SLSQ326R353
The Databricks sales organization is a team of sales professionals who work to deliver significant revenue into AWS customers and end users. This team focuses on the full sales motion (prospecting to closure) to accelerate the success of Databricks and its partners. You are responsible for running a book of business for the APJ region focusing on APJ Enterprise.
Reporting directly to the AWS Databricks Global VP of Sales, the AWS Sales Manager will be responsible for leading the direct sales effort of AWS Databricks alongside AWS, while coordinating revenue generating activities with the Databricks sales organization for all APJ Markets (Asean, India, Japan, Korea, China, ANZ). Proven experience in leading an enterprise software sales/consumption process in a complicated matrix/v-team and collaboration with SI/consulting partners is paramount. You will have deep experience in working with large technology cloud platform providers, be customer-oriented, excel in a “team selling” approach and have strong discipline in working towards a value-based sales process. Additionally, we are looking for someone with a strong AWS ecosystem background
The impact you will have:
- Coach sales teams on building and developing strong business cases for business and technical champions
- Coach sales teams on how to to create demand and quantify the business value from use cases
- Close collaboration with key partner sales leadership (i.e.: AWS)
- Implement sales plays jointly with AWS and SI partners
- Work with AWS and SI partners to accelerate consumption of AWS Databricks
- Ensure customer success with the platform, both commercially with business outcomes and technically
What we look for:
- Strong track record in enterprise software sales, preferably in Data and AI in the Cloud
- Understanding of the AWS landscape and the consumption sales process
- Proven, tangible results building territories and executing on an enterprise software sales motions
- Strong use case / challenger selling instinct and ability to identify opportunities for Databricks with partners as well as ability to work collaboratively with Databricks teams
- Understand and appreciate what the technology does for customers and their business.
- Excellent understanding of the various industries and Data and AI use cases.
- Former AWS employees or AWS partners with a good reputation from the AWS field teams are a definite plus
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, LinkedIn and Facebook.
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 https://www.mybenefitsnow.com/databricks.
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.