企业客户经理,医疗健康
Enterprise Account Executive, Healthcare
SLSQ427R374
作为 Databricks 的企业客户经理,您是一位在向大型医疗客户销售方面有丰富经验的战略销售人员。您懂得如何通过扩展客户愿景来销售创新和变革,并能推动交易以缩短决策周期。您喜欢深入了解产品,并热衷于向客户和系统集成商传达其价值。您总是寻找新的机会,将被要求维护并拓展两个医疗客户。除了有机会完成一个激动人心的交易,我们还提供超过 100% 销售目标的激励。
Databricks 处于统一数据智能和 AI 领域的最前沿。我们的客户选择我们来引领他们业务所需的加速创新,从而在当今竞争激烈的市场中获得先发优势。随着我们快速扩张,我们正在寻找一位富有创造力、注重执行的企业客户经理加入 Databricks 团队,最大化 Databricks 所面临的巨大市场机遇。
向我们企业医疗销售总监汇报,您将负责医疗领域的企业客户。您将带着对大数据、高级分析和 AI 的深刻理解,这将有助于指导您的成功执行策略,并为您客户提供真正的价值。
您将产生的影响:
- 与 CIO、IT 高管、业务部门高管、项目负责人和其他重要合作伙伴会面
- 拓展两个企业级医疗客户
- 识别并完成快速的小型胜利,同时管理更长、更复杂的销售周期
- 超额完成活动、销售管道和收入目标
- 在 Salesforce 中跟踪所有客户信息,包括使用场景、采购时间表、下一步计划和预测
- 采用基于解决方案的销售方式,为客户创造价值
- 推广由 Apache Spark™ 驱动的 Databricks 企业云数据平台
- 确保客户满意度达到 100%
- 优先处理机会并合理分配资源
- 在 Databricks 内部和客户外部制定成功计划
我们寻找的人选:
- 您曾在早期阶段公司工作过,了解如何在其中导航并取得成功
- 在大数据、云计算或 SaaS 销售领域有现场销售经验
- 有管理大型复杂医疗客户的经验者优先
- 曾与 CIO、项目经理等客户建立过关系
查看英文原文
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 Range Transparency
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 Pay Range
$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.