AI Automation Specialist

Your Career Path in AI Transformation Consulting

Our AI Transformation 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.

• AI Automation Specialist: Hands-on in the automation itself: you tune agents, run automation sprints and take on your first customers end to end. Typically you bring up to 2 years of experience.
• AI Transformation Consultant: You own a portfolio of live customers as their run lead, including health, growth and account economics. Typically you bring 3+ years in transformation consulting, process improvement or ERP process ownership.
• Principal AI Transformation Consultant: Our most complex and sensitive accounts, at executive level, and you coach the consultants and specialists around you. Typically you bring several years of leading process change at customers.
• Next steps: Lead an AI Transformation Consulting team, or become a Client Partner on our strategic accounts.

Moves into Project Management or Customer Success Engineering are open at every level, and many of our people make them.

Your Mission

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 AI Transformation 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.

As an AI Automation Specialist

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 an AI Transformation Consultant on your accounts and build process and platform depth on real customers from the first month.

Key Responsibilities

Automation and performance

• 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.

Customers and adoption

• Prepare and run customer sessions that explain new capabilities and drive adoption.
• Use data to find where automation is leaking and which conversations to have with customers.
• Support your AI Transformation Consultant on customer health, and take on your first customers end to end.

Team and platform

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

What We're Really Looking For

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.
• Trusted Partner: 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 with 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.

What You Bring

• 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.

Benefits

• High ownership environment: you shape your projects, outcomes, and career path.
• Impact at scale: your work powers automation across global enterprises.
• Cross-functional exposure: work with engineers, data scientists, and business leaders daily.
• Real growth: fast-paced environment, steep learning curve, and structured career progression.
• Employee ownership: be part of a majority employee-owned company with a best-in-class stock option program.
• Amazing team: become part of a driven and collaborative group of innovators.
• Technology exposure: be at the forefront of AI and enjoy continuous learning opportunities.
• Visits & offsites: paid visits and stays at our HQ in Zurich, including collaborative team offsites.

Ready to make autonomous operations the new standard? Join us and own your impact.

Learn more about BLP and our values at https://blp.digital/company/careers.

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation

Listed on a job portal Nov 11, 2026

Listed on a job portal Nov 10, 2026