分析工程师，客户体验
Analytics Engineer, Customer Experience
## 关于 Polymarket
Polymarket 是全球最大的预测市场平台。我们让个人通过交易政治、经济、体育、文化及新闻事件的结果来表达对现实事件的看法。作为一个去中心化的点对点市场，Polymarket 没有中央“庄家”，它将多样化的观点聚合为透明的基于市场的概率，反映人们对未来的集体预期。
我们正在快速增长，无论是交易量（2025年达到210亿美元）还是作为替代新闻来源的采用率都在提升。我们的目标是成为全球媒体中无处不在的真相灯塔，我们需要你的帮助为这一目标添柴加火。
## 关于该职位
Polymarket 的 CX 团队规模小、拥有高自主权，并直接负责用户在全球最大预测市场上进行真实资金交易的体验。目前，团队处理大量复杂的跨提款、KYC 和市场结算的问题，而用于大规模理解这些工作的数据基础设施仍在建设中。这就是这个职位的作用所在。
我们正在招聘一位高级分析工程师，负责 CX 的数据基础架构。你将构建模型、管道和语义层，将原始支持数据转化为团队实际可用的内容。这不是一个继承一个干净系统并维护它的职位。你将做出关于 CX 数据结构、来源和信任度的基础性决策，这些决策将影响团队未来数年的运作方式。
这很重要，因为 Polymarket 的 CX 数据确实非常复杂。用户在加密货币通道、预测市场和身份验证流程中进行交互，失败模式多种多样且常常新颖。担任此职位的人需要足够了解这种复杂性，以正确建模，并能与工程师和非技术性的 CX 同事清晰沟通数据所展示和未展示的内容。
## 你将负责
- 设计和维护支持数据的 dbt 数据模型，涵盖工单、KYC、提款和市场结算工作流
- 将来自 Decagon、BPO 合作伙伴、CRM 系统和 WFM 工具的数据整合到云仓库中
- 构建数据质量测试、监控和文档，使团队能够信任他们所看到的内容
- 在语义层中定义共享指标和维度，确保 CX、运营和管理层计算事物的方式一致
- 构建仪表盘和自助数据集，让 CX 同事能够回答运营相关问题
查看英文原文
## About Polymarket
Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized "house," Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future.
We're growing fast, both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire.
## About the Role
The CX team at Polymarket is small, high-ownership, and directly responsible for the experience of users moving real money on the world's largest prediction market. Right now, the team handles a high volume of complex issues across withdrawals, KYC, and market resolution, and the data infrastructure to understand that work at scale is still being built. That's where this role comes in.
We're hiring a senior analytics engineer to own the data foundation for CX. You'll build the models, pipelines, and semantic layer that turn raw support data into something the team can actually use. This isn't a role where you inherit a clean system and maintain it. You'll be making foundational decisions about how CX data is structured, sourced, and trusted, and those decisions will shape how the team operates for years.
This matters because CX data at Polymarket is genuinely complex. Users interact across crypto rails, prediction markets, and identity verification flows, and the failure modes are varied and often novel. The person in this role needs to understand that complexity well enough to model it correctly, and to communicate clearly with both engineers and non-technical CX teammates about what the data does and doesn't show.
## What You'll Do
- Design and maintain dbt data models for support data, covering ticketing, KYC, withdrawals, and market resolution workflows
- Integrate data from sources including Decagon, BPO partners, CRM systems, and WFM tools into the cloud warehouse
- Build data quality tests, monitoring, and documentation so the team can trust what they're looking at
- Define shared metrics and dimensions in the semantic layer so CX, ops, and leadership are all calculating things the same way
- Build dashboards and self-serve datasets that let CX teammates answer operational questions without waiting on a data request
- Identify recurring failure patterns in support data and translate them into documented findings for the CX playbook and internal stakeholders
- Partner with the central data engineering team on shared pipelines, infrastructure decisions, and data governance
## What We're Looking For
- 5+ years in analytics engineering, data engineering, or a closely related data role
- Expert SQL and strong hands-on dbt experience, including modeling, testing, and documentation
- Experience working with a cloud data warehouse such as Snowflake, BigQuery, or Redshift
- Experience with data ingestion tools such as Fivetran or Airbyte, and working knowledge of Python
- Strong data modeling fundamentals and a track record of building systems that non-technical teams actually use
- Experience diagnosing complex, multi-variable issues and communicating findings clearly to non-technical stakeholders
- Track record of building or improving documentation, whether data documentation, support playbooks, or process guides
- (Plus) Prior experience working with customer support, CRM, or trust and safety data
- (Plus) Experience influencing product or policy decisions using data from CX or operations
- (Plus) Familiarity with on-chain data or crypto transaction flows
## Benefits
- Competitive salary & equity
- Unlimited PTO
- Full Health, Vision, & Dental coverage
- 401k match
- Hardware setup: new MacBook Pro, big display, & accessories
### **Pay Transparency**
Base salary range: $200,000 to $250,000, plus equity and benefits.
This is a good-faith range for the level we're hiring at. Experience varies widely within a title here, so if your expectations fall outside it, reach out anyway. We're always happy to talk it through.