The Legal Operations Specialist provides operational and administrative support to the Legal team by processing legal requests, subpoenas, and warrants. They also assist with law enforcement inquiries, conduct blockchain transaction tracing, and maintain accurate records for legal and compliance purposes.
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.
The Marketing Manager will source, negotiate, and scale direct partnerships and affiliate programs to drive customer acquisition. They will also monitor performance metrics and collaborate with cross-functional teams to optimize campaign ROI and traffic quality.
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.
