SLSQ327R435
Want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks.
As an Enterprise Account Executive, you will come with an informed and compelling point of view on the Big Data, Advanced Analytics, and AI space which will guide your successful strategy and together with both our teams and partners, allow you to provide exceptional value to our customers within the Financial services sector. Reporting to the Sales Director, you will be focused on the growth of one major
The impact you will have:
- You will provide the industry insight and business creativity required to design and develop unique use cases and solutions that differentiate Databricks within the Financial services segment.
- You will co-develop a business plan, with your team and ecosystem partners, that accelerates existing customer success, identifies and acquires new opportunity and enables you to exceed quarterly/annual usage and booking goals
- You will motivate a diverse team of big data and AI professionals to implement your business plan
- You will lead your team, customers, and partners to identify impactful big data and AI use cases whilst proving their value on the Databricks Data Intelligence Platform
- You will support the broader big data and AI transformation goals of your customers through a combination of strategic partnerships, well-scoped professional services, training, and targeted Executive engagement
- You will build exceptional value with all engagements to guide successful negotiations to close
What we look for:
- Experience in direct sales of enterprise software platforms to large financial service enterprises
- Ownership of executive level relationships in your clients
- Proven track record of developing new business
- Extensive experience of working with large complex regulated organisations
- Knowledge of the Data & AI space with technology sales experience
- Longevity with previous employers
- Quota over-achievement selling complex software and services to large enterprise accounts
- Experience driving successful adoption of usage-based subscription services 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 process (e.g Territory and Account planning, MEDDPICC, Challenger Sales and Command of the Message)
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
- Experience in direct sales of enterprise software platforms to large financial service enterprises
- Ownership of executive level relationships in clients
- Proven track record of developing new business
- Extensive experience working with large complex regulated organisations
- Knowledge of the Data & AI space with technology sales experience
- Longevity with previous employers
- Quota over-achievement selling complex software and services to large enterprise accounts
- Experience driving adoption of usage-based subscription services and co-selling with AWS, Azure and Google Cloud teams
- Ability to co-develop business cases and gain support from C-level executives
- Familiarity with sales methodologies (Territory and Account Planning, MEDDPICC, Challenger Sales, Command of the Message)
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.
