Polymarket

<h2>About Polymarket</h2>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.<h2>About the Role</h2>CX generates some of the richest data at Polymarket: every contact, every resolution, every point of friction. Right now, that data isn't working hard enough. You'll change that.You'll build the CX data and analytics function from the ground up. That means defining the metrics that matter, creating a single source of truth for service levels, CSAT, contact rate, handle time, and first-contact resolution, and delivering the reporting and insight that CX leadership actually uses to make decisions. You'll lead the Analytics Engineers on the CX team and serve as the primary connection point to Polymarket's central data engineering team.This is a builder role. The function doesn't exist yet in any mature form, and you'll be setting the vision, the roadmap, and the standards. You should be as comfortable writing SQL to diagnose a contact spike as you are presenting findings to a VP. If an insight doesn't change a decision, it doesn't count.<h2>What You'll Do</h2><ul><li>Define and own the CX metrics layer: service levels, CSAT, handle time, first-contact resolution, contact rate, and the dbt models that power them.</li><li>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.</li><li>Lead and develop the Analytics Engineering team: set priorities, review work, and make sure output maps directly to CX team needs.</li><li>Partner with Polymarket's central data team to build the pipelines and shared infrastructure CX depends on, and unblock that work when it stalls.</li><li>Deliver weekly metrics summaries and insight packages to CX leadership, with clear recommendations, not just charts.</li><li>Build the measurement framework for AI agents and automation across CX, so the team knows what's working, what isn't, and where to invest next.</li><li>Apply forecasting and modeling to operational problems like staffing, contact driver classification, and AI deflection rates.</li></ul><h2>What We're Looking For</h2><ul><li>6+ years in analytics or data science, with at least 2 years leading an analytics team.</li><li>Expert SQL, hands-on dbt experience, and fluency in at least one modern BI tool (Looker, Tableau, Mode, Hex, or similar).</li><li>A track record of building an analytics function or data model from scratch, not just inheriting one.</li><li>Experience working with customer support data and systems, and an understanding of the metrics that matter in a CX context.</li><li>Strong data storytelling for executive audiences: you can turn a complex analysis into a clear recommendation.</li><li>Comfortable working directly with engineering and data platform teams to get pipeline and infrastructure work done.</li><li>(Plus) Experience with NLP or LLM-based approaches to ticket classification or contact driver analysis.</li><li>(Plus) Background in fintech, crypto, or trading platforms. </li></ul><h2>Benefits </h2><ul><li>Competitive salary &amp; equity</li><li>Unlimited PTO</li><li>Full Health, Vision, &amp; Dental coverage</li><li>401k match</li><li>Hardware setup: new MacBook Pro, big display, &amp; accessories</li></ul><h2>Pay Transparency </h2>Base salary range: $250,000 to $275,000, plus equity and benefits.This is a good-faith range for the level we're hiring at. Experience varies widely within a title here, so if your expectations fall outside it, reach out anyway. We're always happy to talk it through.

