Enterprise Geo Hunter Account Executive - Financial Services

Databricks; Pittsburgh (Allegheny County); On-site; USD 167,000 - 230,000; Full time

Job summary

Databricks is seeking an Enterprise Geo Hunter Account Executive in the United States to lead field sales efforts with financial services accounts. You will hunt net-new logos, engage CIOs and IT executives, and advance opportunities from exploration to close.

You will close both new and existing accounts, manage complex multi-stakeholder deals, and push for quota attainment while leveraging Databricks’ cloud data platform. A strong focus on value creation and forecast accuracy is required.

Qualifications

• Experience in field sales and exceeding quotas.
• Experience selling to financial services accounts.
• Ability to articulate complex cloud technologies to executives.
• Experience with net new logos and enterprise deals.
• Familiarity with data/platform/cloud tech preferred.

Responsibilities

• Meet CIOs, IT and business executives to drive opportunities.
• Close new and existing accounts with multi-quarter sales cycles.
• Identify quick wins while managing longer deals.
• Exceed activity, pipeline and revenue targets.
• Capture customer details in Salesforce and forecast accurately.
• Promote Databricks' enterprise cloud data platform.
• Ensure customer satisfaction and plan internal/external success.

Skills

Field sales experience

Quota attainment

Financial services knowledge

Cloud technology storytelling

Education

Bachelor's Degree

Job description

SLSQ427R441

As an Enterprise Geo Hunter Account Executive at Databricks, you are a seasoned sales professional with experience selling to Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to hunt after net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.

The Impact You Will Have

• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing accounts
• Identify and close quick, small wins while managing longer, complex sales cycles
• Exceed activity, pipeline, and revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Use a solution-based approach to selling and creating value for customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying appropriate resources
• Build a plan for success internally at Databricks and externally with your accounts

What We Look For

• You have previously worked in an early stage company and you know how to navigate and be successful
• Field sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 4+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing net new business
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree

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 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 anticipated 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

$167,100—$229,800 USD

Zone 2 Pay Range

$167,100—$229,800 USD

Zone 3 Pay Range

$167,100—$229,800 USD

Zone 4 Pay Range

$167,100—$229,800 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.