Sr. Staff Engineer

Polymarket

About The Position

Polymarket is the world's largest prediction market platform, enabling individuals to trade on outcomes across various real-world events. As a peer-to-peer marketplace, it aggregates diverse opinions into transparent, market-based probabilities. The company is experiencing rapid growth in both volume and adoption, aiming to become a ubiquitous source of truth in global media. The Growth Engineering team at Polymarket is responsible for how users discover the platform, engage with it, and return. This includes managing analytics infrastructure, martech integrations, experimentation frameworks, and full-stack features that drive conversion and activation. The team operates as a small, high-output unit focused on technical challenges with significant impact. This role is for a Sr. Staff Engineer who will serve as the technical cornerstone of the Growth Engineering team. The individual will be responsible for architectural decisions impacting team measurement and delivery, building and maintaining essential data pipelines, establishing standards for experiment design and evaluation, and independently shipping end-to-end full-stack features. This is a hands-on coding role, not a management position, requiring daily code contributions. The need for this role stems from Polymarket's accelerating growth, necessitating scalable infrastructure. The successful candidate will have significant influence over technical direction, implementation, and the retirement of existing systems, operating with trust and autonomy.

Requirements

10+ years of experience in full-stack development, data and analytics infrastructure, and martech systems.
Production-level expertise in Golang and TypeScript, with a clear understanding of their respective strengths.
Proven track record of designing and implementing production-ready analytics and data pipelines.
Hands-on experience building and shipping ML systems into production.
Strong systems thinking and the ability to make architectural decisions based on trade-offs.
Fluency with AI-assisted development tools and their application in daily work.
Experience setting technical direction for a growth or data team, making high-stakes decisions with limited oversight.

Nice To Haves

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

Responsibilities

Build and maintain Go-based data pipelines for growth analytics, covering event ingestion to reliable reporting.
Audit existing martech integrations, identify underperforming or redundant tools, and replace or retire them.
Architect and ship experimentation infrastructure for clean A/B tests, accurate measurement, and rapid iteration.
Ship full-stack growth features in Go and TypeScript, managing the entire development lifecycle from backend to frontend.
Integrate ML for personalization, predictive modeling, and experiment analysis, moving systems from prototype to production.
Review experiment designs and code from other growth engineers to enhance quality and team thinking.
Utilize AI tools daily to accelerate personal output and set higher standards for team workflows.