Lead, Social and Content

About Polymarket

Polymarket is the worlds 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.
Were 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.

CX generates some of the richest data at Polymarket: every contact, every resolution, every point of friction. Right now, that data isnt working hard enough. Youll build the CX data and analytics function from the ground up. Youll lead the Analytics Engineers on the CX team and serve as the primary connection point to Polymarkets central data engineering team.

You should be as comfortable writing SQL to diagnose a contact spike as you are presenting findings to a VP. Write SQL and build data models to diagnose contact rate spikes, identify friction points, and surface root causes to the teams who can fix them.
- Partner with Polymarkets central data team to build the pipelines and shared infrastructure CX depends on, and unblock that work when it stalls.
- Build the measurement framework for AI agents and automation across CX, so the team knows whats working, what isnt, and where to invest next.
- Apply forecasting and modeling to operational problems like staffing, contact driver classification, and AI deflection rates.

6+ years in analytics or data science, with at least 2 years leading an analytics team.

• Expert SQL, hands-on dbt experience, and fluency in at least one modern BI tool (Looker, Tableau, Mode, Hex, or similar).
• A track record of building an analytics function or data model from scratch, not just inheriting one.
• Experience working with customer support data and systems, and an understanding of the metrics that matter in a CX context.
• Strong data storytelling for executive audiences: you can turn a complex analysis into a clear recommendation.
• Comfortable working directly with engineering and data platform teams to get pipeline and infrastructure work done.
• (Plus) Experience with NLP or LLM-based approaches to ticket classification or contact driver analysis.
• (Plus) Background in fintech, crypto, or trading platforms. ## Competitive salary & equity
• Full Health, Vision, & Dental coverage
• 250,000 to $275,000, plus equity and benefits.