高级总监，数据平台与人工智能
Senior Director, Data Platform and AI
### **✨ 一个平台，开启无限机遇**
最好的工作一直集中在世界最富裕的少数城市。但人才无处不在。Oyster致力于缩小这一差距——打造一个全球就业平台，让公司可以雇佣、支付并关怀世界各地的优秀人才。
我们证明了高性能的文化并不需要办公室。自2020年以来，我们分布在60多个国家，已经构建出被行业不断关注的东西：
- 在TIME和Statista的2026年[美国顶级WorkTech公司]（https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026）榜单中位列**第10名**
- 被Newsweek评为[2026年美国最棒的初创公司办公场所]之一（https://www.oysterhr.com/library/oyster-2026-newsweek-award）
- 在雇主代表、全球雇佣、多国薪资发放和人力资源合规领域，被评为[G2 2026年春季领导者]（https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026）
- 唯一一家获得**B Corp认证**的全球雇佣平台 ~ 自2023年起独立验证
其中两项排名从外部衡量了我们的业务影响，另一项衡量了我们员工在这里工作的感受。它们指向了同一个地方 ~ 因为在Oyster，文化与绩效不是两个话题，而是同一个。
而我们才刚刚开始。如果你希望与同样投入的人一起完成职业生涯中最出色的工作，欢迎你申请。
**职位描述**
虽然此职位发布在一个特定地点，但Oyster的所有职位都是完全远程的，你可以永久在家工作。为了给新员工提供最佳体验，该职位要求你在+3/-7 UTC时区范围内。
作为高级总监，数据平台与AI，你将负责技术基础设施和战略方向，推动Oyster向AI原生的全球平台转型，将扩展成本与平台使用增长解耦。你是高级技术领导团队的一员，这个高度专业化的领导职位将数据平台、产品分析流程、知识管理以及高级自动化框架结合起来。
你将领导将AI项目从孤立实验转向集中系统的工作。这不仅是一个技术角色，更是一个组织变革的角色。你将利用AI优化内部流程，现代化我们的知识架构，并进行……
查看英文原文
### **✨ One platform, a whole world of opportunity**
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked **#10 of 250** on TIME and Statista's 2026 list of [America's Top WorkTech Companies](https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time)
- Named one of [America's Greatest Startup Workplaces 2026](https://www.oysterhr.com/library/oyster-2026-newsweek-award) by Newsweek
- A [G2 Spring 2026 Leader](https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026) across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only **B Corp-certified** global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
**The Role**
While this position is posted in a specific location, all of Oyster’s positions are fully remote and you can work from home. Forever.To create the best experience for our new hire, this role requires you to be based within +3 / -7 UTC.
As the Senior Director, Data Platform and AI, you will own the technical infrastructure and strategic direction that transforms Oyster into an AI-native global platform, decoupling scaling overhead from platform usage growth. Part of our Senior Tech Leadership Team, this highly specialized leadership role unites data platforms, product analytics pipelines, knowledge management, and advanced automation layer frameworks.
You will lead the effort to transition AI initiatives from isolated experimentation into centralized systems. This is an organizational transformation role as much as a technical one. You will leverage AI to optimize our internal workflows, modernize our knowledge architecture, and directly enhance our customer-facing product. By building unified data structures and connectivity pipelines, you will directly lower our cost-to-serve and equip our global teams with the clear data and context they need to operate efficiently. Crucially, you will also educate and empower teams across Oyster to scale their own AI use productively.
### **Key Responsibilities**
- **Drive the company-wide AI agenda:** scaling local AI initiatives into centralized production systems that create measurable business value.
- **Own broad, high-impact AI initiatives that have cross functional impact:** Moving our AI usage from past narrow or siloed automation examples to execute a company operational transformation.
- **Partner with Product, Engineering, and operational leaders** to embed AI capabilities into our customer-facing platform, internal business workflows, and core processes.
- **Serve as the ultimate technical authority for our data and AI infrastructure**, making critical architectural decisions across MLOps pipelines, LLM orchestration frameworks, and distributed data systems.
