Named Enterprise Account Executive
About the job
- Extensive experience selling complex solutions to enterprise customers.
- Experience managing and leading complex, federated sales campaigns in major accounts.
- Experience working in data and cloud industries, including some technical sales experience.
- A track record of exceeding sales quotas in high-growth enterprise software companies.
- Experience driving consumption and commit-based engagement models while working with professional services and training teams.
- Experience co-selling and scaling a business with cloud vendors, including AWS, Azure, and Google Cloud teams, and Global Solution Integrators.
- Experience building effective champions, collaborative teams, and partnerships to support execution of an account or territory plan.
- Understanding of how to identify key use cases and buying centers in an opportunity to increase the impact of Databricks in an organization.
- Experience following robust sales methodologies and processes, such as account planning, MEDDPICC, Value Selling, and accurate forecasting.
- Bachelor's degree or relevant work experience.
- Fluency in English.
- Co-develop a business plan with the team and ecosystem partners to accelerate customer success and exceed quarterly and annual consumption and booking goals.
- Lead the team, customers, and partners to identify impactful data and AI use cases and prove their value on the Databricks Data Intelligence platform.
- Implement customer data and AI transformation goals through strategic partnerships, well-scoped professional services, training, and targeted executive engagement.
- Develop an understanding of technical product details and the roadmap to build trust with executives and technical champions.
- Sell innovation and value to existing customers, identify new use cases, grow consumption, and guide deals forward to compress decision cycles.
About the company
Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$32.1B
Headquarters
San Francisco, California
Founded
2013
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Simplify's Take
What believers are saying
- Growth supports larger product bets: Databricks reported over 80% yearly growth and a $7 billion revenue run-rate in August 2026.
- Employees try frontier AI immediately: Databricks says its 12,000 staff received day-one access to September 2026 model releases.
- Existing customers spend more: Databricks reported over 140% revenue retention in February 2026, after contractions and departed accounts.
What critics are saying
- Steep valuation: Databricks' August 2026 round valued it near 27 times its $7 billion annualized revenue milestone.
- A partner controls part of the bill: Microsoft sets Azure Databricks prices and bills those customers directly.
- Equity needs planned liquidity: Databricks remains privately held, so employee shares lack an everyday stock-market exit.
What makes Databricks unique
- Governance extends beyond its own engine: Databricks publishes Unity Catalog's core APIs and server as open source.
- Apps run beside analytics: Databricks' Lakebase combines a Postgres database with its data lake and isolated testing branches.
- Its roots are in distributed computing: Databricks' founders created Apache Spark, which processes large datasets across many computers.
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Benefits
Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave
Growth & Insights and Company News
6 month growth
0%1 year growth
0%2 year growth
-1%Pricefx, a pricing intelligence company for B2B enterprises, has partnered with Databricks to let manufacturers and distributors manage pricing directly on data they already hold in Databricks. The company announced the move on October 14, 2026, at its Accelerate 2026 conference in Denver. The native integration aims to cut implementation time and end reliance on stale data. Pricing teams will work from current data, while IT keeps governance through Databricks' Unity Catalog. Pricefx will roll it out in three stages: a data connector, a zero-copy option that keeps data in Databricks, and pricing agents on Databricks Marketplace. The last two are coming soon. "Pricing is where that investment should pay off directly in margin," said Ronak Sheth, chief executive officer of Pricefx.
Tecton is joining Databricks to deliver fast, reliable real-time data for AI agents.
Tel Aviv-based Seemore Data has launched early access to its cost optimisation platform for Databricks, targeting enterprises seeking to fund AI initiatives. The startup's context-aware control plane now covers Databricks SQL warehouses, Lakeflow jobs, all-purpose clusters, and AI services. The launch addresses growing demand for AI funding as Gartner forecasts worldwide AI spending to reach $2.5 trillion in 2026. According to IDC, 45% of companies plan to fund AI from existing software budgets. Seemore's platform provides full cost attribution across Databricks workloads and automatically optimises SQL warehouses within customer-set parameters. The company claims its Snowflake customers achieve an average 33% bill reduction and expects comparable results for Databricks users. The service requires only metadata-only access and does not access customer data. It is available for organisations running Databricks with Unity Catalog.
Databricks has acquired Seattle startup Row Zero, founded in 2021 by former Amazon Web Services engineers Breck Fresen and Nick End. Row Zero built enterprise spreadsheet software designed to process millions of rows at cloud scale without performance issues. The startup raised a $10 million Series A round last year. Row Zero's standalone product will remain available whilst the team integrates its engine across Databricks' platform, which serves over 20,000 organisations, including 70% of the Fortune 500. Fresen and End previously founded Shoefitr, which Amazon acquired in 2015. San Francisco-based Databricks recently crossed a $7 billion annualized revenue run-rate and raised a $5 billion funding round in August, reaching a $190 billion valuation.
Helix has partnered with Databricks to launch Helix Research Workspaces, a Trusted Research Environment for population-scale clinicogenomic research. The platform provides approved partners secure access to analysis tools and compute capabilities for more than 550,000 linked clinicogenomic records. Built on the Databricks Data + AI platform, Research Workspaces gives researchers access to GenoSphere clinicogenomic records, which combine genomic data with an average of over 13 years of electronic health records. The environment features population-scale genomic analysis tools, AI-assisted coding, collaborative workspaces, and integrated oversight capabilities. Helix found that researchers using Research Workspaces had lower compute costs compared to similar work on different platforms. The launch follows Helix's earlier release of Cohort Builder, which enables researchers to build targeted clinical and genomic cohorts.