Enterprise Geo Hunter Account Executive - Financial Services

Databricks Inc.

Northern (KY)

Hybrid

USD 220,000 - 303,000

Full time

35 hours ago
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Benefits offered by this job

Quota accelerators

Job summary

Databricks is seeking an Enterprise Geo Hunter Account Executive for the Financial Services sector in the Northeast US. You will hunt and close net new logos while expanding relationships with CIOs and IT executives, driving value through Databricks’ data platform.

You will navigate complex sales cycles, forecast pipeline in Salesforce, and collaborate with partners to accelerate deals, with accelerators above quota attainment.

Qualifications

  • Experience selling to Financial Services accounts.
  • Proven track record closing net new business.
  • Ability to articulate cloud technologies to senior stakeholders.
  • Existing relationships with CIOs, IT executives, and program managers.

Responsibilities

  • Meet with CIOs, IT executives, LOB executives, program managers and other key stakeholders.
  • Close both new and existing accounts.
  • Identify quick wins while managing longer, complex sales cycles.
  • Exceed activity, pipeline, and revenue targets.
  • Track customer details and forecast in Salesforce.
  • Promote Databricks' cloud data platform to customers and system integrators.

Skills

Field sales experience
Financial services
Enterprise software sales
New logo hunting
Sales forecasting
Engaging CIOs/IT execs

Education

Bachelor's Degree

Tools

Salesforce

Job description

Enterprise Geo Hunter Account Executive - Financial Services

Northeast - United States

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
  • 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

$220,100 — $302,600 USD

Zone 2 Pay Range

$220,100 — $302,600 USD

Zone 3 Pay Range

$220,100 — $302,600 USD

Zone 4 Pay Range

$220,100 — $302,600 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 thatour 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.

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file.

As set forth in Databricks’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

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