企业级地理猎手客户经理 - 金融服务
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Enterprise Geo Hunter Account Executive - Financial ServicesDatabricks · Northeast - 美国 · From 1
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发现指数 57/100,仅依据与该职位一起存储的证据计算。
- 新的雇主官方职位
- 已披露薪资
分数构成
- 时效性 (随职位发布时间变化)+18
- 雇主官方来源+15
- 已披露薪资+15
- 稀有职位+1
- 公司来源健康度+8
该职位未包含:远程职位、提及签证担保、提及搬迁、未出现在监控的职位板上。
这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。
职位描述
机器翻译SLSQ427R441
作为 Databricks 的企业级区域猎手客户经理,您是一位经验丰富的销售专业人士,拥有向金融服务客户销售的经验。您懂得如何通过扩展客户愿景来销售创新与变革,并能引导交易向前推进以压缩决策周期。您热爱深入了解产品,并热衷于向客户和系统集成商传达其价值。始终寻找新机会,您将被要求猎取净新客户。除了有机会完成令人兴奋的交易外,我们还提供超过 100% 配额完成度的加速器。
您将产生的影响:
• 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
• 完成新客户和现有客户的交易
• 在管理更长、更复杂的销售周期的同时,识别并完成快速、小型的胜利
• 超越活动、管线和收入目标
• 在 Salesforce 中跟踪所有客户详细信息,包括用例、购买时间框架、后续步骤和预测
• 使用基于解决方案的方法进行销售并为客户创造价值
• 推广由 Apache Spark™ 提供支持的 Databricks 企业云数据平台
• 确保所有客户 100% 满意
• 优先考虑机会并应用适当的资源
• 在 Databricks 内部以及与您的客户外部制定成功计划
我们寻找:
• 您曾在早期阶段公司工作过,并且知道如何应对并取得成功
• 大数据、云或 SaaS 销售领域的现场销售经验
• 之前与 CIO、项目经理和关键决策者建立的客户关系
• 能够清晰地阐述复杂的云技术
• 4 年以上超越销售配额的经验
• 最好具备金融机构方面的专业知识
• 成功完成净新业务
• 最好了解 Spark 和大数据
• 对云技术充满热情
• 学士学位
福利待遇
在 Databricks,我们努力提供满足所有员工需求的全面福利和津贴。有关您所在地区所提供福利的具体详情,请点击此处。
我们对多元化和包容性的承诺
在 Databricks,我们致力于培养多元化和包容性的文化,让每个人都能脱颖而出。我们非常谨慎地确保我们的招聘实践具有包容性并符合平等就业机会标准。在 Databricks 寻求就业的个人不会因年龄、肤色、残疾、种族、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和心理能力、政治派别、种族、宗教、性取向、社会经济地位、退伍军人身份及其他受保护特征而受到区别对待。
合规
如果履行工作职责需要访问出口管制的技术或源代码,雇主可自行决定是否为此类职位申请美国政府许可证,并且雇主可能仅基于此理由拒绝继续处理申请人的申请。
薪资
Databricks 致力于公平和公正的薪酬实践。该职位的薪酬范围列于下方,代表非佣金职位的预期基本工资范围或佣金职位的目标收入。实际薪酬方案基于每位候选人独有的若干因素,包括但不限于与工作相关的技能、经验深度、相关认证和培训以及具体工作地点。基于上述因素,Databricks 预计将使用该范围的全部宽度。该职位的总薪酬方案还可能包括年度绩效奖金、股权以及上述福利的资格。有关您所在位置属于哪个范围的更多信息,请访问我们的页面此处。
第 1 区薪酬范围 $167,100 — $229,800 USD
第 2 区薪酬范围 $167,100 — $229,800 USD
第 3 区薪酬范围 $167,100 — $229,800 USD
第 4 区薪酬范围 $167,100 — $229,800 USD
关于 Databricks
Databricks 是数据和 AI 公司。全球超过 20,000 家组织——包括 adidas、AT&T、Bayer、Block、Mastercard、Rivian、Unilever 以及 70% 的财富 500 强——依赖 Databricks Data + AI Platform 来构建和扩展数据与 AI 应用、分析和代理。Databricks 总部位于旧金山,在全球拥有 30 多个办事处,提供统一平台,包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。要了解更多信息,请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。
以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。
查看雇主原文
职位描述
SLSQ427R441
As an Enterprise Geo Hunter Account Executive at Databricks, you are a seasoned sales professional with experience selling to Financial Services 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 hunt after net new logos. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.
The impact you will have:
• Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
• Close both new accounts and existing 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 customers
• Promote Databricks' enterprise cloud data platform powered by Apache Spark™
• Ensure 100% satisfaction among all customers
• Prioritize opportunities and applying 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
• Prior customer relationships with CIOs, program managers, and essential decision makers
• Simply articulate intricate cloud technologies
• 4+ years experience exceeding sales quotas
• Expertise with financial services institutions preferable
• Success closing net new business
• Understanding of Spark and big data preferable
• Passion for cloud technologies
• Bachelor's Degree
福利待遇
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.
薪资
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base 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 anticipated 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 .
Zone 1 Pay Range $167,100 — $229,800 USD
Zone 2 Pay Range $167,100 — $229,800 USD
Zone 3 Pay Range $167,100 — $229,800 USD
Zone 4 Pay Range $167,100 — $229,800 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 .