Data and Analytics Lead

<h2>About Polymarket</h2>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.<h2>About the Role</h2>The CX team at Polymarket is small, high-ownership, and directly responsible for the experience of users moving real money on the world's largest prediction market. Right now, the team handles a high volume of complex issues across withdrawals, KYC, and market resolution, and the data infrastructure to understand that work at scale is still being built. That's where this role comes in.We're hiring a senior analytics engineer to own the data foundation for CX. You'll build the models, pipelines, and semantic layer that turn raw support data into something the team can actually use. This isn't a role where you inherit a clean system and maintain it. You'll be making foundational decisions about how CX data is structured, sourced, and trusted, and those decisions will shape how the team operates for years.This matters because CX data at Polymarket is genuinely complex. Users interact across crypto rails, prediction markets, and identity verification flows, and the failure modes are varied and often novel. The person in this role needs to understand that complexity well enough to model it correctly, and to communicate clearly with both engineers and non-technical CX teammates about what the data does and doesn't show.<h2>What You'll Do</h2>- Design and maintain dbt data models for support data, covering ticketing, KYC, withdrawals, and market resolution workflows- Integrate data from sources including Decagon, BPO partners, CRM systems, and WFM tools into the cloud warehouse- Build data quality tests, monitoring, and documentation so the team can trust what they're looking at- Define shared metrics and dimensions in the semantic layer so CX, ops, and leadership are all calculating things the same way- Build dashboards and self-serve datasets that let CX teammates answer operational questions without waiting on a data request- Identify recurring failure patterns in support data and translate them into documented findings for the CX playbook and internal stakeholders- Partner with the central data engineering team on shared pipelines, infrastructure decisions, and data governanceWhat We're Looking For- 5+ years in analytics engineering, data engineering, or a closely related data role- Expert SQL and strong hands-on dbt experience, including modeling, testing, and documentation- Experience working with a cloud data warehouse such as Snowflake, BigQuery, or Redshift- Experience with data ingestion tools such as Fivetran or Airbyte, and working knowledge of Python- Strong data modeling fundamentals and a track record of building systems that non-technical teams actually use- Experience diagnosing complex, multi-variable issues and communicating findings clearly to non-technical stakeholders- Track record of building or improving documentation, whether data documentation, support playbooks, or process guides- (Plus) Prior experience working with customer support, CRM, or trust and safety data- (Plus) Experience influencing product or policy decisions using data from CX or operations- (Plus) Familiarity with on-chain data or crypto transaction flows<h2>Benefits</h2>- Competitive salary &amp; equity- Unlimited PTO- Full Health, Vision, &amp; Dental coverage- 401k match- Hardware setup: new MacBook Pro, big display, &amp; accessories<h2>Pay Transparency </h2>Base salary range: $200,000 to $250,000, plus equity and benefits.This is a good-faith range for the level we're hiring at. Experience varies widely within a title here, so if your expectations fall outside it, reach out anyway. We're always happy to talk it through.

Analytics Engineer, Customer Experience

<h2>About Polymarket</h2>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.<h2>About the Role</h2>Polymarket is launching perpetual futures, and this role is the mathematical foundation the exchange runs on. You'll be the first dedicated quant on the perps product, working directly with the engineering team to build the pricing and risk infrastructure from the ground up. Your mandate covers the core mechanics of the exchange: how mark prices are constructed, how funding rates are designed and calibrated, and how margin parameters are set when new assets get listed. The liquidation engine, the funding settlements, the risk limits on every listed asset — all of it depends on the work you do in this role.This is a high-ownership, low-handoff role. You will move from research to specification to production code, and you will monitor what you build in live markets. We are looking for someone who finds that accountability motivating, not exhausting — someone who has been in that seat before and knows what it takes to get it right.<h2>What You'll Do</h2><ul><li>Design and maintain the methodology for aggregating spot prices across multiple external venues, including outlier removal, source weighting, and staleness handling, so the mark price the liquidation engine depends on is always reliable</li><li>Build and calibrate the funding rate formula from first principles: premium calculation, interest rate components, clamping logic, and settlement cadence, tuned to keep perp prices anchored to spot across normal and stressed market conditions</li><li>Run the quantitative analysis for every new asset listing, determining initial margin, maintenance margin, leverage tiers, and max open interest based on historical volatility and liquidity data</li><li>Write formal, rigorous specifications for pricing methodologies and edge case handling that engineers can build directly from, with no ambiguity left to interpretation</li><li>Ship your own research into production, close the loop between modeling and implementation, and take direct ownership of continuously running systems</li><li>Monitor live model performance, investigate mark price anomalies and source divergences as they happen, and iterate on methodology when failure modes surface in real markets</li></ul><h2>What We're Looking For</h2><ul><li>Quant experience at a perpetuals exchange or HFT firm, with direct, hands-on ownership of mark price construction, funding rate design, or margin modeling in production</li><li>Deep understanding of perp exchange mechanics — you can design and defend a complete funding rate formula, index aggregation methodology, and margin tier model from first principles, including how each breaks under adversarial or illiquid conditions</li><li>Strong market microstructure intuition: you understand how prices form across venues, how liquidity and staleness distort aggregated signals, and what happens to a multi-source index when sources disagree or go dark</li><li>The ability to implement your own research — you write rigorous specs and then build them in code; you do not hand off to engineers and walk away</li><li>Strong programming skills in Python; comfortable writing production-quality code, not just research notebooks</li><li>Rigorous thinking about edge cases: your models account for violent market moves, data outages, and source conflicts before they happen, not after</li><li>(Plus) Experience designing or working with multi-source price aggregation or oracle systems</li><li>(Plus) Background in execution or market making at a trading firm</li><li>(Plus) Familiarity with on-chain data sources and decentralized price feeds</li></ul><h2>Benefits</h2><ul><li>Competitive salary &amp; equity</li><li>Unlimited PTO</li><li>Full Health, Vision, &amp; Dental coverage</li><li>401k match</li><li>Hardware setup: new MacBook Pro, big display, &amp; accessories</li></ul><h2>Pay Transparency</h2>Base salary range: $250,000 to $350,000 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.

