销售开发 AI 项目经理
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Sales Dev AI Program ManagerDatabricks · 新加坡
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职位描述
机器翻译SLSQ327R270
销售开发 AI 项目团队直接与 Databricks 的销售开发和销售领导层合作,打造全球顶尖的漏斗顶端引擎,为每一位 xDR 和 AE 赋能,提供拓客工具和项目,将市场潜力转化为可预测的收入。
我们处于战略、AI 和一线业务的交汇点,我们负责的项目将规模化、AI 原生的拓客从实验转变为运营标准。
我们正在寻找一位销售开发 AI 项目经理,负责一个覆盖整个上市组织的 AI 优先拓客项目的成果与检查、指标设计、衡量与报告、治理、基准对标、赋能、内容战略和变革管理。
在这个职位上,你将设计并运行使规模化 AI 项目得以运作的运营机制、高管节奏和风险监督、与 BDR 经理和 FLM 的优先级排序、跨 AI 和传统 Outreach 的序列治理,以及告诉我们哪些有效、哪些无效的报告和检查。你以极高的严谨性交付日常项目管理,并且始终不忘 AI 原生拓客模式应如何从第一性原理构建。
与销售开发领导层一起,你将与 AI Ops、Strategy Ops、Sales Programs、Marketing Ops、Enablement、GTM Analytics 以及外部技术合作伙伴协作,推动采用、闭环用户信号,并持续提升项目绩效标准。
理想的候选人是一位自我驱动、拥有无尽好奇心的人,能够跨职能协作,端到端解决复杂问题。我们正在寻找一位 AI 娴熟、运营严谨、对高容量拓客应如何运作有战略思考,并倾向于从第一性原理重新设计工作流程而非维护遗留流程的人。
这是一个独特的机会,在科技行业增长最快的公司之一定义规模化、AI 原生拓客的样貌,并为行业树立蓝图。
你将产生的影响
• 负责我们四个 BU 之一的 Programs 支柱,包括成果与检查、指标设计、衡量与报告、治理、基准对标、赋能、内容战略和变革管理。
• 共同运行高管节奏和风险监督:定期向领导层汇报项目健康状况、管道节奏和采用情况,并尽早暴露风险。
• 推动优先级排序和一致性:与销售开发和销售领导定期开展节奏会议,获取反馈、确定优先级并运营项目(SPIF、竞赛、报告审查)。
• 负责报告和检查:构建数据基础以及面向高管和一线业务的报告,解释跨序列、战术和细分哪些有效、哪些无效。
• 负责序列治理:通过集中设计加每月效能审查,标准化并审计 Outreach 序列(AI 和传统)。
• 建设社区和推动采用:将被动用户转变为倡导者(AI Prospecting Council、顾问委员会、将智能体拟人化、在用户工作的地方与其会面),并推动一线一致性、准备度和采用。
• 共同负责一线体验,并与 AI Ops 保持一致,同时与 Sales Ops、Strategy Ops、Marketing Ops、Enablement、GTM Analytics 和 IT 合作。
• 成为力量倍增器:为老问题带来新思维,构建可规模化的 AI 驱动工具包,并提升整个团队的技术标准。
我们寻找什么
• AI 娴熟是硬性要求。你将 AI 工具作为日常工作流程的一部分,作为倍增器使用。
• 强烈偏好有“在原本一无所有之处构建出东西”背景的人。理想画像包括超高速增长公司的项目或 GTM 战略、销售开发/拓客项目负责人、成长阶段初创公司的幕僚长,以及有运营经验的前咨询顾问。我们希望人们在尚无现成打法之处茁壮成长,并亲手构建它。
• 卓越的细节关注度和数据完整性本能。这个职位要求持续、高质量的运营交付:准确面向高管的工作、按时交付、状态完整性、零缺陷输出。你能发现差异,追溯其根本原因,并且不会交付一个你无法为之辩护的数字。
• 项目负责人导向。你想做这份工作中的运营部分,而不仅仅是设计它们。
• 对高容量拓客的战略思维。你对规模化覆盖、AI 试点、合作伙伴主导的动作和程序化互动应如何运作有自己的观点,并且你想重新定义拓客运营模式,而不是维护它。
• 能适应模糊性。这个职位没有完整的打法手册。合适的候选人会因此充满动力,而不是被动摇。
• 强大的技术深度,包括 SQL,熟悉较新的数据工具(Databricks SQL、Genie、自定义智能体),并愿意快速学习。
• “把事情做成”的态度,既能设计项目战略,又能以高度关注细节将其运营化。
• 在高度诚实、正直和良好判断力的协作环境中表现出色。你会记录并教授你所构建的东西。
• 出色的口头和书面沟通能力。能够定期向领导层汇报。你能产出可直接呈交领导的演示文稿、高管摘要文档和量化商业案例。
这个职位不是什么
• 不是纯战略职位。如果你只想思考而不执行,这不是合适的职位。工作中的运营部分、节奏、报告、治理,都不是可选项。
• 不是维护当前模式的职位。我们需要一个会挑战 AI 时代拓客如何运作,并从第一性原理重建它的人。
• 不适合对体量、模糊性或节奏感到不适的人。该项目触及整个销售开发组织,运营节奏也反映了这一点。
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 Fortune 500——依赖 Databricks Data + AI Platform 构建和扩展数据与 AI 应用、分析和智能体。Databricks 总部位于 San Francisco,在全球拥有 30+ 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。
福利待遇
在 Databricks,我们致力于提供全面的福利和津贴,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。
我们对多元与包容的承诺
在 Databricks,我们致力于培育多元和包容的文化,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,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。
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职位描述
SLSQ327R270
The Sales Dev AI Programs Team works directly with Databricks' Sales Development and Sales leadership to architect the world's elite top-of-funnel engine, empowering every xDR and AE with the prospecting tools and programs to convert market potential into predictable revenue.
