Sr. Director, Enterprise - Retail Vertical - Strategic Accounts

Databricks
New York, US
Remote

Who this role is best for

Aimed at mid-level sales leaders with enterprise tech experience who thrive in hyper-growth environments and have strong retail industry knowledge.

Best fit for

  • Experienced sales leader with a track record in Big Data, Cloud, and AI spaces.
    — “5+ years of successfully building and leading high-growth sales teams serving enterprise customers within the Big Data, Cloud (Azure, AWS, GCP), Analytics, AI spaces.
  • Candidate who has consistently exceeded quota in enterprise technology companies.
    — “History of exceeding quota and thriving in hyper-growth Enterprise technology companies.
  • Leader with strong Retail industry experience and partner ecosystem development skills.
    — “Strong Retail industry experience is preferred

Things to consider

  • Role requires leading a team to achieve overall quota and grow usage.
    — “you will be measured by achieving your team’s overall quota and growing Databricks usage.
  • Position involves developing trust-based relationships with customers and partners.
    — “Develop trust-based relationships with customers and partners to ensure long-term success.

How to stand out

  • Demonstrate your ability to instill a culture of teamwork and measurable business value.
    — “Instill a culture of teamwork focused on leading with measurable business value and achieving desired customer outcomes.
  • Highlight your experience with value selling and sales methodologies like MEDDPICC.
    — “Understanding of value selling and sales methodologies such as MEDDPICC, Challenger, Command of Message.
  • Showcase your track record of driving consumption in enterprise territories.
    — “proven track record of leading teams to success when focused on enterprise territories and driving consumption is critical.
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • enterprise quota achievement
  • customer success
  • team growth
  • customer outcomes
Typical background
enterprise salesbig datacloud

Skills & requirements

Required

Sales LeadershipEnterprise SalesTeam ManagementCustomer SuccessCross-functional Collaboration

Preferred

Retail Industry Experience

Stack & domain

SalesEnterprise SalesBig DataCloudAnalyticsAIValue SellingSales MethodologiesPartner EcosystemsCustomer SuccessData IntelligenceGenaiSales EnablementSales OperationsSales AnalyticsSales ForecastingSales Enablement ToolsSales Enablement ProcessesSales Enablement TrainingSales Enablement Best PracticesSales Enablement MetricsSales Enablement TechnologySales Enablement SoftwareSales Enablement PlatformsLeadershipTeamworkCommunicationProblem-solvingStrategic ThinkingInfluenceNegotiationRelationship BuildingProject ManagementTime ManagementAdaptabilityWork EthicBias Towards ActionStrong Work EthicPassion

About the role

Original posting from Databricks

SLSQ327R394

While candidates in the listed location(s) are encouraged for this role, candidates in other locations (East Coast) will be considered.

Remote - NYC

Remote - NJ

Remote - Atlanta

Remote - Boston

Remote - Chicago 

We are looking for a Sales Director to join our growing business. You will lead an existing team of Strategic Enterprise Account Executives and you will be measured by achieving your team’s overall quota and growing Databricks usage. This is a team of Strategic Account Executives that are passionate about building a data ecosystem, 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 Strategic 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 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 the Databricks’ core values and instill them in the team you are leading.

You will have 5+ 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, Command of Message.

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

Strong Retail industry experience is preferred 

With this role, a proven track record of leading teams to success when focused on enterprise territories 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 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. For more information regarding which range your location is in visit our page here.

 

Local Pay Range$440,000—$605,000 USDAbout 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 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.

Source: Databricks careers

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