Principal AI/ML Scientist & Engineer

Pipedrive·UK, Londonlead

En corto

→Liderar el desarrollo de inteligencia artificial en un CRM de alto impacto, enfocado en soluciones prácticas y escalables.
→Diseñar y construir sistemas autónomos con IA (agentic workflows, RAG, LLMs) que mejoren la experiencia del usuario en tiempo real.
→Ser un líder técnico clave que combina profundidad científica con capacidad de ejecución y escalabilidad en entornos de producción.

Solid understanding of clou

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.

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¿Qué piden?

✓8+ años de experiencia en ciencia o ingeniería aplicada con ciclo completo de ML en entornos de producción a gran escala.
✓Experiencia comprobada liderando y escalando equipos técnicos, mentorando talento senior.
✓Experto en ingeniería de IA moderna: agentic systems (LangGraph), arquitecturas RAG, bases de datos vectoriales.
✓Enfoque práctico: prioriza entregas iterativas que resuelven problemas reales de clientes.
✓Excelente sentido del producto y conciencia del negocio, con capacidad para traducir decisiones técnicas en valor para usuarios.
✓Capacidad de liderar por influencia técnica, colaborando con equipos de plataforma para definir estrategia.

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

LangGraphRAGvector databasesLLMOpslarge language modelsagentic workflowsreal-time reasoning enginesCRM datastructured dataunstructured content

¿A quién escribirle en Pipedrive?

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

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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