Databricks

1 day ago

Strategic Enterprise Account Executive - CMEG

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Drive value-based growth for Fortune 500 enterprise accounts in the CMEG space by building relationships with CIOs, IT and LOB executives, and program managers. Own go-to-market execution, expand the Databricks footprint into new business units and use cases, and exceed activity, pipeline, and revenue targets. Track opportunities and forecasts in Salesforce and sell Databricks’ Data Intelligence Platform powered by Apache Spark and Delta Lake.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Sales

Seniority: Mid level

Key Responsibilities

•Build and manage relationships with CIOs, IT executives, LOB executives, program managers, and key partners.
•Drive value-based growth, expanding the Databricks footprint into new business units and use cases.
•Exceed activity, pipeline, and revenue targets through solution-based selling.
•Track customer details (use case, purchase time frames, next steps, and forecasting) in Salesforce.
•Promote the Databricks Data Intelligence Platform powered by Apache Spark and Delta Lake.

Pay and Benefits

Salary: USD 272,000 - 374,000 annually

Equity and Bonus:Equity

Key Requirements

•7+ years of Enterprise Sales experience exceeding quotas in larger accounts.
•Previous field sales experience selling big data, cloud, SaaS, and in a consumption selling motion.
•Proven customer relationships with CIOs, program managers, and key decision makers at local accounts.
•Ability to translate technical capabilities into value-based benefits.
•Bachelor’s degree.

Experience:7+ yearsEnterprise salesFortune 500

Education:Bachelor's

Skills:Relationship buildingValue-based sellingExecutionCommunicationDeal management

Languages:English

Tech Stack:SalesforceApache SparkDelta Lake

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 day ago

Strategic Enterprise Account Executive - CMEG

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Sales

Seniority: Mid level

Key Responsibilities

•Build and manage relationships with CIOs, IT executives, LOB executives, program managers, and key partners.
•Drive value-based growth, expanding the Databricks footprint into new business units and use cases.
•Exceed activity, pipeline, and revenue targets through solution-based selling.
•Track customer details (use case, purchase time frames, next steps, and forecasting) in Salesforce.
•Promote the Databricks Data Intelligence Platform powered by Apache Spark and Delta Lake.

Pay and Benefits

Salary: USD 272,000 - 374,000 annually

Equity and Bonus:Equity

Key Requirements

•7+ years of Enterprise Sales experience exceeding quotas in larger accounts.
•Previous field sales experience selling big data, cloud, SaaS, and in a consumption selling motion.
•Proven customer relationships with CIOs, program managers, and key decision makers at local accounts.
•Ability to translate technical capabilities into value-based benefits.
•Bachelor’s degree.

Experience:7+ yearsEnterprise salesFortune 500

Education:Bachelor's

Skills:Relationship buildingValue-based sellingExecutionCommunicationDeal management

Languages:English

Tech Stack:SalesforceApache SparkDelta Lake

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn