Sr. Staff Engineer

Polymarket

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

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.

Responsibilities

  • Build and maintain Go-based data pipelines that power growth analytics
  • Audit existing martech integrations and replace or retire tooling
  • Architect and ship experimentation infrastructure for A/B testing
  • Ship full-stack growth features in Go and TypeScript
  • Integrate ML for personalization, predictive modeling, and experiment analysis
  • Review experiment designs and code from other growth engineers
  • Utilize AI tools daily to accelerate development output

Requirements

  • 10+ years of experience in full-stack development, data/analytics infrastructure, and martech systems
  • Production-level expertise in Golang and TypeScript
  • Proven track record designing production-grade analytics and data pipelines
  • Hands-on experience building and shipping ML systems into production
  • Strong systems thinking and architectural decision-making skills
  • Fluency with AI-assisted development tools
  • Experience setting technical direction for growth or data teams

Preferred Qualifications

  • Prior experience on a marketplace, fintech, or consumer product with high user scale
  • Familiarity with prediction markets, financial products, or real-time data systems
  • People management experience

Benefits

  • Competitive salary & equity
  • Unlimited PTO
  • Full Health, Vision, & Dental coverage
  • 401k match
  • Hardware setup: new MacBook Pro, big display, & accessories

Skills & tools

GoTypeScriptMachine Learning

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 0110+ years full-stack and data infrastructure experience
  2. 02Expertise in Golang and TypeScript
  3. 03Experience building production ML systems
  4. 04Experience with analytics and data pipelines
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