Sr. Manager, Mid-Market & Commercial
Databricks
3 - 5 years
Bengaluru
Posted: 05/06/2025
Job Description
SLSQ426R249
We are looking for a Sr Manager of sales, Commercial & Mid-Market to join our sales organization. You will oversee and motivate a team of Account Executives, and you will be measured by your team’s overall quota attainment, new business acquisition, and expansion into existing customer accounts. This is a team of motivated sellers, so we are looking for someone who is comfortable leading teams and loves developing Account Executives into rising stars. You will report directly to the India Director, Mid-Market & Commercial.
The impact you will have:
- Promote Revenue success: Build and exceed your team's quarterly/ annual sales targets
- Build and Implement Strategic Plans: Develop and execute evolving revenue plans and growth tactics
- Create Trust–Based Relationships: Develop long-term customer, partner, and cross-functional relationships
- Distill Customer Needs and Value: Help your team to understand the commercial goals of your customer and how they relate to your value proposition
- Manage the Voice of Databricks: Lead your team to communicate the value proposition through proposals and presentations
What we look for:
- 3+ years high-growth SaaS leader with experience leading a hybrid inside/field sales team
- 3+ years of experience translating a highly technical product into quantified business value for the C Suite
- Experience selling against open source or freemium
- Demonstrated track record delivering towards personal and team goals while to up level your process
- Develop and empower employees to achieve personal goals with a team-first mindset
- Coach and develop sales fundamentals to Account Executives, including and not limited to prospecting, forecasting, and negotiation tactic
- Excellent written and verbal communication skills and experience presenting to the C Suite
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.
About Company
Databricks is a leading data and AI company headquartered in San Francisco, founded in 2013 by the original creators of Apache Spark™, Delta Lake, and MLflow. The company pioneered the Lakehouse architecture, which combines the best features of data warehouses and data lakes into a unified platform, enabling organizations to manage and analyze both structured and unstructured data efficiently. With its Data Intelligence Platform, Databricks empowers over 10,000 organizations worldwide—including more than 60% of the Fortune 500—to unify their data, analytics, and AI workloads. The platform supports various applications, from data engineering and collaborative data science to full-lifecycle machine learning and business analytics.
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