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Geo Hunter Account Executive, Life Sciences

Databricks

Boston (MA)

On-site

USD 149,000 - 230,000

Full time

3 days ago
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Job summary

A leading data and AI company is seeking a Geo Hunter Account Executive in Boston to join its Life Sciences Sales Team. This role requires an accomplished sales professional to drive new and existing accounts through innovative customer partnership and strategic territory planning, all while utilizing a solution-based approach. The position offers a competitive base salary and accelerators for exceeding quotas, making it an exciting opportunity for a passionate sales expert to thrive in a dynamic environment.

Qualifications

  • 2-5 years of Mid-Market / Enterprise Sales experience exceeding quotas.
  • Field sales experience within big data, Cloud, and SaaS.
  • Prior customer relationships with CIOs and decision makers.

Responsibilities

  • Present territory plan within first 90 days.
  • Close both new and existing accounts.
  • Track customer details in Salesforce.

Skills

Sales experience
Understanding of Apache Spark
Customer relationship management

Education

Bachelor's Degree

Job description

Geo Hunter Account Executive, Life Sciences

Join to apply for the Geo Hunter Account Executive, Life Sciences role at Databricks

Geo Hunter Account Executive, Life Sciences

Join to apply for the Geo Hunter Account Executive, Life Sciences role at Databricks

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SLSQ426R62

As a Geo Hunter Account Executive on Databricks' Life Sciences Sales Team, you are an accomplished sales professional experienced in selling to Mid-Market and Enterprise 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 close new accounts. Along with the chance to close exciting deals and solve meaningful problems, we also offer accelerators above 100% quota attainment.

The Impact You Will Have

  • Present a territory plan within first 90 days
  • 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, and SaaS sales
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 2-5 years of Mid-Market / Enterprise Sales experience exceeding quotas, covering relevant accounts and industries
  • Success closing new accounts while working existing accounts
  • Understanding of Apache Spark and big data preferable
  • 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 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 utilizes 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.

Local Pay Range

$149,600—$229,400 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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, please visit https://www.mybenefitsnow.com/databricks.

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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Industries
    Software Development

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