Named Enterprise Account Executive

Databricks

United States

Remote

USD 101,000 - 158,000

Full time

3 days ago
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Job summary

Databricks seeks an Enterprise Account Executive to spearhead growth in Italy and deepen engagement with strategic utility customers. You will co-develop a business plan with your team and ecosystem partners to accelerate consumption and bookings, and you will lead collaborations with customers and partners to identify high-value data and AI use cases on the Databricks Data Intelligence Platform.

You will drive the big data and AI transformation goals through strategic partnerships, professional

Qualifications

  • 5+ years of experience selling SaaS solutions to Enterprise Customers.
  • Experience in Big Data, Cloud, or SaaS industries with some technical sales background.
  • Proven track record of exceeding sales quotas in high-growth Enterprise software companies.
  • Experience driving consumption and commit-based engagement models with services/training teams.
  • Experience co-selling and scaling with Cloud Vendors (AWS, Azure, Google Cloud) and GSIs.
  • Ability to build champions and collaborative partnerships to execute account plans.
  • Experience identifying all key use cases and buying centers to maximize impact.
  • Familiarity with robust sales methodologies (MEDDPICC, Value Selling, forecasting).
  • Fluent Italian and business English is required.

Responsibilities

  • Co-develop a business plan with your team and ecosystem partners to accelerate customer success and exceed goals.
  • Lead teams, customers, and partners to identify impactful big data and AI use cases on the Databricks platform.
  • Drive transformation goals through partnerships, professional services, and targeted Executive engagement.
  • Develop understanding of product details and roadmap to build trust with executives and technical champions.

Skills

SaaS sales
Big Data sales
Quota attainment
Consumption-based selling
Cloud partnerships
Stakeholder management
Use-case mapping
Sales methodologies
Bilingual Italian/English

Job description

SLSQ127R43 Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers in Italy rely on us to drive the accelerated innovation needed to stay ahead in today’s highly competitive landscape. As we continue our rapid expansion in Italy, we are looking for a creative, execution-oriented Enterprise Account Executive to join our team and maximize the incredible market opportunity for Databricks in the region. Reporting to the Director, Enterprise Sales, Italy, your mission will be to drive growth and deepen engagement of our most strategic Utilities customer partnerships in the region.

The impact you will have:
  • You will co-develop a business plan, with your team and ecosystem partners, that accelerates customer success to exceed quarterly/annual consumption and booking goals
  • You will lead your team, customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Data Intelligence platform
  • You will implement the big data and AI transformation goals of your customer through a combination of strategic partnerships, well scoped professional services, training and targeted Executive engagement
  • You will develop an understanding of technical product details and roadmap to build trust with executives and technical champions
What we look for:
  • 5+ years of experience selling SaaS solutions to Enterprise Customers
  • You will have experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
  • Proof of exceeding sales quotas in high-growth Enterprise software companies
  • You will have experience driving consumption and commit-based engagement models and strategies working with professional services and training teams
  • You will have experience co-selling and scaling your business with Cloud Vendors (AWS, Azure and Google Cloud teams) and Global Solution Integrators (GSI)
  • Experience of building effective champions, collaborative teams and partnerships to support execution of your account / territory plan
  • Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
  • Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
  • Fluent Italian and business English is required
About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedInandFacebook.

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, please visit .

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.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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