Databricks

Named Hunter Account Executive, Retail

Databricks
onsite executive full-time $245,200-$337,150 USD United States
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First indexed 18 Apr 2026

Description

As a Named Hunter Account Executive, Retail at Databricks, you will be a strategic sales professional experienced in selling into Retail & Consumer Packaged Goods accounts. Your key responsibilities will include assessing your accounts and developing a strategy to identify and engage all buying centres, using a solution-based approach to selling and creating value for new logo accounts, and being comfortable switching between technical stakeholder and business buyer personas.

You will be responsible for identifying and closing quick wins while managing longer, complex sales cycles, tracking all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce, and mapping the whitespace opportunity across your defined territory, and using methodology to identify the most viable use cases in each account to maximise Databricks impact.

You will also be responsible for orchestrating and working with teams to maximise the impact on your ecosystem, building value with all engagements to promote successful negotiations to close point, and being customer-focused by delivering technical and business results using the Databricks Intelligence Platform.

To succeed in this role, you will need 5+ years of enterprise sales experience exceeding quotas, covering relevant accounts and industries, strong closing experience and evidence of exceeding sales quota, sales experience within Cloud software, open source technology, or ideally Data and AI space, methods for co-developing business cases and gaining support from C-level Executives, familiarity with sales methodologies and processes, and the ability to simply articulate intricate cloud technologies.

The pay range for this role is $245,200-$337,150 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8405831002