Jobs at Crypto.com

Owns end-to-end email operations and lifecycle campaigns while leading MarTech strategy, CDP configuration, data integrations, audience segmentation, reporting, deliverability, and AI productivity initiatives. The role develops scalable templates, tracking frameworks, operational standards, and technical specifications while partnering with CRM, Product, Marketing, Strategy, and Research stakeholders. It requires strong coding, SQL, experimentation, compliance, documentation, and cross-functional project management skills.

Owns web and mobile marketing tracking architecture, ad-platform signal routing, attribution, incrementality testing, LTV and cohort analysis. Partners with Engineering, Data, Product, and Growth teams on data pipelines, advanced SQL, dashboards, documentation, and technical requirements. Uses GA4, GTM, AppsFlyer, Firebase, Databricks, and Tableau to improve user acquisition measurement, data quality, privacy compliance, and campaign performance.

Lead the evolution of trading infrastructure by managing trade operations, P&L attribution, risk monitoring, data integrity, and performance reporting. Develop Python- and machine-learning-based AI agents, MLOps workflows, anomaly detection, predictive risk models, automated reconciliations, and real-time dashboards to transform manual trading operations and improve risk analysis.

Support live systematic trading by monitoring systems, orders, positions, P&L, risk, and exchange connectivity. Investigate trading exceptions, coordinate with traders and counterparties, support deployments and production changes, analyze operational metrics, and develop Python-based automation for monitoring, reconciliation, reporting, and process improvement. The role includes local trading coverage and rotating weekend support.

Build data foundations and end-to-end pipelines, research and implement quantitative pricing, market-making, and risk models for prediction markets, model cross-market dependencies and parlays, develop backtesting/simulation frameworks, monitor model performance and collaborate closely with traders to improve pricing and trading outcomes.

Design, build, and optimize high-throughput, highly available backend services in Golang for 24/7 sports and prediction-market applications. Lead architecture decisions, implement features, diagnose and resolve high-concurrency bottlenecks, and provide high-tier operational support for real-time transactional systems.