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合作伙伴赋能运营经理

机器翻译
查看雇主原标题Partner Enablement Operations Manager

Databricks · Bengaluru, India; Mumbai, 印度

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 42/100,仅依据与该职位一起存储的证据计算。

42/100 发现指数
  • 新的雇主官方职位

分数构成

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  • 雇主官方来源+15
  • 稀有职位+1
  • 公司来源健康度+8

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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

FEQ327R583

合作伙伴赋能运营经理是一位资深运营者和构建者,负责为 Databricks 的合作伙伴赋能设计并运行可扩展、可预测且数据驱动的运营模式。

该职位是合作伙伴赋能的运营支柱和战略整合者,将全球战略与 AMER、EMEA 和 APJ 各地区的执行连接起来,同时确保项目以一致、高效且规模化的方式交付。

理想的候选人具备强大的高管风范、系统思维以及对自动化的偏好。他们知道如何减少运营摩擦、建立可扩展的治理机制,并引入 AI 赋能的工作流程,在不增加不必要的复杂性或人员编制的情况下提升响应能力。

我们正在寻找一位能够架构运营系统并推动未来可扩展性和卓越性的构建者。

岗位职责

• 负责合作伙伴赋能运营模式,包括将战略与执行连接起来的核心规划节奏、治理机制和执行框架。

• 为合作伙伴赋能领导层运行 QBR、MBR 和高管评审,使用清晰的指标和前瞻性洞察来推动问责和决策。

• 主导合作伙伴赋能计划的端到端执行,确保时间线、依赖关系和交付成果在跨职能和跨地区之间得到有效管理。

• 构建并维护仪表板和运营评审,以呈现合作伙伴参与度、项目绩效、风险信号以及需要干预的领域。

• 作为跨地区运营问题和升级的关键联系人,在解决即时摩擦的同时将反复出现的问题转化为结构性改进。

• 设计并实施可扩展的工作流程、SOP、SLA 和受理机制,以提高一致性、减少人工投入,并为内部利益相关者和合作伙伴创造更好的体验。

• 在受理、报告、支持、认证和合作伙伴运营中引入 AI 赋能和自动化优先的工作流程,在能够安全提升速度、质量和规模的地方加以应用。

• 与合作伙伴组织、学习与赋能、专业服务以及其他跨职能团队紧密协作,消除摩擦并改善整个合作伙伴生态系统的执行。

• 与更广泛的运营业务紧密合作,推动跨职能的想法交流和卓越实践,确保新方法和运营创新不仅在合作伙伴运营中推广。

• 建立明确的责任归属模式、决策权和治理护栏,以支持地区差异,同时不产生影子流程或运营不一致。

你将带来什么

必备资格

• 10 年以上学习运营、项目管理、专业服务运营或相关运营领导领域经验,且处于高增长技术环境中。

• 具备支持全球或多地区团队的成熟经验,并能将中央战略转化为可执行的运营计划。

• 优先具备数据与 AI 领域经验,对 Databricks 的平台能力、关键差异化优势和端到端解决方案有深入理解,并能够与技术利益相关者有效合作。

• 在复杂的矩阵式环境中,具备对运营节奏、预测、规划和执行框架的成熟责任担当。

• 强大的分析能力,能够将数据转化为高管洞察、运营决策和可衡量的业务成果。

• 具备改进流程和工作流的经验,并有通过自动化或 AI 赋能解决方案减少人工投入并提升规模的明确业绩记录。

• 强大的利益相关者管理能力,以及在没有直接职权的情况下影响跨职能高级领导者的能力。

• 能够独立工作,跨时区管理优先级,并在模糊且快速变化的环境中推动执行。

• 必须愿意接受灵活的工作安排,包括频繁加班,以便与更广泛的赋能团队和合作伙伴联络人进行讨论,其中大多数人位于 AMER 时区。

任职要求

• 具备合作伙伴赋能、客户教育、学习运营或培训运营方面的经验。

• 在与系统集成商 (SI) 和 ISV 合作及为其服务方面拥有深厚专业知识,并对其核心运营原则和商业模式有深入把握。

• 熟练使用用于简化运营并生成可执行洞察的 AI 工具、工作流自动化和分析平台。

• 强大的商业和运营敏锐度,包括熟悉利用率、预测、合作伙伴支出、利润率思维或与 RevOps 一致的执行。

• 具备在高度矩阵化的国际环境中运营的经验,并对地区和文化差异保持敏感。

福利待遇

你将在塑造 Databricks 合作伙伴赋能如何扩展方面发挥核心作用。

这是一个高可见度且具有重要影响力的职位,提供构建更高效、治理更完善且 AI 赋能的运营模式的机会,帮助我们的合作伙伴生态系统随业务共同成长。

如果你喜欢将模糊转化为结构、构建消除摩擦的系统,并帮助团队通过更好的运营而非更多人工工作实现扩展,那么这个职位适合你。

成功指标

• 运营可预测性:建立有纪律的合作伙伴赋能运营节奏,使风险能够被及早发现,执行可衡量且一致。

• 利益相关者体验与自助能力:提高通过结构化、低接触或自助式工作流处理的标准合作伙伴赋能请求比例。

• 升级管理与流程韧性:通过改进升级处理、明确责任归属并改善反复出现问题的系统性解决,减少反复出现的运营摩擦。

• 可扩展执行:在不依赖增量人工工作的情况下,提高全球合作伙伴赋能项目的吞吐量、一致性和交付质量。

• AI 赋能转型:部署实用的 AI 赋能工作流,在受理、报告、支持和合作伙伴运营中提升速度、可见性和效率。

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 构建并扩展数据与 AI 应用、分析和代理。Databricks 总部位于旧金山,在全球拥有 30 多个办公室,提供统一平台,包括 Genie、Lakebase、Agent Bricks、Lakeflow、Lakehouse 和 Unity Catalog。如需了解更多,请在 LinkedIn、X、YouTube 和 Instagram 上关注 Databricks。

