Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com .
What you’ll be part of:
Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values : High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.
What You’ll Be Responsible For
Circle’s Data Platform team builds and operates the foundation that every analytics, monitoring, compliance and data-focused AI workload at Circle runs on: ingestion of production databases, product events, third-party sources and blockchain data across dozens of networks into a company-wide warehouse. We own the orchestration platform that runs thousands of pipelines, the BI layer, real-time event and transaction monitoring services, and the data assets and agent interfaces that let people and AI agents ask questions of Circle’s data and trust the answers.
As the DP Engineering Manager, you will lead a team of senior data platform engineers through the next chapter of this platform: ensuring it is correct by construction, self-service by default, and usable by AI agents with the proper access controls and audit trails. This is a hands-on technical leadership role. You will own the roadmap, partner with our Staff Engineer to own the architecture, manage and grow the team, partner with Data Engineering, Data Science, Analytics, Product Engineering, Finance, Compliance and Risk, and stay close to the systems through design reviews, code reviews, incident response and the occasional prototype.
What You’ll Work On
Own the vision, architecture, and roadmap for Circle’s ingestion, orchestration, warehouse, BI, and real-time data services. Prioritize trade-offs clearly.
Manage, coach, and grow senior engineers. Develop senior ICs into technical leaders and hire well.
Lead AI-agent management, guardrails, and review standards. Hold agent output to a human engineer’s quality bar.
Treat datasets as AI infrastructure. Curate, version, and govern training, fine-tuning, and evaluation sets with provenance, labeling workflows, access controls, and deterministic reproducibility.
Use AI to multiply team output. Equip engineers with agentic tools for design, coding, testing, on-call, and documentation; measure the gains.
Make correctness and data quality platform features through SLOs, data contracts, lineage, automated checks, and clear dataset ownership.
Build the platform’s AI and agentic layer: metadata, semantic context, natural-language access to canonical data, pipeline and on-call agents, and deterministic, auditable evaluations within existing access controls.
Make the platform self-service. Let Data Engineering and product teams onboard sources, pipelines, dashboards, and monitoring rules without filing tickets.
Operate a reliable production platform with clear SLAs, cost attribution, budget planning, vendor upgrades with rollback plans, and honest status reporting.
Partner with Data Engineering, Data Science, Analytics, Product Engineering, Security, TechOps, and Finance to build reusable platform capabilities—not one-off pipelines.
Stay close to the code: lead designs, review critical paths, debug production issues, and…