AI 个性化平台经理
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Staff Platform Manager, AI PersonalizationAirbnb · 美国
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- 稀有职位+11
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职位描述
机器翻译Airbnb 诞生于 2007 年,当时两位房东在他们旧金山的家中接待了三位房客,此后已发展到超过 500 万名房东,在全球几乎每个国家接待了超过 20 亿人次房客入住。每天,房东们提供独特的房源和体验,让房客能够以更真实的方式与社区建立联系。
你将加入的社区:
在 Airbnb,我们的使命是创造一个任何人都能归属于任何地方的世界。社区支持(CS)平台与工程团队处于这一使命的最前沿——构建为全球数百万房客和房东提供世界级支持体验的 AI 系统。我们正在朝着一个大胆的愿景迈进:我们的 AI 不只是回答问题,而是真正理解每个人的独特情境,复刻我们最优秀人工客服的判断力和同理心,并大规模提供 10 星支持。
AI 个性化团队是实现这一目标的情报层。我们拥有全栈系统,使 AI 能够为每位房客和房东提供仿佛专为他们撰写的回复。
你将带来的不同:
我们正在寻找一位有远见的资深平台经理,负责领导 Airbnb 客户支持生态系统中 AI 个性化的产品战略和执行。这是 CS 平台产品中最关键的职位之一:你将拥有个性化的全栈,从底层检索系统到面向消费者的 AI 体验,并将其扩展到 Airbnb 的多个界面。
北极星目标:使 AIA 能够复刻 Airbnb 最优秀人工客服的判断力、同理心和准确性。为实现这一目标,你将构建一个平台,持续丰富 AI 对每位用户的理解,并在正确的时刻、以正确的形式、在每个渠道上呈现这种理解。
这个职位要求一种罕见的组合:构建有意义且令人愉悦的个性化体验所需的客户体验能力,与 ML 工程师合作进行上下文检索架构和模型提示设计所需的技术素养,以及制定多年产品路线图、改变 AI 服务我们社区方式的战略愿景。
典型的一天:
• 为构建 10 星、个性化的社区支持的长期愿景做出贡献,构建一个平台,让我们的 AI 像每位房客和房东最好的真人支持者那样理解他们,并相应地做出回应。
• 与数据科学、ML 和运营团队合作,识别新的高信号个性化信号,以满足用户需求
• 负责跨 ML 模型、信号、模式和提示优化的产品路线图,确保正确的信息以最有效的形式到达模型。
• 推动个性化实验设计和衡量:定义 KPI(自助解决率、个性化覆盖率、引用准确性),主导实验设计,并将结果转化为清晰的产品决策。
• 与 ML 工程师合作,制定准确性、延迟和可扩展性改进的需求。
• 在 Airbnb 的 AI 界面中扩展个性化基础设施,确保平台具有足够的可扩展性,以满足每种模态的独特需求。
• 构建持续改进框架:定义团队如何识别个性化失败、确定修复优先级,并系统性地缩小 AI 与人工客服表现之间的差距。
• 与工程、ML、设计、数据科学和政策团队协作,在优先级上达成共识,推动跨职能一致,并从概念到生产严谨交付。
你的专长:
• 9 年以上行业经验并拥有学士/硕士学位,或 6 年以上经验并拥有博士学位,在消费者规模的 AI/ML 驱动平台方面拥有深厚专长
• 对个性化系统、上下文数据检索和 LLM 架构有扎实的工作知识——你能够就 RAG、检索优化和上下文工程权衡等主题与 ML 工程师进行可信的交流
• 有构建和交付支撑多个下游体验和界面的基础平台产品的过往记录
• 有设计和解读 A/B 实验及在线实验框架的经验;能够为复杂的 AI 系统负责端到端指标战略
• 具备将模糊信号综合为清晰、有优先级的产品决策的强大能力
• 经证实的跨职能领导力:能够围绕共同愿景协调 ML、工程、数据科学、设计和运营团队
任职要求
• 对 AI 自动化何时应让位于人类判断,以及如何设计使这一过渡无缝衔接的系统,具备敏锐的产品直觉
• 能够在多个抽象层级上工作——从检索系统的架构到房客试图解决取消纠纷时的体验
你的工作地点:
该职位为美国 - 可远程。根据与经理的约定,该职位可能包括偶尔在 Airbnb 办公室工作或参加异地活动。虽然该职位可远程,但你必须居住在 Airbnb, Inc. 拥有注册实体的州。点击此处查看最新的排除州列表。该列表持续变化,因此如果你居住的州在排除列表中,请再次与我们确认。如果你的职位由另一家 Airbnb 实体雇用,你的招聘人员将告知你可以从哪些州工作。
我们对包容与归属的承诺:
Airbnb 致力于与尽可能广泛的人才库合作。我们相信多元化的想法能够促进创新和参与,并使我们能够吸引具有创意领导力的人才,并开发最好的产品、服务和解决方案。鼓励所有符合条件的个人申请。
我们也努力提供对残障人士友好的申请和面试流程。如果你是残障候选人,并且在提交申请时需要合理便利,请通过以下方式联系我们:reasonableaccommodations@airbnb.com 。请包括你的全名、你申请的职位以及协助你完成招聘流程所需的便利。
我们请求你仅在你因残障而无法完成我们的在线申请时才联系我们。 我们将如何照顾你:
我们的职位名称可能跨越多个职业级别。实际基本工资取决于许多因素,例如:培训、可迁移技能、工作经验、业务需求和市场需求。基本工资范围可能会发生变化,并可能在未来进行修改。该职位也可能有资格获得奖金、股权、福利和员工旅行积分。
薪资
$200,000 — $240,000 USD
合理便利:我们致力于在整个招聘过程中为残障申请人提供合理便利。如果你需要帮助或便利,请在有人就职位联系你时告知你的招聘人员。
关于招聘诈骗的说明:诈骗者有时会冒充 Airbnb 招聘人员,从候选人那里骗取钱财或个人信息。对于 Airbnb 的招聘流程,有几件事始终属实:我们的空缺职位发布在 Airbnb 的职业页面上,网址为 careers.airbnb.com,我们的招聘人员仅通过 @ airbnb.com 或 @ ext.airbnb.com 电子邮件地址联系。我们的招聘人员在你面试期间绝不会询问你的社会安全号码、银行账户详细信息、护照或支付应用信息。我们也绝不会要求你在面试过程中支付费用、汇款、存入或兑现支票,或购买工作相关设备(例如公司笔记本电脑)。我们鼓励候选人对此类招聘诈骗保持警惕,如果你认为某个人实际上并非隶属于 Airbnb,请不要分享敏感信息。
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
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
The Community You Will Join:
At Airbnb, we're driven by our mission to create a world where anyone can belong anywhere. The Community Support (CS) Platform & Engineering team is at the forefront of this mission - building the AI systems that power world-class support experiences for millions of guests and hosts globally. We are building to a bold vision, where our AI doesn't just answer questions, but truly understands each person's unique context, mirrors the judgment and empathy of our highest-performing human agents, and delivers 10-Star support at scale.
The AI Personalization team is the intelligence layer that makes this possible. We own the full-stack systems that enable the AI to give every guest and host a response that feels written just for them.
The Difference You Will Make:
We are looking for a visionary Staff Platform Manager to lead the product strategy and execution for AI Personalization across Airbnb's customer support ecosystem. This is one of the most consequential roles in CS Platform Product: you will own the full stack of personalization, from the underlying retrieval systems to the consumer-facing AI experience, and scale it across multiple Airbnb surfaces.
