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Digital Natives Account Executive

databricks · Londonmid

En corto

  • ▸Venta de plataformas de datos e IA a startups tecnológicas de rápido crecimiento
  • ▸Trabajas directamente con ejecutivos y equipos técnicos para demostrar valor rápido y cerrar contratos
  • ▸Destacado: incentivos superiores al 100% del objetivo alcanzado

Conocimiento de inglés (nivel profesional)

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¿Qué piden?

  • ✓Experiencia en ventas de productos técnicos en la nube
  • ✓Conocimiento de tecnologías de código abierto y decisiones de 'build vs buy'
  • ✓Experiencia con metodologías de venta basadas en valor
  • ✓Historial comprobado de superar metas de ventas
  • ✓Capacidad para cerrar nuevos clientes y crecer cuentas existentes
  • ✓Motivación para vender a empresas tecnológicamente avanzadas

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

Databricks Data + AI PlatformGenieLakehouseLakebaseUnity CatalogLakeflowAgent BricksSaaSCloudBig Data

¿A quién escribirle en databricks?

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

SLSQ427R430 Want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks. As a Digital Native Account Executive at Databricks, you are passionate about selling to high-growth, venture-backed companies. You will sell to the most technologically advanced companies in the world. You know how to compress decision cycles by penetrating accounts fast and demonstrating value to the customer. You love understanding a product in depth and are passionate about communicating its value to customers. Always looking for new opportunities, you will close new accounts while growing existing accounts. You will report directly to the Director of Digital Natives. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. The impact you will have: • Direct influence on the data strategy of the most engineering-centric companies today • Communicate the account strategy to Databricks Senior Leadership • Allocate Databricks resources to break into new accounts and grow existing accounts • Meet with C-Level Executives to Practitioner level to understand how Databricks can improve business outcomes • Exceed activity, pipeline, and revenue targets • Use a creative, fail-fast approach to selling and creating value for customers • Build a plan for success internally at Databricks and externally with your accounts What we look for: • Passion for selling a highly technical product in the cloud • Experience with Open Source Technologies and build vs buy decision-making • Experience with Value Selling Methodologies • A creative salesperson with a well-defined prospecting motion • Sales experience within big data, Cloud, or SaaS sales • Track record of exceeding sales quotas • Success in closing new accounts while working on existing accounts 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-economic status, veteran status, and other protected characteristics. <stro

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