Engineering Manager, Data Platform

AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives.

Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production.

As Engineering Manager for the Event Platform team, you'll report directly to the Head of Engineering, leading the team responsible for our high-throughput event processing infrastructure. This critical system powers Arize's LLM evaluation and observability platform through a custom storage engine, real-time event processing infrastructure, and scalable query systems. This role is ideal for engineers passionate about optimizing distributed systems for durability, high availability, low latency, and scalability at massive scale. You'll have the opportunity to shape mission-critical infrastructure that's fundamental to our platform's success.

We're seeking an exceptional Engineering Manager who combines deep technical expertise in distributed systems with strong leadership abilities. You'll lead a team of high-performing engineers while remaining hands-on with complex technical challenges across our event processing stack. The ideal candidate is as comfortable designing high-throughput distributed storage systems as they are mentoring engineers and driving technical strategy.

• Lead and scale a team of engineers building our 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 our platform capabilities while maintaining strict performance and reliability SLAs
• Mentor and grow engineering talent while fostering a culture of distributed systems excellence

• 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

The estimated annual salary and variable compensation for this role is between $180,000 - $250,000 USD, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.