Sales Leader, VC-Backed Startups

Databricks; San Francisco (CA); On-site; USD 340,000 - 468,000; Full time

Job summary

Databricks is seeking a Sales Leader to oversee a team of Core Account Executives focused on winning new business in the VC-backed startup ecosystem. You will drive revenue growth, develop strategic plans, and build lasting relationships with customers and partners.

You will coach first-time Account Executives to become elite closers, while guiding them in prospecting, expansion, and disciplined execution. Strong communication with the C-suite is essential.

Qualifications

• Leads a high-growth sales team focused on new business in a VC-backed startup ecosystem.
• Translates technical product value for C-suite audiences.
• Proven track record of meeting personal and team goals.

Responsibilities

• Drive revenue by exceeding monthly, quarterly, and annual targets.
• Develop and implement strategic plans for team development and revenue attainment.
• Build trust-based relationships with employees, customers and partners.
• Lead with value and communicate the Databricks value proposition across the customer journey.
• Coach and develop Account Executives in prospecting, expansion, and process rigor.

Skills

Sales leadership

Team management

C-suite communication

Strategic planning

Coaching & development

Education

Bachelor’s degree

MBA or advanced degree (nice to have)

Job description

SLSQ427R434

We are looking for a Sales Leader to join our growing Startups segment. You will be responsible for overseeing and motivating a team of Core Account Executives focused on winning new business within the VC-Backed Startup ecosystem. You will be measured by your team’s ability to grow existing accounts, generate fresh pipeline, and exceed quota through new business. This is a team of high-energy, coachable sellers. We are looking for a leader who loves developing first-time Account Executives into elite closers and outbound experts.

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.

What We Look For

• 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.

Zone 1 Pay Range

$340,000—$467,500 USD

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.