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医疗健康企业客户经理

雇主

Databricks

地点

远程 · 美国

待遇

$USD 272,000 - USD 374,000 / yearly

工作模式

远程

截止日期

12月13日

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岗位摘要

SLSQ427R374 As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling to large healthcare accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its…

岗位职责

SLSQ427R374
As an Enterprise Account Executive at Databricks, you are a strategic sales professional experienced in selling to large healthcare accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to maintain and grow two healthcare accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.
Databricks operates at the leading edge of the Unified Data Analytics and AI space. Our customers turn to us to lead the accelerated innovation that their businesses need to gain first-mover advantage in today’s ultra-competitive landscape. As we continue our rapid expansion, we are looking for a creative, execution-oriented Enterprise Account Executive to join the Databricks team and maximize the phenomenal market opportunity that exists for Databricks.
Reporting to our Director of Enterprise Healthcare Sales, you will map to enterprise clients under the Healthcare umbrella. You will come with an informed point of view on Big Data, Advanced Analytics, and AI, which will help to guide your successful execution strategy and allow you to provide genuine value to the client
The impact you will have:
Meet with the CIO, IT executives, LOB executives, Program Managers, and other important partners
Grow two enterprise healthcare accounts
Identify and close quick, small wins while managing longer, complex sales cycles
Exceed activity, pipeline, and revenue targets
Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
Use a solution-based approach to selling and creating value for your customer
Promote Databricks' enterprise cloud data platform powered by Apache Spark™
Ensure 100% satisfaction among your customer
Prioritize opportunities and apply appropriate resources
Build a plan for success internally at Databricks and externally with your accounts
What we look for:
You have previously worked in an early-stage company, and you know how to navigate and be successful
Field sales experience within big data, Cloud, or SaaS sales
Experience managing large, complex Healthcare accounts is preferred.
Prior customer relationships with CIOs, program managers, and essential decision makers
Simply articulate intricate cloud technologies
7+ years experience exceeding sales quotas
Success closing new accounts while working existing accounts
Understanding of Spark and big data preferable
Passion for cloud technologies
Bachelor's Degree
Pay RangeTransparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local PayRange
$272,000—$374,000 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.

申请条件

- 具备向大型医疗保健客户进行销售的战略销售经验
- 能够通过客户愿景扩展来销售创新和变革,并引导交易推进以压缩决策周期
- 对深入理解产品有热情,并热衷于向客户和系统集成商传达产品价值
- 能够维护和增长两个医疗保健客户
- 对大数据、高级分析和AI有深入的见解
- 能够与CIO、IT高管、业务线高管、项目经理及其他重要合作伙伴会面
- 能够识别并完成快速、小规模的胜利,同时管理更长、复杂的销售周期
- 能够超越活动、管道和收入目标
- 能够在Salesforce中跟踪所有客户细节,包括用例、购买时间框架、下一步行动和预测
- 能够使用基于解决方案的销售方法为客户创造价值
- 能够推广Databricks由Apache Spark™驱动的企业云数据平台
- 能够确保100%的客户满意度

雇主简介

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics, helping customers solve complex data problems.

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