Jobs · Sales · New York

Enterprise Geo Hunter Account Executive - Financial Services

Databricks · New York, NY · 3 wk ago
Sales$220k–$303k/yrFull-time
We need to output HTML fragment with headings

for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. We must not repeat job title. Remove boilerplate, navigation, legal, EEO, etc. Must preserve all substantive info. Let's parse the posting: - Title: Enterprise Geo Hunter Account Executive at Databricks (but we don't repeat as heading) - Content: First paragraph: "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." That's about role description. Then "The Impact You Will Have" bullet list: - 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 Then "What We Look For" bullet list: - 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 Then "Pay Range Transparency" paragraph about pay ranges, zones, etc. Then "About Databricks" paragraph about company. Then "Benefits" paragraph: "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." Then "Our Commitment to Diversity and Inclusion" paragraph (EEO boilerplate) - we need to remove EEO boilerplate. Also "Compliance" paragraph about export-controlled tech - maybe keep? It's not boilerplate? It's compliance statement; might be considered boilerplate but it's specific? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The compliance paragraph is legal; likely to be removed. Also "Our Commitment to Diversity and Inclusion" is EEO boilerplate, remove. Thus we keep: role description (maybe as About the role), Impact (Responsibilities), What We Look For (Requirements/Qualifications/Skills?), Pay Range Transparency (Pay), Benefits (Benefits), About Databricks (maybe About the company but not required heading; could be part of About the role? Probably we can include as About the role or separate section "About Databricks" but not in list of allowed headings. The allowed headings are About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We could map: - About the role: initial paragraph describing role and maybe also "About Databricks"? Might be separate but we can include as part of About the role. - Responsibilities: The Impact You Will Have list. - Requirements: maybe "What We Look For" items that are mandatory: early stage company experience, field sales experience, prior customer relationships, articulate cloud tech, 4+ years exceeding quotas, success closing net new business, passion for cloud tech, Bachelor's Degree. Also maybe "Expertise with financial services institutions preferable" is preferable not required; but we can still include in Requirements or Qualifications. - Qualifications: maybe "Understanding of Spark and big data preferable", "Expertise with financial services institutions preferable". Could be Qualifications. - Skills: maybe "Simply articulate intricate cloud technologies", "Passion for cloud technologies", "Understanding of Spark and big data". Could be Skills. But we need to avoid thin sections; better to combine into fewer sections: maybe About the role, Responsibilities, Requirements (including qualifications and skills), Pay, Benefits. That's acceptable. We must not create sections with filler like "commensurate with experience". We have actual content. Pay: we have pay range details with zones. That's specific. Benefits: we have a brief statement about comprehensive benefits and perks; it's not detailed but it's substantive? It says "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." That's somewhat generic but it's the only benefits info. It's not filler like "not specified". It's okay. Schedule: none present, so we omit Schedule section. Now produce HTML fragment:

About the role

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.

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.

Responsibilities

  • 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

Requirements

  • Previously worked in an early stage company and 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
  • Ability to simply articulate intricate cloud technologies
  • 4+ years experience exceeding sales quotas
  • Success closing net new business
  • Passion for cloud technologies
  • Bachelor's Degree

Qualifications

  • Expertise with financial services institutions preferable
  • Understanding of Spark and big data preferable

Skills

  • Solution‑based selling approach
  • Ability to build plans for success internally and externally
  • Strong communication and relationship‑building with senior executives
But we need to ensure we don't invent content. The Skills section we created may be invented. Better to avoid Skills if we don't have explicit skill list. The posting does not list skills explicitly; we could omit Skills section. Instead combine qualifications and skills into Requirements or Qualifications. Let's think: The posting includes "Simply articulate intricate cloud technologies" (skill), "Passion for cloud technologies" (attribute), "Understanding of Spark and big data preferable" (knowledge). Could be under Qualifications. We can have sections: About the role, Responsibilities, Requirements (including qualifications and skills), Pay, Benefits. Thus we avoid Skills section. Now Pay section: need to include pay range transparency paragraph and the zones. We must not include filler like "commensurate with experience". The pay range is specific. We'll output:

Pay

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 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.

  • 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
But note: The instruction: Use
  • for any list of duties/requirements/benefits, and

    for prose. For pay range, we could use

      as it's a list. That's fine. Benefits section: we have a brief statement. Use

      . Thus final HTML:

      About the role

      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.

      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,

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