- **Oversee the development of a scalable corporate data platform** that serves as the foundational bedrock for all AI and machine learning capabilities.
- **Transform our internal knowledge base** by building the systemic data architecture needed to turn unstructured information into intelligent, easily searchable, and actionable assets.
- **Re-build and evolve our company-wide data structures** and connectivity pipelines to be optimized to deploy, run, and maintain AI models efficiently while lowering cost-to-serve.
- **Set the company wide tooling standards, maintain technical quality guardrails**, and establish engineering best practices for embedded AI specialists working within distinct business units.
- **Actively support the implementation of key local solutions** built by decentralized specialists, ensuring they have the tools and centralized platform support required to succeed.
- **Maintain high levels of ethical compliance** by ensuring all global AI initiatives strictly adhere to data privacy, platform security, and ethical compliance standards.
- **Educate and empower teams across the organization to scale their own AI use productively**, providing them with the structural frameworks needed to safely build and innovate within their functions.
- **Partner deeply with the People and Operations functions to champion organizational AI capability**, replacing operational uncertainty with structured technical training loops that convert manual specialists into power-users of automated solutions.
- **Drive the organizational change management and literacy efforts** required to reshape daily workflows, shifting company culture and habits from traditional manual processes to AI-assisted operations.
### **Core Requirements**
- A genuine passion for artificial intelligence that goes far beyond product feature delivery. You possess a demonstrated interest in, and concrete evidence of driving, internal organizational change, specifically regarding how AI reshapes day-to-day employee workflows and habits.
- Proven experience operating within a service-delivery model or a highly complex operational business, where data strategy directly impacts intricate, real-world workflows and diverse stakeholder ecosystems.
- A history weighted heavily toward data engineering, distributed systems development, platform services infrastructure, or system architecture over front-end application product design.
- A proven deep technical track record in distributed data systems, MLOps pipelines, and LLM orchestration. You can easily evaluate complex models and emerging technologies, serving as the ultimate technical authority for our infrastructure.
- Documented success building, testing, and scaling complex asynchronous data structures, machine learning routing layers, or high-volume API integrations within modern software platforms.
- The ability to view the organization holistically. You use your understanding of how interconnected technical platforms, business processes, and human teams interact, designing data and AI solutions that optimize entire workstreams rather than individual silos.
- A proven track record of driving internal adoption for major technology or workflow shifts. You can break down complex AI frameworks for non-technical teams, guide employees through operational transitions, and successfully shift daily habits from manual work to AI-assisted processes.
- Comprehensive familiarity with model validation systems, technical anomaly logging, data pipeline health metrics, and automated governance frameworks (e.g., custom logging models or open-source pipeline validation stacks).
- BONUS : Background architecting semantic search solutions, internal retrieval-augmented generation engine layers, or multi-tenant customer data structures from zero-to-one phases.
**You'll also need**
- A reliable home internet connection and fluency in both written and spoken English.
### **How we work together at Oyster**
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the [Oyster Public HQ](https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d) so other global teams can learn from us.
### **How YOU work**
With diverse locations, cultures, and needs, we created [How YOU Work;](https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395) a program supporting your whole human experience at Oyster:
- **Work from anywhere:** Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- **Paid time off:** Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- **Mental health support:** Access [Plumm](https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7), our mental well-being service.
- **Wellbeing allowance:** Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- **Flexible parental leave:** All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- **WFH stipend:** Receive a stipend for your laptop and home office equipment to get you set up quickly.
### **✨ The best jobs should be available to everyone**
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email [jobs@oysterhr.com](mailto:jobs@oysterhr.com) with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @ _oysterhr.com_ email, and **we will never ask for money as part of an interview process or job offer.** If you receive a suspicious email about Oyster jobs or are directed to a site other than [www.oysterhr.com/careers](http://www.oysterhr.com/careers), please report it via our [Compliance and Ethics Helpline](https://faceup.com/c/8tpzyyye).