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Vacantes / BLP Digital AG

AI Automation Specialist

BLP Digital AG·Munichjunior

En corto

  • →Especialista en automatización con IA que ajusta agentes y lleva procesos a autonomía completa.
  • →Días típicos: depurar documentos, entrenar IA con ejemplos reales, trabajar con clientes en DACH para resolver casos complejos.
  • →Lo destacado: no se trata solo de lanzar software, sino de transformar cómo las empresas operan con IA.

Fluent written and spoken English (required for customer and team collaboration)

Postularme en la empresa ↗Compartir por WhatsApp

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

Las preguntas que te van a hacer

1. ¿Cómo abordarías un caso donde una factura llega con un formato completamente nuevo que tu IA no ha visto nunca?

2. Describe un ejemplo donde tuviste que inferir reglas de negocio a partir de datos históricos sin documentación.

3. ¿Qué harías si un cliente rechaza la decisión de tu agente, pero el historial muestra un patrón inconsistente?

🔒 +7 preguntas más

Sin tarjeta. Subís tu CV y en ~1 minuto tenés el dossier completo.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

💵 USD · Remote · No visa

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¿Qué piden?

  • ✓Experiencia hasta 2 años en automatización, consultoría o procesos empresariales.
  • ✓Capacidad para trabajar con datos semiestructurados y formatos variados (facturas, entregas, etc.).
  • ✓Habilidad para explicar procesos complejos de manera clara y técnica.
  • ✓Disposición para viajar a clientes en DACH y estar presente en reuniones presenciales regulares.
  • ✓Experiencia previa con sistemas ERP o procesos financieros (único requisito clave).
  • ✓Capacidad para aprender rápido y adaptarse a contextos empresariales cambiantes.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

LLMsAgent-based AIDocument AIOCRProcess MiningERP SystemsSaaS PlatformsData AnnotationAI Training PipelinesInternal Automation Tools

¿A quién escribirle en BLP Digital AG?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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 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. Your Career Path in Consulting 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. AI Automation Specialist: Hands-on in the automation itself: you tune agents, run automation sprints and take your first own customers end to end. Typically you bring up to 2 years of experience. Consultant: You own a portfolio of live customers as their run lead, including health, growth and account economics. Typically you bring 3+ years in consulting, process improvement or ERP process ownership. Senior 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 a 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 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.

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