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Job · Principal

Sr. Staff Engineer

Other • Principal • Remote • Full-time European Union EU/EMEA

Senior Staff Engineer role on Polymarket's Growth Engineering team, owning the architecture and Go/TypeScript data pipelines behind analytics, experimentation, and full-stack growth features.

Stack

Responsibilities

  • Build and maintain Go-based data pipelines that power growth analytics, from event ingestion to reliable reporting
  • 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 and measure results accurately
  • Ship full-stack growth features in Go and TypeScript, owning the work from backend service to frontend implementation
  • Bring ML where it adds real value, including personalization, predictive modeling, and experiment analysis, and build those systems into production
  • Review experiment designs and code from other growth engineers, raising the quality of what ships
  • Use AI tools daily to accelerate output and set a higher bar for how the team works

Requirements

  • 10+ years of experience spanning full-stack development, data and analytics infrastructure, and martech systems
  • Production-level expertise in Golang and TypeScript
  • 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, having taken models past experimentation and into production

Soft skills

Comfortable making high-stakes architectural calls with the trust and autonomy of a senior IC, without needing sign-off at every step

About the company

Polymarket is the world's largest prediction market platform, a peer-to-peer marketplace with no centralized house, where people trade on the outcomes of real-world events across politics, economics, sports, culture, and current affairs, aggregating opinions into transparent, market-based probabilities.

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