The Azure Databricks sales organization is a team of sales professionals that work to deliver significant revenue into Microsoft 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 American region focusing on Americas.
Reporting directly to the Azure Databricks Global VP of Sales, the Azure Territory Director will be responsible for leading the direct sales effort of Azure Databricks alongside Microsoft, while coordinating revenue generating activities with the Databricks sales organization for the Financial Services, Insurance, & Capital Markets MSFT OUs. 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 FinServ background
The impact you will have:
- Build and develop strong business cases for business and technical champions.
- Work with directly with customers to create demand and quantify the business value from use cases
- Close collaboration with key partner sales leadership (i.e., Microsoft).
- Implement sales plays jointly with Microsoft and SI partners
- Work with Microsoft and SI partners to accelerate consumption of Azure 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 Azure 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 appreciates what the technology does for customers and their business.
- Excellent understanding of the FinServ industry and Data and AI use cases.
- Former MSFT employees or MSFT Azure partners with a good reputation from the MSFT field teams are a definite plus
Benefits
Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- Flexible time off
- Paid parental leave
- Family Planning
- Gym reimbursement
- Annual personal development fund
- Employee Assistance Program (EAP)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
Zone 1 Pay Range
$230,800—$408,200 USD
About Databricks
Databricks is the data and AI company. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems.
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.