高级客户赋能 AI 项目经理
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Senior Customer Enablement AI Programs ManagerDatabricks · 美国 · From 1
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职位描述
机器翻译CSQ426R319
高级客户赋能 AI 项目经理
作为高级客户赋能 AI 项目经理，您将负责 Scaled Customer Enablement Agent Suite 的 AI 战略和路线图——将 GTM 激活、应用 AI 和赋能战略整合在一起。您将定义这些代理如何检索、推理并呈现赋能洞察给全球客户团队，将学习者和客户数据转化为具有指导性的、即时的建议，从而改善客户健康度并扩大我们客户群中受训用户的数量。
通过自动化 GTM 流程，您将确保客户团队和客户获得一致的 Databricks 赋能规划资源。您将负责推动客户赋能的 AI 路线图，使赋能成为我们客户和 Databricks 的战略杠杆并不断累积。
该职位将向全球客户赋能实践高级总监汇报。对于一位积极主动、富有创新精神、热衷于跨部门和跨地区工作的创业者来说，这是一个令人兴奋的机会。
您将产生的影响：
• 负责 Scaled Customer Enablement Agent Suite 的产品路线图和架构方向——定义生成赋能建议的数据输入、检索来源和代理行为。
• 主导 Scaled Customer Enablement Agent Suite 的推广并推动现场采用，向客户团队提供自动化的学习洞察和建议。
• 为检索构建赋能知识库——设计内容架构、元数据和分块方式，使代理返回准确、有依据的输出——并维护底层的客户赋能手册。
• 定义信号和触发器——使用模式、学习里程碑和客户健康度阈值——促使代理在恰当时机向客户团队呈现免费转付费的赋能机会。
• 与技术团队合作，将赋能行动号召和洞察直接嵌入现场工具中。
• 定义预测性信号和分析，在影响续约或消费之前标记新出现的客户健康度和技能差距，并将这些整合到领导层评审和经理辅导工具包中。
• 为代理输出建立评估和质量循环——定义“良好”的标准，衡量准确性和有据性，并与技术团队推动迭代。
我们寻找的条件
• 6 年以上在高增长 SaaS 环境中从事销售赋能、GTM 项目管理或销售运营的经验。
• 具有管理复杂工作流并交付可衡量采用率的全球现场行动的成功经验。
• 熟练掌握现代 AI 系统——RAG 管道、代理和 LLM 驱动的工作流。您了解检索来源、提示设计、上下文和数据层级以及有据性如何影响输出质量，并能将其转化为技术团队可据此构建的需求。
• 具有端到端负责某个产品或系统领域的经验——定义需求，与工程和数据团队协作，并将 AI 驱动能力从概念推进到现场采用。
• 能够自如地定义指标并开展实验——对代理性能进行埋点监测，衡量输出质量和现场采用率，并利用分析推动迭代。
• 出色的跨职能工作能力，能够跨销售、营销和技术团队协作，确保统一的赋能愿景。
• 擅长使用数据仪表板跟踪进展并传达数字背后的“业务故事”（例如，受训用户与消费提升之间的联系）。
• 能够在快速变化的环境中解决模糊问题，并将复杂战略转化为简单、可执行的现场指令。
• 熟悉教育技术或客户培训领域者优先。
• 熟悉赋能和知识内容必须如何为机器消费进行结构化（架构、元数据、模块化）者优先。
福利待遇
在 Databricks，我们致力于提供全面的福利和待遇，以满足所有员工的需求。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，我们致力于营造多元和包容的文化，让每个人都能脱颖而出。我们非常重视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、族裔、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、社会经济状况、退伍军人身份以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拒绝继续推进某位申请人。
薪资
Databricks 致力于公平和公正的薪酬实践。该职位的薪资范围列于下方，代表非佣金制职位的预期基本工资范围或佣金制职位的目标收入。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 预计会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。有关您所在地区属于哪个范围的更多信息，请访问我们的页面此处。
Zone 1 薪资范围 $117,400 — $161,350 USD
Zone 2 薪资范围 $105,600 — $145,200 USD
Zone 3 薪资范围 $99,800 — $137,150 USD
Zone 4 薪资范围 $93,900 — $129,150 USD
关于 Databricks
Databricks 是一家数据与 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 Fortune 500 企业——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，在全球设有 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。
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。
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职位描述
CSQ426R319
Senior Customer Enablement AI Programs Manager
As a Senior Customer Enablement AI Programs Manager, you will own the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite — bringing together GTM activation, applied AI, and enablement strategy. You will define how the agents retrieve, reason over, and surface enablement insights to global Account Teams, turning learner and account data into prescriptive, just-in-time recommendations that improve account health and grow the number of trained users across our customer base.
By automating GTM processes, you will ensure Account Teams and customers receive consistent Databricks enablement planning resources. You will be responsible for driving the AI roadmap for customer enablement, compounding enablement as a strategic leverage for our customers and for Databricks.
This role will report to the Global Customer Enablement Practice Senior Director. This is an exciting opportunity for a motivated and innovative entrepreneur with a passion for working across departments and across regions.
The impact you will have:
• Own the product roadmap and architecture direction for the Scaled Customer Enablement Agent Suite — defining the data inputs, retrieval sources, and agent behaviors that generate enablement recommendations.
• Lead the rollout and drive field adoption of the Scaled Customer Enablement Agent Suite, delivering automated learning insights and proposals to Account Teams.
• Structure the enablement knowledge base for retrieval — designing content schemas, metadata, and chunking so agents return accurate, grounded outputs — and maintain the underlying customer enablement playbook.
• Define the signals and triggers — usage patterns, learning milestones, and account-health thresholds — that prompt the agents to surface a free-to-paid enablement opportunity to Account Teams at the right moment.
• Partner with technical teams to embed enablement calls-to-action and insights directly into field tools.
• Define predictive signals and analytics that flag emerging account-health and skills gaps before they impact renewals or consumption, and integrate these into leadership reviews and manager coaching toolkits.
• Establish evaluation and quality loops for agent outputs — defining what “good” looks like, measuring accuracy and groundedness, and driving iteration with the technical team.
What we look for
• 6+ years of experience in Sales Enablement, GTM Program Management, or Sales Operations in a high-growth SaaS environment.
• Proven track record of managing complex workstreams and delivering global field motions with measurable adoption.
• Hands-on fluency with modern AI systems — RAG pipelines, agents, and LLM-powered workflows. You understand how retrieval sources, prompt design, context and data hierarchies, and grounding affect output quality, and can translate that into requirements a technical team can build against.
• Demonstrated experience owning a product or system area end to end — defining requirements, collaborating with engineering and data teams, and shipping AI-powered capabilities from concept to field adoption.
• Comfort defining metrics and running experiments — instrumenting agent performance, measuring output quality and field adoption, and using analytics to drive iteration.
• Exceptional ability to work cross-functionally across Sales, Marketing, and Technical teams to ensure a unified enablement vision.
• Expert at using data dashboards to track progress and communicate the "business story" behind the numbers (e.g., the link between enabled users and consumption lift).
• Able to solve ambiguous problems in a fast-moving environment and translate complex strategies into simple, executable field instructions.
• Familiarity with the education technology or customer training landscape is a significant plus.
• Familiarity with how enablement and knowledge content must be structured for machine consumption (schemas, metadata, modularity) is a strong plus.
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 $117,400 — $161,350 USD
Zone 2 Pay Range $105,600 — $145,200 USD
Zone 3 Pay Range $99,800 — $137,150 USD
Zone 4 Pay Range $93,900 — $129,150 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 .