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Lead detection and response efforts: build detections, manage SIEM and orchestration tooling, deploy AI in SOC workflows, investigate incidents across AWS/EKS environments, support threat modeling and vulnerability scanning, and take on-call shifts.

Design, implement, test, and maintain production-grade smart contracts (primarily Solidity and Rust/Anchor) and supporting backend services. Build transaction orchestration, indexing, monitoring, and integrations; optimize gas/performance; collaborate with security and infrastructure teams on audits, upgrades, and production reliability.

The role involves overseeing market intelligence, brand presence, and stakeholder engagement in Indonesia, focusing on compliant growth in digital assets and fintech markets.

The Lead KYC Analyst will oversee complex customer onboarding, conduct enhanced due diligence, assess financial crime risk, and ensure compliance with regulatory standards.

The Senior Solutions Engineer II will lead technical solutions for Capital Markets, working with Business Development and clients to design and implement scalable solutions, provide market feedback, and support integrations.

The Principal Product Manager will drive the product strategy for Circle's Payments Engine, ensuring system reliability, performance, and scalability while collaborating across teams and leading initiatives in payment execution and infrastructure.

Lead corporate communications for earnings, M&A, and major corporate news. Set strategy, manage NY media relationships, coordinate earnings operations with IR and legal, drive M&A messaging, mentor team members, architect AI-enabled comms workflows, and support crisis management to protect company reputation.

As a Senior AML Analyst, you will investigate suspicious activities, conduct AML compliance, and collaborate with various teams to enhance detection workflows.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Lead payments-focused data science work: build foundational datasets, metrics, and scalable analytics; analyze customer and transaction behavior (including onchain data); conduct strategic analyses to identify product and revenue opportunities; build reporting, dashboards, and automation; and influence product and business strategy through data storytelling to senior stakeholders.