Role at a glance
- Salary
- Not Disclosed
- Location
- Singapore - Singapore
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 7+ years of experience selling SaaS solutions to Enterprise Customers
- Education
- Bachelors Degree
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Role Summary
The Strategic DNB Hunter Account Executive will acquire strategic digital native enterprise customers in the Greater China Region, while growing business in existing accounts. The role promotes the Databricks enterprise cloud data platform, delivers technical and business results, and reports to the Director of Sales, Greater China.
What You'll Do
- Prospect for new customers
- Assess existing customers and develop a strategy to identify and engage all buying centers
- Use a solution approach to selling and creating value for customers
- Identify the most viable use cases in each account to maximize Databricks' impact
- Orchestrate and work with teams to maximize the impact of the Databricks ecosystem on the territory
- Build value with all engagements to promote successful negotiations and close
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Proven success in Digital Native Sales roles; a solution and business-outcomes focused sales approach; ability to articulate intricate cloud and big data technologies and their business value; proven success and upward trajectory; Bachelors Degree and 7+ years of experience selling SaaS solutions to Enterprise Customers.
Required
- Proven success in Digital Native Sales roles
- Solution and business-outcomes focused sales approach
- Ability to simply articulate intricate cloud and big data technologies and their business value for the customer
- Bachelors Degree
- 7+ years of experience selling SaaS solutions to Enterprise Customers
Preferred
- Ideally in Big Data, Cloud, or SaaS technology
Original job description
Content provided by the employer
Original job description
Content provided by the employer
SLSQ327R457
As a Strategic DNB Hunter Account Executive, your mission will be to acquire key strategic digital native enterprise within the Greater China Region. You know how to sell innovation and change and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts while growing our business in existing accounts. You will report to the Director of Sales, Greater China.
The impact you will have:
- Prospect for new customers
- Assess your existing customers and develop a strategy to identify and engage all buying centers
- Use a solution approach to selling and creating value for customers
- Identify the most viable use cases in each account to maximize Databricks' impact
- Orchestrate and work with teams to maximize the impact of the Databrick ecosystem on your territory
- Build value with all engagements to promote successful negotiations and close
- Promote the Databricks enterprise cloud data platform
- Be customer-focused by delivering technical and business results using the Databricks Platform
What we look for:
- Proven success in Digital Native Sales roles, ideally in Big Data, Cloud, or SaaS technology
- Solution and business-outcomes focused sales approach (Command of the Message, MEDDPIC, Challenger Sale)
- Ability to simply articulate intricate cloud & big data technologies and their business value for the customer
- Proven success and upward trajectory in whatever you have done
- Bachelors Degree and 7+ years of experience selling SaaS solutions to Enterprise Customers
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.
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.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.