The impact you will have:
- Drive Revenue Success: Own and exceed your team’s monthly, quarterly and annual sales targets.
- Develop and Implement Strategic Plans: Develop and lead execution of strategic plans for team’s development and revenue attainment.
- Build Trust-Based Relationships: Develop long term employee, customer, partner, and cross-functional relationships.
- Lead with Value: Enable your team to understand the commercial and business goals of your customer and how they relate to our value proposition.
- Empower and Enable the Front-Line Voice of Databricks: Lead your team to effectively communicate the value proposition throughout the customer journey.
- Experienced (3+ years) high-growth Data/AI/Infrastructure leader with experience leading a sales team to new heights
- Experience translating a highly technical product to business value for the c-suite. Experience in big data, selling against open source or freemium models is a plus.
- Track record of success executing against personal and team goals while always striving to uplevel your and your team’s skills
- Proven leadership ability to influence, develop, and empower employees to achieve personal objectives with a team first mindset
- Ability to coach and develop fundamentals in your Account Executives including and not limited to prospecting, expansion, operational rigor, and personal development.
- Excellent written and verbal communication skills as well as experience communicating with and presenting to the C-Suite
- Willing to travel as needed (<25%) and work on the deals as needed to hit the goals
- Bachelor’s degree required. MBA or advanced degree is a plus but not required.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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. For more information regarding which range your location is in visit our page here.
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.
Skills Required
- 3+ years of experience as a leader in high-growth Data, AI, or Infrastructure environments, including experience leading a sales team
- Experience translating highly technical products into business value for C-suite audiences
- Track record of success executing personal and team goals
- Proven ability to influence, develop, and empower employees to achieve objectives
- Ability to coach and develop Account Executives in prospecting, expansion, operational rigor, and personal development
- Excellent written and verbal communication skills
- Experience communicating and presenting to the C-suite
- Willingness to travel as needed, less than 25%
- Bachelor's degree
- Experience in big data or selling against open source or freemium models
- MBA or advanced degree
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
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Parental & Family Support — Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
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Wellbeing & Lifestyle Benefits — Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
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