Strategic Enterprise Account Executive - Financial Services

Role description

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.