
501 - 1000 employees
💳 Fintech
₿ Crypto
🌐 Web 3
Fintech • Crypto • Web 3
Circle is a financial technology company that focuses on utilizing blockchain technology to enable seamless, faster and secure transactions. Their main product, USDC, is a stablecoin designed to provide stability by being fully reserved and redeemable 1:1 for US dollars, and is widely used in global transactions to facilitate cross-border payments, crypto capital markets, and global dollar access. Circle offers an open developer platform that allows businesses to integrate blockchain functionalities such as programmable wallets and smart contracts into their applications. The company is committed to transparency and publishes regular reports on their reserve holdings.
🔥 14 hours ago
🏈 Alabama, Alaska, +45 more states – Remote
💵 $195k - $236.7k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on Circle's careers page, not through a job board
First seen by Remote Rocketship 14 hours ago
Still open on Circle's site. Checked 44 minutes ago.

501 - 1000 employees
💳 Fintech
₿ Crypto
🌐 Web 3
Fintech • Crypto • Web 3
Circle is a financial technology company that focuses on utilizing blockchain technology to enable seamless, faster and secure transactions. Their main product, USDC, is a stablecoin designed to provide stability by being fully reserved and redeemable 1:1 for US dollars, and is widely used in global transactions to facilitate cross-border payments, crypto capital markets, and global dollar access. Circle offers an open developer platform that allows businesses to integrate blockchain functionalities such as programmable wallets and smart contracts into their applications. The company is committed to transparency and publishes regular reports on their reserve holdings.
• Lead a team of senior data platform engineers • Own the vision, architecture, and roadmap for ingestion, orchestration, warehouse, BI, and real-time data services • Prioritize platform trade-offs • Manage, coach, and grow senior engineers • Develop senior individual contributors into technical leaders and hire effectively • Lead AI-agent management, guardrails, and review standards • Curate, version, and govern training, fine-tuning, and evaluation datasets • Equip engineers with agentic tools for design, coding, testing, on-call, and documentation • Establish data SLOs, data contracts, lineage, automated checks, and dataset ownership • Build the platform’s AI and agentic layer, including metadata, semantic context, natural-language data access, pipeline agents, and auditable evaluations • Enable self-service onboarding of sources, pipelines, dashboards, and monitoring rules • Operate a reliable production platform with SLAs, cost attribution, budget planning, vendor upgrades, and rollback plans • Partner with Data Engineering, Data Science, Analytics, Product Engineering, Security, TechOps, Finance, Compliance, and Risk • Lead designs, review critical paths, debug production issues, and prototype solutions • Participate in design reviews, code reviews, incident response, and occasional prototyping
• 4+ years managing software engineers, including hiring, performance management, coaching, and senior IC development • 6+ years in data, ML, and/or platform engineering • Hands-on experience building and operating warehouse, orchestration, streaming, or ingestion platforms at scale • Experience with platforms such as BigQuery, Airflow, Pub/Sub, Kafka, and Iceberg, or equivalents • Experience defining and meeting data SLOs and building validation systems • Experience building or leading LLM-based or agentic data systems • Experience designing self-service platforms adopted by other teams • Track record of owning high-impact platform projects end to end and delivering successful releases • Recent experience designing, prototyping, reviewing, or shipping production code • Ability to write design documents and explain complex systems to analysts, scientists, engineers, and finance partners • Understanding of model training and evaluation • Experience cleaning training and fine-tuning corpora, creating labeled evaluation sets, versioning data, and measuring impact on model quality • Knowledge of preventing label noise, leakage, and distribution drift • Preferred: experience with blockchain data at scale • Preferred: experience in fintech, crypto, payments, or regulated environments • Preferred: experience with streaming and stateful processing for transaction-centric, low-latency monitoring • Preferred: familiarity with data catalog and lineage tooling, cloud warehouse access governance, and cost attribution • Preferred: experience with Python, Go, or Java services and agent frameworks/protocols such as LangGraph or MCP • Preferred: experience leading a geographically distributed team
• Flexible work environment • Inclusive workplace • Interview accommodations and assistance for candidates with disabilities
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