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Geo Core Account Executive-FINS

AI Summary
Databricks ищет опытного Enterprise Account Executive для развития новых и существующих клиентов в секторе финансовых услуг. Роль ориентирована на hunter-продажи сложной облачной data/AI-платформы, работу с руководителями уровня CIO и ведение длинных корпоративных циклов сделок. Специалист будет формировать пайплайн, вести прогнозирование в Salesforce, квалифицировать возможности и координировать внутренние ресурсы для закрытия сделок. Требуется не менее четырёх лет стабильного перевыполнения квот, опыт SaaS, cloud или big data sales и умение объяснять сложные технологии бизнес-аудитории. Вакансия удалённая для кандидатов в США, с привязкой к Нью-Йорку.
Remote from
USA
Salary
Undisclosed
Department
Sales
Employment
Full Time
Experience
Director
Published
Apply before
9 Dec 2026
Listing views
23
Application actions
1
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Opportunity details

About this role.

SLSQ128R164

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

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.

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightЭто высокоуровневая enterprise sales-роль с ответственностью за привлечение новых финансовых клиентов, выполнение выручечных целей и управление сложными многосторонними сделками. Успех требует сильной самостоятельности, технической коммерческой экспертизы и доступа к senior decision-makers.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$165,000
US market range (per year)$135k–$200k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Работодатель не раскрыл базовую заработную плату. Указана ориентировочная годовая базовая зарплата для опытного Enterprise Account Executive в сфере cloud/data SaaS в США; комиссии и акселераторы за выполнение квоты в оценку не включены.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How have you opened and closed net-new enterprise accounts with long, complex sales cycles?

I begin by defining the ideal customer profile and mapping the buying committee, business priorities, and technical requirements. I create a mutual action plan with clear milestones, build executive sponsorship early, and maintain disciplined follow-up in the CRM to move stakeholders toward a measurable business case.

How would you position Databricks to a financial-services CIO?

I would focus on outcomes such as governed data access, faster analytics and AI delivery, reduced platform complexity, and stronger operational agility. I would connect the platform's technical capabilities to the CIO's strategic priorities, validate value with relevant use cases, and involve technical specialists to demonstrate a credible implementation path.

Describe your approach to managing both quick wins and strategic enterprise opportunities.

I segment opportunities by value, urgency, probability, and required resources. I pursue smaller opportunities with a streamlined process while protecting dedicated time for strategic accounts, using account plans and next-step discipline so neither short-term activity nor long-term pipeline is neglected.

What methods do you use to produce accurate forecasts?

I forecast based on verified customer commitments, stakeholder alignment, procurement status, technical validation, competitive position, and mutually agreed next steps rather than optimism. I regularly inspect deal risks, update Salesforce promptly, and communicate realistic upside and downside scenarios to leadership.

How do you explain a complex cloud or data technology to a nontechnical business executive?

I avoid feature-first language and start with the executive's business objective, current friction, and success metrics. I use a concise narrative that links the technology to outcomes such as faster decisions, lower risk, improved customer experiences, or greater productivity, then bring in technical detail only when it supports the decision.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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