Quick Summary
identify what blocks automation, and pick the right way to solve each blocker. Work with operational teams on enablement and adoption, so people work efficiently with blp rather than around it.
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 occasional visits to customers across the DACH region.
As team collaboration is of great importance to us, we highly encourage team members to join us in Zurich at least once a month. These visits are financially supported by BLP.
About the Role
~2 min readFor 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 this role sits.
Our customers go live with a working solution. What they do not have on day one is an organisation 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. Your job is to lead that transition, from a process that is automated in parts to a process that genuinely runs on its own.
That means working across every level of the customer's organisation. With operational teams you build understanding and find where automation is actually blocked. With department leads you challenge the process rules that make full automation impossible, and drive the decisions that change them. And you use the right lever for each blocker, because they are all different: some are a data clean-up you coordinate with the customer, some are a training and adoption gap, some need a custom agent, and some are structural and belong with our engineering teams.
You do not do this alone. You enable the customer's core team to solve their own issues, you work with our Customer Success Engineers on the technical side, and you use the Customer Success Manager to get decisions made where you need commercial weight. For our smaller customers, where there is no Customer Success Manager, you are the escalation point yourself.
You own customer health. Your sharpest measure of it is the automation rate.
Responsibilities
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Own customer health across your portfolio, measured first and foremost by automation rates.
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Lead the transition to AI-native ways of working: identify what blocks automation, and pick the right way to solve each blocker.
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Work with operational teams on enablement and adoption, so people work efficiently with blp rather than around it.
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Challenge process rules that prevent automation, and drive improvements with the department leads who can decide.
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Coordinate data clean-up with the customer where master data quality is capping what automation can reach.
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Enable the customer's core team to resolve issues themselves, and reduce what has to come to us at all.
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Identify where a custom agent solves the problem, and where the issue is structural and belongs with our engineering teams.
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Collaborate with Customer Success Engineers on technical topics, and with the Customer Success Manager to get decisions made.
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For customers without a Customer Success Manager, act as the escalation point for SLA breaches and own continuity of operations.
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Direct the AI Automation Specialists working on your accounts.
The following key attributes ensure success in this role:
Process Excellence – You understand core business processes deeply, 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, you understand the context people are working in, and you have more than one way of convincing them.
Ownership & Autonomy – You take a customer from live to high automation without being told the steps.
Comfort in the Data – You go into the numbers yourself to find where automation is leaking.
Problem Solving & Critical Thinking – You separate a configuration symptom from a process cause, and pick the right lever for each.
Master's degree in Business, Finance, Engineering, Computer Science, or a related field.
3+ years of experience in consulting, process improvement, shared services, or ERP process ownership.
Deep working knowledge of at least one core business process end to end, purchase-to-pay or order-to-cash. This is a prerequisite, not a nice to have.
Demonstrable experience changing how a finance, procurement or supply chain team actually works, not only advising on it.
Strong analytical skills. You are comfortable working with process and transaction data directly.
Confident facilitating workshops with operational teams and presenting to their leadership.
Fluent in German and English, spoken and written.
Bonus points for experience with ERP systems, accounts payable or order management processes, or AI-driven SaaS.
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 programme.
Amazing team – become part of a driven and collaborative group of innovators.
Technology exposure – be at the forefront of emerging technologies and enjoy continuous learning opportunities.
Visits & offsites – paid visits and stays at our HQ in Zurich, including collaborative team offsites.
Learn more about blp and our values at https://blp.digital/company/careers.
Location & Eligibility
Listing Details
- Posted
- September 24, 2026
- First seen
- September 25, 2026
- Last seen
- September 25, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- September 25, 2026
Signal breakdown
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