Engineering Manager - AI-Powered Data Platform

Kraken; United States; Remote; USD 195,000 - 237,000; Full time

Job summary

Circle's Data Platform team builds and operates the foundation that analytics, monitoring, compliance and data-focused AI workloads rely on, spanning ingestion, orchestration, warehouse, and BI across networks.

As DP Engineering Manager, you will lead a senior team through the next chapter of this platform: correct by construction, self-service by default, and accessible to AI agents with proper access controls and audit trails.

Qualifications

• 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 blockchain data at scale is a plus
• Experience with Python, Go or Java services; familiarity with agent frameworks and protocols such as LangGraph or MCP

Responsibilities

• Lead a team of senior data platform engineers to build scalable ingestion and orchestration systems
• Own the roadmap and architecture for Circle's data platform including ingestion, warehouse, BI, and real-time services
• Mentor senior engineers and grow ICs into technical leaders
• Collaborate with Data Engineering, Data Science, Analytics, Product Engineering, Security, TechOps, and Finance
• Drive platform features for AI/agentic workloads with governance and auditability

Skills

Management experience

Data platform engineering

AI/agentic fluency

Software engineering

Cross-functional collaboration

Technical leadership

Communication

Python/Go/Java

Tools

BigQuery

Airflow

Kafka

Iceberg

LangGraph

MCP

Python

Go

Java

Job description

Circle's Data Platform team builds and operates the foundation that analytics, monitoring, compliance and data-focused AI workloads rely on, spanning ingestion, orchestration, warehouse, and BI across networks.

As DP Engineering Manager, you will lead a senior team through the next chapter of this platform: correct by construction, self-service by default, and accessible to AI agents with proper access controls and audit trails.