Binance.US

HQ
Miami
444 Total Employees
Year Founded: 2019

Jobs at Binance.US

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Recently posted jobs

23 Hours AgoSaved
Remote
United States
Software • Cryptocurrency • Web3
Provides operational and administrative support to the Legal team by reviewing subpoenas, court orders, warrants, and other legal requests; drafting communications; coordinating with law enforcement and government agencies; tracking records and deadlines; analyzing data; and supporting blockchain transaction tracing. Maintains confidentiality, accuracy, and quality while collaborating with Legal, Compliance, Risk, and Customer Support teams in a fast-paced remote environment.
YesterdaySaved
Remote
United States
Software • Cryptocurrency • Web3
Supports system reliability, scalability, and observability through monitoring, logging, metrics, tracing, alerting, infrastructure as code, automation, production support, incident response, and post-incident improvements. The role collaborates with development and operations teams and uses tools including Prometheus, Grafana, ELK, Terraform, AWS, Docker, and Kubernetes.
One Month AgoSaved
Remote
United States
Software • Cryptocurrency • Web3
Lead product analytics to improve user growth, engagement, retention, and revenue. Design and analyze A/B and multivariate experiments, perform funnel/cohort analyses, maintain KPIs and dashboards, ensure event tracking, leverage ML and AI tools for advanced analyses, and translate insights into product recommendations across cross-functional teams.
2 Months AgoSaved
In-Office or Remote
4 Locations
Software • Cryptocurrency • Web3
Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.
2 Months AgoSaved
Remote
2 Locations
Software • Cryptocurrency • Web3
Partner with Marketing as the embedded data science lead to build marketing measurement, attribution, LTV/ROAS/CAC models, run experiments, analyze the full funnel, create forecasts and dashboards, and influence channel strategy and budget allocation.