Director, Enterprise

Databricks Inc.

Boston, Chicago, New York (MA, IL, NY)

Sur place

USD 410 000 - 564 000

Plein temps

Il y a 12 jours

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Résumé du poste

Databricks Inc. seeks a Director of Sales to lead the Enterprise Hunting segment, guiding an existing team of Enterprise Account Executives toward achieving overall quota and securing new logos.

You will report to the Regional Vice President and help grow Databricks usage across enterprise accounts. Fill a role that demands strategic leadership, value-based selling knowledge (MEDDPICC, Challenger, Command of Message), and a proven ability to scale high-growth teams.

Qualifications

  • 3+ years of successfully building and leading high-growth sales teams serving enterprise customers within Big Data, Cloud, Analytics or AI sectors.
  • Proven track record of exceeding quota in enterprise technology environments.
  • Experience developing partner ecosystems to drive enterprise growth.

Responsabilités

  • Lead, grow, and inspire the Enterprise Account Executives to overachieve on goals and objectives.
  • Instill a teamwork-focused culture that emphasizes business value and customer outcomes.
  • Develop trust-based relationships with customers and partners to ensure long-term success.
  • Drive continuous learning of Databricks data intelligence and GenAI solutions within the region.

Connaissances

Enterprise sales leadership
Big Data
Cloud computing
Analytics
AI

Description du poste

SLSQ427R581


We are looking for a Director of Sales to join our world-class sales organization to lead our growing Enterprise Hunting segment. You will lead an existing team of Enterprise Account Executives and you will be measured by achieving your team’s overall quota, new logo acquisition, and growing Databricks usage. This is a team of account executives who are passionate about building a data ecosystem in the enterprise space, technically knowledgeable, and have a desire to help customers and partners succeed. You will report to the Regional Vice President


The impact you will have:


  • Lead, grow, and inspire the Enterprise Account Executives to help them overachieve on their goals and objectives.

  • Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.

  • Develop trust-based relationships with customers and partners to ensure long‑term market success.

  • Drive ongoing learning of the continuous innovation being delivered to our customers via our data intelligence and GenAI solutions.

  • Actively participate in the region’s growth plans, ensure forecast accuracy, and build a customer‑focused, durable, high‑growth business.


What we look for:


  • You live Databricks’ core values and instill them in the team you lead.

  • You will have 3+ years of successfully building and leading high‑growth sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.

  • History of exceeding quota and thriving in hyper‑growth Enterprise technology companies.

  • Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, and Command of Message.

  • Knowledge of developing partner ecosystems to help grow strategic enterprise territories and ensure customer success.

  • In this role, a proven track record of leading teams to success in enterprise territories, landing new logos, and driving consumption is critical.


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


$410,300 — $564,200 USD


Zone 2 Pay Range


$410,300 — $564,200 USD


Zone 3 Pay Range


$410,300 — $564,200 USD


Zone 4 Pay Range


$410,300 — $564,200 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 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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