企业客户经理 - 快餐行业
Enterprise Account Executive - QSR
SLSQ327R771
虽然我们鼓励上述地点的候选人申请此职位，但其他地点的候选人也会被考虑。
- 远程办公 - 夏洛特（理想）
- 远程办公 - 北卡罗来纳州
- 远程办公 - 南卡罗来纳州
作为 Databricks 的战略企业客户经理，您是一位在财富 500 强客户中主导市场推广活动的销售专业人士。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。您喜欢深入理解产品，并热衷于向客户和系统集成商传达价值。
Databricks 处于统一数据分析和 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环境中获得先发优势。随着我们持续快速扩张，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旅游、交通与酒店团队，以最大化 Databricks 所面临的巨大市场机会。
您将向企业销售总监汇报工作，负责管理一个战略企业客户（快餐连锁）在旅游、交通与酒店行业的客户。您需要对大数据、高级分析和 AI 有深入的理解，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、项目经理和其他重要合作伙伴建立关系。
- 在客户内部推动基于价值的增长。
- 将 Databricks 的影响力扩展到新的业务单元和使用场景。
- 超额完成活动、销售线索和收入目标。
- 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™ 和 Delta Lake 支持的 Databricks 数据智能平台。
- 优先处理机会并利用合适的资源。
- 在 Databricks 内部和客户外部制定成功的计划。
我们寻找的人选：
- 您曾在早期阶段的公司表现出色——您知道如何在监督有限的情况下导航并取得成功
- 在大数据、云、SaaS 和按需销售模式方面有现场销售经验
- 曾与 CIO 和项目经理建立过客户关系
查看英文原文
SLSQ327R771
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
- Remote - Charlotte (ideal)
- Remote - NC
- Remote - SC
As a Strategic Enterprise Account Executive at Databricks, you are a sales professional experienced in leading go-to-market campaigns in Fortune 500 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 value to Customers and System Integrators.
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 Travel,Transportation & Hospitality team and maximize the phenomenal market opportunity that exists for Databricks.
Reporting to our Director of Enterprise Sales, you will manage a strategic enterprise client (QSR) in the Travel, Transportation & Hospitality vertical. 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:
- Build relationships with CIOs, IT executives, LOB executives, Program Managers, and other important partners.
- Drive value-based growth within the account.
- Expand the Databricks footprint into new business units and use cases.
- 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' Data Intelligence Platform powered by Apache Spark™ and Delta Lake
- Prioritize opportunities and leverage appropriate resources.
- Build a plan for success internally at Databricks and externally with your account
What we look for:
- You have previously excelled in an early-stage company -- you know how to navigate and be successful with limited oversight
- Previous field sales experience within big data, Cloud, SaaS, and a consumption selling motion
- Prior customer relationships with CIOs, program managers, and essential decision makers at local accounts
- The ability to simplify a technical capability into a value-based benefit
- 7+ years of Enterprise Sales experience exceeding quotas in larger accounts
- Managing a small set of enterprise accounts rather than a broad territory
- 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
$291,800—$401,300 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.