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Manager, Field Engineering France

databricks·Parislead

In short

  • →Liderar un equipo técnico de pre-ventas en Francia enfocado en soluciones de datos y IA.
  • →Colaborar estrechamente con ventas para impulsar crecimiento mediante ofertas valoradas y relaciones con clientes clave.
  • →Destacado: rol estratégico en un mercado clave con presencia de liderazgo regional y foco en el impacto empresarial.

Fluent in English

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What they ask for

  • ✓Experiencia comprobada gestionando equipos técnicos en entornos de Big Data, Cloud o SaaS.
  • ✓Historial de liderazgo, mentoría y escalabilidad de organizaciones de pre-ventas o campo técnicas.
  • ✓Conocimiento de modelos de negocio basados en consumo.
  • ✓Habilidades sólidas de comunicación e interacción con equipos de ventas y líderes transversales.
  • ✓Dominio del inglés y nivel nativo en francés.
  • ✓Formación técnica en Ingeniería de Datos, Bases de Datos o Ciencia de Datos (experiencia en consultoría es un plus).

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Databricks Data + AI PlatformGenieLakebaseAgent BricksLakeflowLakehouseUnity Catalog

Who should you write to at databricks?

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FEQ227R207 As a Field Engineering Manager, you will lead a talented team of technical pre-sales Solutions Architects and Solutions Engineers based in France. You’ll play a key leadership role at the intersection of technology and business, helping our teams design value-based solutions and drive growth through effective collaboration with Sales. You’ll coach your team to communicate complex ideas clearly, support strategic sales cycles, and build strong partnerships with customers and stakeholders across large organisations. The impact you will have: • Lead, mentor, and develop a high-performing pre-sales team in France. • Foster an inclusive and collaborative culture that reflects Databricks’ values of customer obsession, teamwork, and diversity. • Partner with Sales to drive growth through solution- and value-based selling. • Enhance team effectiveness by establishing best practices that improve efficiency and focus on business impact. • Build trusted relationships with customer executives and strategic partners. • Collaborate across teams—including Marketing, Sales, and Services—to ensure seamless implementation and customer success. • Represent Databricks as part of the regional leadership team and contribute to building our brand and presence in the market. What we look for: • Proven experience managing technical teams in Big Data, Cloud, or SaaS environments. • A track record of leading, mentoring, and scaling pre-sales or technical field organisations. • Understanding of consumption-based business models. • Ability to collaborate effectively with Sales and other cross-functional leaders. • Strong communication and interpersonal skills—fluent in English and native-level French. • Technical background in Data Engineering, Databases, or Data Science (consulting experience is a plus). • Passion for data, AI, and cloud technologies and the ability to articulate their business value clearly. Note: Location for the role is in Paris (i.e. within commutable distance). #LI-hybrid About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-econ

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