Strategic Enterprise Account Executive, Life Sciences
Databricks· Sales / Life Sciences
Hybrid (Chicago, IL and IN)$311.6k - $428.5kfull-timePosted 2mo ago
About the role
Strategic sales professional responsible for selling into large Pharmaceutical accounts, managing a single strategic pharma account, and driving value through a solution-based approach in Big Data, Analytics, and AI with Databricks.
Responsibilities
- Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners
- Grow a strategic pharma account
- Identify and close quick, 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 your customer
- Promote Databricks' enterprise cloud data platform powered by Apache Spark™
- Ensure 100% satisfaction among your customer
- Prioritize opportunities and apply appropriate resources
- Build a plan for success internally at Databricks and externally with your accounts
Qualifications
- 7+ years of experience exceeding sales quotas
- Bachelor's Degree
- Field sales experience within big data, Cloud, or SaaS sales
- Experience managing large, complex Life Sciences accounts is preferred
- 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
- You have previously worked in an early-stage company, and you know how to navigate and be successful
Skills
Required:Sales strategy and account planningCloud and big data conceptsStakeholder management
Benefits
- See benefits link for regional details (per description)
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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