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售前工程经理(零售与消费品)

机器翻译
查看雇主原标题Pre-sales Engineering Manager (Retail & CPG)

Databricks · London, 英国

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 44/100,仅依据与该职位一起存储的证据计算。

44/100 发现指数
  • 新的雇主官方职位

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 稀有职位+3
  • 公司来源健康度+8

该职位未包含:已披露薪资、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

(FEQ427R369)

作为现场工程(数据与人工智能)经理,您将领导一支售前解决方案架构师团队,专注于复杂的战略性客户,帮助引领我们在英国和爱尔兰的扩张,特别关注零售和消费品包装行业。您与销售组织合作的经验将有助于推动客户加速采用该平台,并通过收入增长加以体现,同时指导新的销售和售前团队成员协同工作。您将指导您的团队,并参与能够提升团队效能的机会。您必须是一位技艺娴熟的沟通者,拥有处理复杂的、以业务价值为重点的解决方案的经验;支持复杂的销售周期;并与大型企业中的关键利益相关者建立关系。

您将向现场工程总监汇报。

您将产生的影响:

• 管理招聘、入职并建设您的售前解决方案架构师团队

• 在需要时,快速扩展指定团队而不牺牲质量

• 能够以身作则,利用人工智能改进日常工作流程以扩大团队产出

• 在快速增长的团队中建立协作文化。体现并推广 Databricks 以客户为中心、团队合作和多元化的文化

• 通过将解决方案架构师投入销售周期来支持消费收入的增长

• 推广基于解决方案和价值销售的现场工程组织

• 展现对指定区域内客户的业务需求和收入潜力的理解

• 与市场营销和销售团队合作,在英国和爱尔兰建立 Databricks 的品牌

• 以身作则,直接与关键客户利益相关者接触,以确保并加快客户项目和技术实施决策

• 帮助我们不断演进流程以支持我们的业务和技术增长,从而激励我们的客户,助力 Databricks 持续扩张

我们寻找的人才:

• 具备人工智能原生构建者的心态,利用人工智能提升您自己和团队的生产力

• 拥有售前领导职位的经验——开发、管理和建设一支成功的大数据、人工智能或云专业人士团队。

• 拥有在英国和爱尔兰的零售和消费品包装行业面向客户角色的经验

任职要求

• 拥有扩展和指导现场及技术团队的经验

• 对数据驱动决策、人工智能和云软件模式有深入了解并充满热情

• 擅长为技术现场成员制定流程以提高效率

#LI-hybrid 关于 Databricks

Databricks 是数据与人工智能公司。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 强企业——依赖 Databricks Data + AI Platform 来构建和扩展数据与人工智能应用、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。如需了解更多信息,请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。

福利待遇

在 Databricks,我们致力于提供满足所有员工需求的全面福利和津贴。如需了解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,我们致力于培育一种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,其考量不因年龄、肤色、残疾、族裔、家庭或婚姻状况、性别认同或表达、语言、国籍、身体和精神能力、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受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,且雇主可能仅基于此原因而拒绝继续推进某位申请人。

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

(FEQ427R369)

As a Manager, Field Engineering (Data and AI), you will lead a team of pre-sales Solutions Architects focusing on complex, strategic accounts, helping to lead our UK&I expansion with a specific focus on the Retail and Consumer Packaged Goods sectors. Your experience partnering with sales organisations will help to drive accelerated adoption of the platform in customers, demonstrated by revenue growth, while coaching new sales and pre-sales team members to work together. You will guide your team and be involved with opportunities to enhance your team's effectiveness. You must be a skilled communicator with experience addressing complex, business value-focused solutions; supporting complex sales cycles; and building relationships with key stakeholders in large corporations.

You will report to the Director, Field Engineering.

The impact you will have:

• Manage hiring, onboarding and building your Pre-Sales Solutions Architect team

• Where required, rapidly scale the designated team without sacrificing quality

• Comfortable leading by example by using AI to improve day-to-day workflows to scale the team output

• Build a collaborative culture within a rapid-growth team. To embody and promote Databricks' customer-obsessed, teamwork and diverse culture

• Support an increase in consumption revenue through the investment of Solutions Architect involvement in sales cycles

• Promote a solution and value-based selling field-engineering organisation

• Display an understanding of business needs and revenue potential for accounts in the assigned region

• Build Databricks' brand in UK&I in partnership with the Marketing and Sales team

• Lead from the front by engaging directly with key customer stakeholders to ensure and speed up customer projects and technical implementation decisions

• Help Databricks continue to expand by inspiring our customers as we evolve our processes to support our business and technical growth

What we look for:

• Have AI native builder mentality by using AI to enhance your own productivity and that of your team

• Experience in a pre-sales leader role - developing, managing and building a team of successful Big Data, AI, or Cloud professionals.

• Experience in a customer-facing role across the Retail and CPG sectors in the UK and Ireland

任职要求

• Have experience scaling and mentoring field and technical teams

• Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models

• Great at instituting processes for technical field members to improve efficiency

#LI-hybrid 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 .

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.

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