Named Enterprise Account Executive, Insurance

Databricks, Inc.

Named Enterprise Account Executive, Insurance

Salary Not Specified

Databricks, Inc., City of Westminster

  • Full time
  • Permanent
  • Onsite working

Posted 1 week ago, 23 Apr | Get your application in now before you're too late!

Closing date: Closing date not specified

job Ref: 8b1932da9e0d49de91b32b2866397561

Full Job Description

Do you want to help solve the world's toughest problems with big data and AI? This is what we do everyday at Databricks.
Reporting to the RVP, FSI, 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 Insurance sector in UK.

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 Insurance segment.
You will develop a business plan, with your team and ecosystem partners, that accelerates consumption within existing customer accounts, identifies and acquires new customers and enables you to exceed quarterly/annual usage and booking goals
You will lead customers and partners to identify impactful big data and AI use cases whilst proving out 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

Knowledge of the Data & AI space with technology sales experience
Understanding of how to identify all key uses cases and buying centres in an opportunity to increase the impact and business value of Databricks in an organisation
Methods for co-developing business cases and gaining support from C-level Executives
Experience of building effective champions, collaborative teams and partnerships to support execution of your territory plan.
Understanding of consumption based land and expand sales models
Experience of following robust sales methodologies and process, e.g. account planning, MEDDPICC, Value Selling and accurate forecasting
Longevity with previous employers

Private medical, dental and cash refunds for health expenses
Life, disability and critical illness coverage
Group personal pension with company contribution
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel accident insurance
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Cond 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.
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.

London, United Kingdom