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Jobs / Pipedrive

Principal AI/ML Scientist & Engineer

Pipedrive·Germany, Berlinsenior

In short

  • →Líder técnico en IA/ML que construye productos reales para un CRM con inteligencia artificial.
  • →Diseña sistemas agente autónomos y motores de razonamiento en tiempo real usando LLMs y RAG.
  • →Destacado por liderar equipos, escalar soluciones en producción y traducir ciencia en valor de negocio real.

Fluent English required (written and spoken)

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The questions they'll ask you

1. ¿Cómo diseñarías un sistema agente para automatizar tareas de seguimiento en CRM usando RAG y LangGraph?

2. ¿Qué métricas usarías para medir el impacto real de un motor de razonamiento en tiempo real en tu producto?

3. ¿Cómo equilibrarías rigor científico y velocidad de lanzamiento en un entorno con alta presión de entregas?

🔒 +7 more questions

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💵 USD · Remote · No visa

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What they ask for

  • ✓8+ años en ingeniería o ciencia aplicada con experiencia en ML en producción.
  • ✓Liderazgo comprobado de equipos de científicos de IA y engenieros.
  • ✓Experiencia hands-on en sistemas agente (ej. LangGraph), RAG y bases de datos vectoriales.
  • ✓Capacidad para construir soluciones iterativas que resuelvan problemas reales de usuarios.
  • ✓Conocimiento profundo de modelos y marcos agente, con enfoque en rendimiento y centricidad del cliente.
  • ✓Excelente sentido del producto y capacidad para influir en estrategias técnicas sin jerarquía directa.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

LangGraphRAGVector databasesLLMOpsLarge language modelsCRM dataProduction-grade systemsAgentic workflowsReal-time reasoning enginesAI-native CRM

Who should you write to at Pipedrive?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. We are looking for a Principal AI/ML Scientist & Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic "Builder-Scientist" - a technical leader who possesses deep scientific rigor but is fundamentally driven by the iterative shipping of data products that customers fall in love with. You will lead the technical strategy for AI/ML-based solutions designed to extract value from both structured and unstructured data, bridging the gap between advanced research and production-grade systems. Your impact will be measured through technical leadership, leverage, and the real-world business outcomes you enable. Your new adventure: Lead and mentor a team of Applied Scientists and AI/ML Engineers, fostering a culture of technical excellence and scientific rigor Lead the technical strategy for AI/ML-based solutions focused on extracting actionable value and insights from both structured CRM data and unstructured content Build the intelligence within our AI-native CRM, including the design of autonomous agentic workflows and real-time reasoning engines that execute business actions safely at scale Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment Apply deep scientific intuition to the design of AI systems, ensuring that models and data-intensive solutions are optimized for customer centricity and real-world performance Act as a technical authority and multiplier across the AI/ML and data ecosystem, shaping the AI engineering roadmap and setting the bar for how we leverage the modern AI stack Lead as a high-impact individual contributor on our most critical systems, balancing a deep love for building with the ability to delegate effectively and grow the team’s technical capabilities Does this sound like you?

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