Geo Hunter Account Executive

Reposted 15 Days Ago
Be an Early Applicant
Toronto, ON, CAN
In-Office
Mid level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Enterprise hunter sales role selling Databricks' data & AI platform to large enterprises and well-funded unicorns. Close net-new logos, manage complex sales cycles, engage CIOs and IT/LOB leaders, exceed pipeline and revenue targets, track deals in Salesforce, and articulate cloud and big-data solutions.
Summary Generated by Built In

SLSQ327R496

As a Geo Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into accounts with over $1B in Annual Revenue, or well-funded Start-ups valued over $1B. 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 close 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 quickly, 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 apply appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts

What we look for:

  • 4+ years of experience exceeding sales quotas
  • 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
  • Hunter (Net-New Logo) Experience
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 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.

Skills Required

  • 4+ years of experience exceeding sales quotas
  • Experience working at early-stage companies
  • Field sales experience within big data, Cloud, or SaaS sales
  • Hunter (Net-New Logo) experience
  • Prior customer relationships with CIOs, program managers, and key decision makers
  • Ability to simply articulate intricate cloud technologies
  • Understanding of Spark and big data
  • Experience tracking customer details and forecasting in Salesforce
  • Bachelor's Degree

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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