Engineering Manager (AI)

TL;DR

Engineering Manager (AI): Leading the Event Platform team responsible for high-throughput event processing infrastructure, powering the company’s LLM evaluation and observability platform with an accent on optimizing distributed systems for durability, high availability, and low latency. Focus on shaping mission-critical infrastructure and driving architectural decisions for distributed systems.

Location: United States of America

Company

The company is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models.

What you will do

• Lead and scale a team of engineers building next-generation event processing and storage infrastructure that handles millions of events per second.
• Drive architectural decisions for mission-critical distributed systems, focusing on reliability, performance, and scalability.
• Design and implement sophisticated storage and query engines optimized for AI observability workloads.
• Partner with product teams to evolve platform capabilities while maintaining strict performance and reliability SLAs.
• Mentor and grow engineering talent while fostering a culture of distributed systems excellence.

Requirements

• Strong background in performance optimization, particularly around low-latency storage and retrieval systems.
• Track record of leading engineering teams working on distributed infrastructure while maintaining technical depth.
• Experience with modern infrastructure (Kubernetes, cloud-native architectures) and distributed systems patterns.
• Focus on pragmatic solutions while meeting strict performance and reliability requirements.

Culture & Benefits

• We encourage underrepresented talent to apply to all our roles & support accessibility needs