when you are stuck, and get better every month.

• Bachelor's or Master's degree in Business, Economics, Information Systems, Engineering, or a related field. Strong career changers are equally welcome.

• Up to 2 years of professional experience. Internships, working student roles or a first analytical job count.

• Structured, analytical way of working and solid command of Excel or equivalent.

• Confident in front of customers, from operational teams to their leadership.

• Fluent in German and English, spoken and written.

• Bonus points for experience with ERP systems, accounts payable or order management processes, data skills such as SQL or Python, or AI-driven SaaS.