Quantitative Researcher

<h2>About Polymarket</h2>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.<h2>About the Role</h2>Polymarket's web team ships to production many times a day across our Next.js apps. This role owns the systems that make that velocity safe: the AI tooling, observability, alerting, and performance discipline that tell us — with evidence, automatically — that the site is fast and correct after every ship.This is a hands-on architect role with a clear foundation to build on. The center of gravity is agentic tooling — building the AI-driven review, QA, verification, and release machinery the web team leans on daily. The rest is the observability, alerting, and performance foundation that machinery stands on.<h2>What You'll Do</h2><ul><li>Build and maintain agentic workflows that give every web engineer leverage: PR review agents, automated verification of fixes against production data, perf-regression detection and bisection, release gates</li><li>Define the performance budget for Polymarket web and enforce it automatically — in CI, at the edge, and in RUM</li><li>Instrument what matters: real-user metrics tied to the surfaces where users trade, not vanity lab scores</li><li>Own the alert lifecycle end to end — from detector to dashboard to the engineer who acts on it; kill flaky signals and make green mean shippable</li><li>Set the architecture bar for how the web team measures, ships, and verifies — and automate it so the bar holds at high velocity</li><li>Own Core Web Vitals, real-user monitoring, bundle and rendering budgets, and caching and streaming strategy for Polymarket web</li><li>Maintain one coherent, trustworthy picture of production web health across errors, traces, and RUM</li><li>Own regression detection that fires when something real breaks — performance or correctness — and stays quiet otherwise</li><li>Build and maintain the views the team and leadership actually use: release health, vitals, error budgets, funnel-critical surfaces</li><li>Lead a small team from day one — set the direction, raise the bar, and multiply their output while staying hands-on</li></ul><h2>What We're Looking For</h2><ul><li>Expert in web performance — you can take a slow page and make it fast, and prove the win with real-user data, not lab runs</li><li>Experience shipping for real users at scale — you've owned a production web app with a large, active user base where a regression hit thousands of users within minutes and monitoring was how you knew</li><li>Deep Next.js experience: App Router, React Server Components, streaming/PPR, caching layers, hydration cost</li><li>Experience building AI/agentic developer tooling — or serious automation — that a team relied on daily, with opinions about where agents genuinely help vs. where they add noise</li><li>Experience owning observability and alerting for a high-traffic production product: instrumentation, dashboards, on-call signal quality</li><li>Strong systems thinking across the full path: CDN/edge caching, browser internals, measurement bias, backend latency's effect on the frontend</li><li>Bias for ownership — this domain has no backstop</li><li>Able to lead a small team while staying hands-on</li><li>(Plus) Real-money or trading product experience — where latency and correctness both cost money</li><li>(Plus) Cloudflare at depth: Workers, cache rules, edge telemetry</li><li>(Plus) Experience running LLM-based code review or test generation at scale</li></ul><h2>Benefits</h2><ul><li>Competitive salary &amp; equity</li><li>Unlimited PTO</li><li>Full Health, Vision, &amp; Dental coverage</li><li>401k match</li><li>Hardware setup: new MacBook Pro, big display, &amp; accessories</li></ul><h2>Pay Transparency </h2>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.

