Jobs at Crypto.com

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.

Own the Crypto.com App Trading roadmap and deliver retail crypto trading products from discovery through launch and iteration. Define product strategy, specifications, milestones, and prioritization; conduct user research; analyze trading behavior and funnels; coordinate Engineering, Design, QA, Analytics, Marketing, Compliance, and Growth; and make tradeoff decisions. The role requires end-to-end ownership of scaled crypto or perpetuals products, data-informed prioritization, cross-functional leadership, and effective use of AI development tools.

Own the end-to-end customer onboarding and growth roadmap for Crypto.com’s regulated app, including account opening, KYC, activation, referrals, incentives, and time-to-value. Extend onboarding capabilities across products and markets, improve funnel conversion through experimentation and analytics, and take ownership of trading-product initiatives connecting onboarding to first trade. Lead Engineering, Design, Compliance, Marketing, and Trading stakeholders while independently prioritizing and delivering through regulatory and operational ambiguity.

Designs, develops, and maintains cloud infrastructure, monitoring tools, CI/CD pipelines, Terraform, Kubernetes, and disaster recovery solutions. The role automates operations, contributes to architecture, supports high availability and low latency, and collaborates with cross-functional teams across global time zones.

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.

The Social Media Manager will develop and execute social strategies, manage content across platforms, and collaborate with teams to enhance engagement and brand voice.

Lead end-to-end advanced trading UX for web and mobile, owning roadmap, shipping sophisticated tools for professional traders, driving design excellence, running trader research, instrumenting outcomes, and aligning cross-functional teams to improve speed, precision, and usability.