SLSQ326R45
Do you want to help solve the world's toughest problems with data and AI? This is what we do every day at Databricks.
Reporting to the Senior Sales Manager, as an Emerging Enterprise Account Executive at Databricks, you come with relevant experience selling to Enterprise or Commercial/Mid-Market accounts. As a successful candidate you are a self-starter who understands the consumption sales process. Passionate about solving business challenges, you excel at initiating and advancing conversations to value delivery using a defined methodology. Skilled at selling innovation, you guide deals to accelerate decision-making, articulate product value to customers and partners, and collaborate with cross-functional teams to close new business and grow existing accounts.
The impact you will have:
- Assess your accounts and develop a strategy to identify and engage all buying centers
- Use a solution-based approach to selling and creating value for new logo accounts
- Be comfortable switching between technical stakeholder and business buyer personas, in order to connect the customers challenges to business value through the entire sales cycle
- Identify and close quick wins while managing longer, complex sales cycles
- Track all customer details including projects, purchase time frames, next steps, and forecasting in Salesforce
- Map the whitespace opportunity across your defined territory, and use methodology to identify the most viable use cases in each account to maximise Databricks impact
- Orchestrate and work with teams to maximise the impact on your ecosystem
- Build value with all engagements to promote successful negotiations to close point
- Be customer-focused by delivering technical and business results using the Databricks Intelligence Platform
What we look for:
- Experience in working in a Consumption based sales motion
- Strong closing experience and evidence of exceeding sales quota
- Ability to navigate and be successful in a fast-growing organization
- Sales experience within Cloud software, open source technology, or ideally Data and AI space
- Experience driving successful adoption of usage-based subscription services (SaaS) and co-selling with AWS, Azure and Google Cloud teams
- Methods for co-developing business cases and gaining support from C-level Executives
- Familiarity with sales methodologies and processes (e.g. Territory and Account planning, MEDDPICC, and value/discovery selling)
- Simply articulate intricate cloud technologies
- Bachelor's Degree or equivalent experience preferred
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
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Healthcare Strength — Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
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Parental & Family Support — Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.
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What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