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。

我们对多元与包容的承诺

在 Databricks,我们致力于营造多元且包容的文化,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。申请 Databricks 职位的人员不会因年龄、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

FEQ327R583

The Partner Enablement Operations Manager is a senior operator and builder responsible for designing and running a scalable, predictable, and data-driven operating model for partner enablement at Databricks.

This role serves as the operational backbone and strategic integrator for partner enablement, connecting global strategy to the execution across AMER, EMEA, and APJ regions while ensuring programs are delivered consistently, efficiently, and at scale.

The ideal candidate brings strong executive presence, systems thinking, and a bias for automation. They know how to reduce operational friction, build governance that scales, and introduce AI-enabled workflows that improve responsiveness without adding unnecessary complexity or headcount.

We are looking for a builder who can architect operating systems and drive scalability and excellence for the future.

岗位职责

• Own the partner enablement operating model, including core planning cadences, governance mechanisms, and execution frameworks that connect strategy to execution.

• Run QBRs, MBRs, and executive reviews for partner enablement leadership, using clear metrics and forward-looking insights to drive accountability and decision-making.

• Lead end-to-end execution of partner enablement initiatives, ensuring timelines, dependencies, and deliverables are managed effectively across functions and regions.

• Build and maintain dashboards and operating reviews that surface partner engagement, program performance, risk signals, and areas requiring intervention.

• Act as a key point of contact for cross-regional operational issues and escalations, resolving immediate friction while converting recurring issues into structural improvements.

• Design and implement scalable workflows, SOPs, SLAs, and intake mechanisms that improve consistency, reduce manual effort, and create a better experience for internal stakeholders and partners.

• Introduce AI-enabled and automation-first workflows for intake, reporting, support, certification, and partner operations where they can safely improve speed, quality, and scale.

• Collaborate closely with the Partner organization, Learning and Enablement, Professional Services, and other cross-functional teams to remove friction and improve execution across the partner ecosystem.

• Partner closely with the broader operations business to drive cross-functional leverage of ideas and excellence, ensuring new methods and operational innovations are scaled beyond just partner operations.

• Establish clear ownership models, decision rights, and governance guardrails to support regional nuance without creating shadow processes or operational inconsistencies.

What You Bring

Required Qualifications

• 10+ years of experience in Learning Operations, Program Management, Professional Services Operations, or a related operational leadership field in a high-growth technology environment.

• Proven experience supporting global or multi-region teams and translating central strategy into executable operating plans.

• Preferred experience in the Data & AI space, with a strong understanding of Databricks' platform capabilities, key differentiators, and end-to-end solutions, and the ability to work effectively with technical stakeholders.

• Demonstrated ownership of operating cadence, forecasting, planning, and execution frameworks in a complex, matrixed environment.

• Strong analytical capability and the ability to turn data into executive insight, operational decisions, and measurable business outcomes.

• Experience improving processes and workflows, with a clear track record of reducing manual effort and increasing scale through automation or AI-enabled solutions.

• Strong stakeholder management skills and the ability to influence senior leaders across functions without direct authority.

• Ability to work independently, manage priorities across time zones, and drive execution in ambiguous, fast-moving environments.

• Must be open to working a flexible schedule, including frequent late hours to accommodate discussions with the broader enablement team and partner liaisons, the majority of whom are based in the AMER timezone.

任职要求

• Experience in partner enablement, customer education, learning operations, or training operations.

• Deep expertise working with and for System Integrators (SIs) and ISVs, with a strong grasp of their core operational principles and business models.

• Fluency with AI tools, workflow automation, and analytics platforms used to streamline operations and generate actionable insights.

• Strong commercial and operational acumen, including comfort with utilization, forecasting, partner spend, margin thinking, or RevOps-aligned execution.

• Experience operating in a highly matrixed international environment with sensitivity to regional and cultural nuance.

福利待遇

You will play a central role in shaping how partner enablement scales at Databricks.

This is a high-visibility role with meaningful impact, offering the opportunity to build a more efficient, governed, and AI-enabled operating model that helps our partner ecosystem grow with the business.

If you enjoy turning ambiguity into structure, building systems that remove friction, and helping teams scale through better operations rather than more manual work, this role is for you.

Success Metrics

• Operational Predictability: Build a disciplined partner enablement operating cadence where risks are surfaced early and execution is measurable and consistent.

• Stakeholder Experience and Self-Sufficiency: Increase the percentage of standard partner enablement requests handled through structured, low-touch, or self-service workflows.

• Escalation Management and Process Resilience: Reduce recurring operational friction by improving escalation handling, clarifying ownership, and improving systemic resolution of recurring issues.

• Scalable Execution: Improve throughput, consistency, and delivery quality across global partner enablement programs without relying on incremental manual work.

• AI-Enabled Transformation: Deploy practical AI-enabled workflows that improve speed, visibility, and efficiency across intake, reporting, support, and partner operations.

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 .

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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