The Product Manager will drive the development of platform capabilities to enhance customer trust, manage risk, and improve operational efficiency. They will collaborate with cross-functional teams to translate regulatory and business requirements into scalable product solutions.
The Clearing Operations Analyst supports daily clearing, custody, and digital asset transaction processing while maintaining operational controls. They collaborate with cross-functional teams to perform reconciliations, monitor operations, and contribute to process improvements.
The Associate Site Reliability Engineer will support system reliability, scalability, and observability by developing monitoring strategies and implementing infrastructure as code. They will collaborate with cross-functional teams to diagnose performance bottlenecks and participate in incident response and on-call rotations.
The Associate General Counsel will lead and manage the company's litigation and disputes portfolio, including regulatory and commercial matters. They will develop litigation strategy, coordinate with external counsel, and partner with internal business teams to mitigate legal risks.
Design, develop, and maintain high-quality backend services and APIs using Java while ensuring scalability and reliability. Collaborate with cross-functional teams to translate business requirements into secure, performant, and maintainable technical solutions.
Design and implement scalable, high-performance web applications using Next.js and modern front-end technologies. Collaborate with cross-functional teams to deliver secure user experiences while contributing to front-end architecture and engineering best practices.
Develop advanced ML-based fraud and risk models to reduce financial loss and safeguard user funds. Collaborate across Risk, Compliance, and Product teams to create risk signals and automate decision-making tools.
Own the end-to-end analysis of payment and chargeback data to identify drivers of financial loss and fraud. Design experiments and build monitoring dashboards to mitigate risk and implement actionable fixes in collaboration with Product and Payments teams.
Serve as the primary data science partner to the Marketing team to build a measurement foundation and KPI frameworks. Develop core models for LTV, ROAS, and CAC to influence budget allocation and growth strategies.
Drive user growth, engagement, and revenue by owning end-to-end product analytics and designing rigorous A/B experiments. Partner with cross-functional leaders to translate complex data insights into actionable product strategy and roadmap prioritization.