The north star: enable AIA to emulate the judgment, empathy, and accuracy of Airbnb's highest-performing human agents. To achieve this, you'll build a platform that continuously enriches the AI's understanding of each user, and surfaces that understanding at the right moment, in the right form, across every channel.
This role demands a rare combination: customer experience chops to build meaningful and delightful personalized experiences, technical fluency to partner with ML engineers on contextual retrieval architectures and model prompt design, and the strategic vision to set a multi-year product roadmap that transforms how AI serves our community.
A Typical Day:
• Contribute towards the long-term vision for building 10-star, personalized community support, building a platform where our AI understands each guest and host the way their best human advocate would, and responds accordingly.
• Partner with data science, ML, and operations to identify new high-signal personalization signals to serve user needs
• Own the product roadmap across ML models, signals, schemas, and prompt optimization to ensure the right information reaches the model in the most effective form.
• Drive personalization experiment design and measurement: define KPIs (self-solve rate, personalization coverage, citation accuracy), lead experiment design, and translate results into clear product decisions.
• Collaborate with ML engineers to shape requirements for accuracy, latency, and scalability improvements.
• Scale personalization infrastructure across Airbnb's AI surfaces, ensuring the platform is extensible enough to serve each modality's unique needs.
• Build a framework for continuous improvement: define how the team identifies personalization failures, prioritizes fixes, and systematically closes the gap between AI and human agent performance.
• Collaborate across engineering, ML, design, data science, and policy to build consensus on prioritization, drive cross-functional alignment, and ship with rigor from concept to production.
Your Expertise:
• 9+ years of industry experience with a BS/Masters OR 6+ years with a PhD, with deep expertise in AI/ML-powered platforms at consumer scale
• Strong working knowledge of personalization systems, contextual data retrieval, and LLM architectures - you can engage credibly with ML engineers on topics like RAG, retrieval optimization, and context engineering tradeoffs
• Track record of building and shipping foundational platform products that power multiple downstream experiences and surfaces
• Experience designing and interpreting A/B experiments and online experiment frameworks; ability to own end-to-end metrics strategy for complex AI systems
• Strong capacity to synthesize ambiguous signals into clear, prioritized product decisions
• Proven cross-functional leadership: able to align ML, engineering, data science, design, and operations teams around a shared vision
任职要求
• Sharp product intuition for when AI automation should give way to human judgment, and how to design systems that make that transition seamless
• Ability to work at multiple levels of abstraction - from the architecture of a retrieval system to the experience of a guest trying to resolve a cancellation dispute
Your Location:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
Our Commitment To Inclusion & Belonging:
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.
We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com . Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process.
We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application. How We'll Take Care of You:
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
薪资
$200,000 — $240,000 USD
Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.
A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @ airbnb.com or @ ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing. We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.