资深工程师
Sr. Staff Engineer
### **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、文化及时事等领域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，反映集体对未来预期。
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。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**
增长工程团队负责决定人们如何找到 Polymarket、他们来到这里后做什么以及是否再次回来的系统。这意味着分析基础设施、营销技术集成、实验框架以及推动转化和激活数的全栈功能。这是一个小而高产出的团队，工作具有技术性，且影响真实。
我们正在招聘一位高级工程师，作为该团队的技术基础。你将负责影响整个团队衡量和交付工作的架构决策。你将构建和维护增长所依赖的数据管道，设定实验设计和评估的标准，并独立地从头到尾交付全栈功能。这不是一个协调角色。你每天都会编写代码。
这次招聘至关重要，因为 Polymarket 的增长正在加速，其下的基础设施也需要随之扩展。该职位的人将直接影响哪些功能被开发、如何开发以及哪些功能被弃用。你将以资深技术人员的身份，拥有信任和自主权做出高风险决策，而不是需要每一步都获得批准的人。
### **你将负责**
- 构建和维护基于 Go 的数据管道，为增长分析提供支持，从事件采集到团队真正信任的可靠报告。
- 审计现有的营销技术集成，识别表现不佳或冗余的部分，并以清晰的判断替换或淘汰相关工具。
- 设计并交付实验基础设施，使团队能够运行干净的 A/B 测试，准确测量结果，并在不破坏测量的情况下快速推进。
- 使用 Go 和 TypeScript 交付全栈增长功能，从后端服务到前端实现全程负责。
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 Growth Engineering team owns the systems that determine how people find Polymarket, what they do when they get here, and whether they come back. That means analytics infrastructure, martech integrations, experimentation frameworks, and the full-stack features that move conversion and activation numbers. It's a small, high-output team where the work is technical and the stakes are real.
We're hiring a Sr. Staff Engineer to be the technical foundation of that team. You'll own architecture decisions that affect how the entire team measures and ships work. You'll build and maintain the data pipelines that growth depends on, set the standard for how experiments are designed and evaluated, and ship full-stack features end-to-end without waiting on anyone else. This is not a coordination role. You will be writing code daily.
This hire matters because growth at Polymarket is accelerating and the infrastructure underneath it needs to scale with it. The person in this role will have direct influence on what gets built, how it gets built, and what gets retired. You'll do that as a senior IC with the trust and autonomy to make high-stakes calls, not someone who needs sign-off at every step.
### **What You'll Do**
- Build and maintain Go-based data pipelines that power growth analytics, from event ingestion to reliable reporting that the team actually trusts.
- Audit existing martech integrations, identify what's underperforming or redundant, and replace or retire tooling with clear-eyed judgment.
- Architect and ship experimentation infrastructure that lets the team run clean A/B tests, measure results accurately, and move fast without breaking measurement.
- Ship full-stack growth features in Go and TypeScript, owning the work from backend service to frontend implementation without handing off.
- Bring ML where it adds real value, including personalization, predictive modeling, and experiment analysis, and build those systems into production, not just prototypes.
- Review experiment designs and code from other growth engineers, raising the quality of what ships and how the team thinks about building.
- Use AI tools daily and seriously, applying them to accelerate your own output and set a higher bar for how the team works.
### **What We're Looking For**
- 10+ years of experience spanning full-stack development, data and analytics infrastructure, and martech systems.
- Production-level expertise in Golang and TypeScript. You write both regularly and know where each one has edges.
- A track record of designing analytics and data pipelines that teams rely on in production, not side projects or internal dashboards nobody checks.
- Hands-on experience building and shipping ML systems. You've taken models past experimentation and into production.
- Strong systems thinking and the judgment to make architectural calls between refactor and rewrite, talking through real trade-offs rather than defaulting to a preference.
- Fluency with AI-assisted development. You use these tools every day and you're faster and more accurate because of it.
- Experience setting technical direction for a growth or data team, with high-stakes calls made under ambiguity and limited oversight.
- (Plus) Prior experience on a marketplace, fintech, or consumer product with meaningful user scale.
- (Plus) Familiarity with prediction markets, financial products, or real-time data systems.
- (Plus) People management experience. You don't need it for this role, but it's useful context.
### **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: $250,000 to $500,000 annually, plus equity and benefits.
This range reflects a good-faith estimate for this position. Experience levels vary widely within a title here, so please reach out even if your expectations fall outside it. We're always happy to chat.