Strategic Enterprise Account Executive - Financial Services
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## Responsibilities
- Provide industry insight and business creativity to design and develop unique use cases and solutions that differentiate Databricks within the Financial services segment.
- Co-develop a business plan with your team and ecosystem partners to accelerate existing customer success, identify and acquire new opportunities, and exceed quarterly/annual usage and booking goals.
- Motivate a diverse team of big data and AI professionals to implement your business plan.
- Lead your team, customers, and partners to identify impactful big data and AI use cases and prove their value on the Databricks Data Intelligence Platform.
- Support the broader big data and AI transformation goals of your customers through strategic partnerships, well-scoped professional services, training, and targeted Executive engagement.
- Build exceptional value with all engagements to guide successful negotiations to close.
## Requirements
- 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).
## Benefits
- Comprehensive benefits and perks that meet the needs of all employees.
- Information on specific benefits in your region available here.
## 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.
## 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.
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