We sit at the intersection of strategy, AI, and the field, and we own the programs that turn scaled, AI-native prospecting from an experiment into the operating standard.
We are looking for a Sales Dev AI Program Manager to own outcomes and inspection, metric design, measurement and reporting, governance, benchmarking, enablement, content strategy, and change management for an AI-first prospecting program that touches the entire go-to-market organization.
In this role, you will design and run the operating mechanisms that make the Scaled AI program work, executive cadences and risk oversight, prioritization with BDR managers and FLMs, sequence governance across AI and legacy Outreach, and the reporting and inspection that tells us what's working and what isn't. You deliver the day-to-day program management with exceptional rigor and never lose sight of how an AI-native prospecting model should be built from first principles.
Alongside Sales Dev leadership, you'll partner across AI Ops, Strategy Ops, Sales Programs, Marketing Ops, Enablement, GTM Analytics, and external technology partners to drive adoption, close the loop on user signals, and continuously raise the bar on program performance.
The ideal candidate is a self-starter with endless curiosity who can work cross-functionally to tackle complex problems end-to-end. We're looking for someone who is AI-fluent, operationally rigorous, strategic about how high-volume prospecting should operate, and biased toward redesigning workflows from first principles rather than maintaining legacy ones.
This is a unique opportunity to define what scaled, AI-native prospecting looks like at one of the fastest-growing companies in tech, and to set the blueprint for the industry.
The impact you'll have
• Own the Programs pillar for one of our four BUs, including outcomes & inspection, metric design, measurement & reporting, governance, benchmarking, enablement, content strategy, and change management.
• Co-run executive cadences and risk oversight: deliver regular updates to leadership on program health, pipeline pacing, and adoption, and surface risks early.
• Drive prioritization and alignment: run regular cadences with Sales Dev and Sales leaders to get feedback, prioritize and operate programs (SPIFs, contests, reporting reviews).
• Own reporting and inspection: build the data foundation and executive- and field-facing reporting that explains what works and what doesn't across sequences, tactics, and segments.
• Own sequence governance: standardize and audit Outreach sequences (AI and legacy) with central design plus a monthly efficacy review.
• Build community and adoption: turn passive users into advocates (AI Prospecting Council, advisory boards, personifying the agents, meeting users where they work) and drive field alignment, readiness, and adoption.
• Co-own field experience, and alignment with AI Ops, and partner across Sales Ops, Strategy Ops, Marketing Ops, Enablement, GTM Analytics, and IT.
• Be a force multiplier: bring fresh thinking to old problems, build AI-powered toolkits that scale, and raise the technical bar for the whole team.
What we look for
• AI fluency is non-negotiable. You use AI tools as part of your daily workflow as a multiplier.
• Strong preference for a "built something where there wasn't anything" background. Ideal profiles include program or GTM strategy at a hyper-growth company, sales development / prospecting program ownership, chief of staff at a growth-stage startup, and former consultants with operational experience. We want people who thrive where the playbook didn't exist yet, and built it.
• Exceptional attention to detail & data-integrity instinct. This role requires consistent, high-quality operational delivery: accurate exec-facing work, on-time delivery, status integrity, zero-defect output. You spot discrepancies, trace them to root causes, and won't ship a number you can't defend.
• Program ownership orientation. You want to do the operational parts of the job, not just architect them.
• Strategic mind for high-volume prospecting. You bring a perspective on how scaled coverage, AI pilots, partner-led motions, and programmatic engagement should operate and you want to redefine the prospecting operating model, not maintain it.
• Comfort with ambiguity. This role doesn't come with a complete playbook. The right candidate is energized by that, not destabilized.
• Strong technical depth including SQL, comfort with newer data tools (Databricks SQL, Genie, custom agents) and willingness to learn fast.
• "Get it done" attitude with the ability to architect program strategy AND operationalize it with high attention to detail.
• Excels in a collaborative environment with a high degree of honesty, integrity, and sound judgment. You document and teach what you build.
• Excellent spoken and written communication. Comfortable presenting to leaders regularly. You produce leader-ready decks, exec summary docs, and quantitative business cases.
What this role isn't
• Not a pure strategy role. If you want to think but not execute, this isn't the right role. The operational parts of the job, cadences, reporting, governance, aren't optional.
• Not a maintain-the-current-model role. We need someone who will challenge how prospecting operates in the age of AI and rebuild it from first principles.
• Not a role for someone uncomfortable with volume, ambiguity, or pace. The program touches the entire sales-development org, and the operating tempo reflects that.
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.