Web Platform Lead Engineer

<h2>About Polymarket</h2>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.<h2>About the Role</h2>Polymarket is hiring a Quantitative Risk Analyst to design and implement enterprise-scale risk models at the heart of our clearing operation. You'll own models for market risk, volatility and correlation of derivatives, stress testing, and automated liquidation — the systems that keep the platform solvent and users protected in fast-moving markets.This is a hands-on role: you'll be building models in production code, not just specifying them. We expect you to work fluently with AI tools for development and research — and to be the skeptic in the room, pressure-testing AI-generated models and code against well-established risk frameworks before anything ships.<h2>What You'll Do</h2><ul><li>Design, implement, and maintain enterprise-scale risk models covering market risk, margin, and counterparty exposure for a clearing organization</li><li>Build volatility and correlation models for derivatives, including calibration, backtesting, and ongoing model validation</li><li>Develop and run stress-testing frameworks: historical scenarios, hypothetical shocks, and reverse stress tests</li><li>Design and tune auto-liquidation logic — trigger thresholds, liquidation waterfalls, and safeguards against cascading liquidations</li><li>Use AI tools extensively to accelerate model development, coding, and research — and rigorously validate AI outputs against established risk models before deployment</li><li>Monitor model performance in production, investigate breaks, and iterate quickly</li><li>Partner with engineering, trading, and product teams to embed risk controls into platform architecture</li><li>Document model assumptions, limitations, and validation results to an audit-ready standard</li></ul><h2>What We're Looking For</h2><ul><li>5–7 years of quantitative risk experience at a clearinghouse, exchange, prime broker, trading firm, or similar</li><li>Proven expertise designing and implementing risk models at enterprise scale — production systems, not just research prototypes</li><li>Deep experience modeling volatility, correlation, option skews, and option pricing at scale for trad-fi derivatives, perpetuals, and fully collateralized event contracts</li><li>Hands-on experience with market risk modeling, stress testing, and auto-liquidation mechanics in a clearing context</li><li>Strong fluency with AI-assisted development and coding, paired with the judgment to pressure-test AI outputs against well-established risk models and catch what looks plausible but is wrong</li><li>Expert-level Python (NumPy, pandas, SciPy; solid software engineering practices)</li><li>Advanced degree in a quantitative field (math, statistics, physics, financial engineering, CS) or equivalent experience</li><li>Strong mathematical foundation in stochastic calculus and linear algebra</li><li>(Plus) C# and/or C++ for performance-critical or production systems</li><li>(Plus) Familiarity with crypto market structure, perpetuals, or prediction markets</li><li>(Plus) Experience with CCP risk frameworks (CPMI-IOSCO PFMI, default management, margin methodology)</li><li>(Plus) Experience building real-time risk systems</li></ul><h2>Benefits</h2><ul><li>Competitive salary &amp; equity</li><li>Unlimited PTO</li><li>Full Health, Vision, &amp; Dental coverage</li><li>401k match</li><li>Hardware setup: new MacBook Pro, big display, &amp; accessories</li></ul><h2>Pay Transparency </h2>Base salary range: $210,000 to $24,000, plus equity and benefits.This is a good-faith range for the level we're hiring at. Experience varies widely within a title here, so if your expectations fall outside it, reach out anyway. We're always happy to talk it through.

Polymarket

Open jobs at Polymarket

Data and Analytics Lead

Analytics Engineer, Customer Experience

Quantitative Researcher

Web Platform Lead Engineer

Quantitative Risk Analyst — Derivatives & Clearing

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