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Enterprise Account Executive, State and Local

Enterprise sales role responsible for growing strategic State and Local government accounts while acquiring net-new customers. Requires 7+ years of quota-exceeding sales experience, complex cloud or SaaS selling expertise, executive presence, and a bachelor’s degree.

About the job

Responsibilities

  • Manage complex sales cycles and present to C-level executives.
  • Exceed activity, pipeline, and revenue targets.
  • Track customer details, including use cases, purchase timelines, next steps, and forecasts, in Salesforce.
  • Use a solution-based approach to sell and create customer value.
  • Promote Databricks’ enterprise cloud data platform powered by Apache Spark.
  • Ensure satisfaction among the existing customer base.
  • Prioritize strategic opportunities and apply appropriate resources.
  • Grow and protect a large high-consumption account while building new business and acquiring net-new customers across the territory.
  • Orchestrate stakeholders within complex, high-value customers and generate pipeline in agencies without an existing Databricks footprint.

Requirements

  • 7+ years of experience exceeding sales quotas.
  • Field sales experience in big data, cloud, or SaaS.
  • Experience managing large, complex State and Local government accounts preferred.
  • Prior customer relationships in the region.
  • Strong executive presence and ability to engage credibly with commissioners, secretaries, CFOs, CIOs, and program leaders.
  • Experience closing new accounts while managing existing accounts.
  • Experience working in an early-stage company.
  • Bachelor’s degree.
  • Passion for cloud technologies.

Nice-to-haves

  • Understanding of Apache Spark and big data.
  • Ability to communicate product value to customers and system integrators.

Compensation

  • Total compensation range: $272,000–$374,000 USD.
  • May include an annual performance bonus, equity, benefits, and accelerators above 100% quota attainment.

Skills

Salesforce, SaaS, Cloud Computing, Big Data, Spark, Data Analytics, Artificial Intelligence, Pipeline Generation, Forecasting, Solution Selling

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