SLSQ427R25
Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers in KSA rely on us to drive the accelerated innovation needed to stay ahead in today’s highly competitive landscape.
As we continue our rapid expansion in KSA, we are looking for a creative, execution-oriented Strategic Enterprise Hunter Account Executive to join our team and maximize the incredible market opportunity for Databricks in the region. Reporting to the Director of Enterprise Sales, you will be responsible for driving strategic growth and expanding our footprint across the region’s most critical enterprise accounts.
The impact you will have:
- Assess your list of assigned accounts and develop a strategy to execute against it
- Build a customer base, identifying and closing new logo opportunities
- Lead your customers and partners to identify impactful big data and AI use cases whilst proving out their value on the Databricks Lakehouse platform.
- Identify land opportunities and develop the expand / consumption use cases.
- Orchestrate and utilise internal teams to maximise the impact on your ecosystem.
- Build exceptional value with all engagements to guide successful negotiations to close point
What we look for:
- Proven experience selling SaaS solutions to Enterprise Customers
- Extensive experience and strong performance in new logo hunting
- Experience working in Big Data, Cloud, or SaaS industries with some technical sales experience
- Successful experience selling complex software deals and quota over-achievement
- Understanding of consumption based land and expand sales models is advantageous
- Knowledge of the Data & AI space with some technology sales experience
- Evidence of creating demand that delivered substantial business value
- Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
- Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.
- Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact of Databricks in an organisation
- Fluent Arabic and business English required
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 click here.
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.
Skills Required
- Proven experience selling SaaS solutions to enterprise customers
- Extensive experience and strong performance in new logo hunting
- Experience working in Big Data, Cloud, or SaaS industries with technical sales experience
- Successful experience selling complex software deals and quota over-achievement
- Understanding of consumption-based land and expand sales models
- Knowledge of the Data & AI space with technology sales experience
- Evidence of creating demand that delivered substantial business value
- Experience following sales methodologies (e.g., account planning, MEDDPICC, Value Selling) and accurate forecasting
- Experience building champions, collaborative teams and partner relationships to execute territory plans
- Ability to identify key use cases and buying centers to expand Databricks impact
- Fluent Arabic and business English
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.
Databricks Insights
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.
