Engineering Manager, Data Platform

Cerebras; United States; Remote; USD 180,000 - 250,000; Full time

Job summary

Arize AI seeks an Engineering Manager for its Event Platform team, focusing on building high-performance event processing infrastructure. The role includes leading a team of engineers, making architectural decisions, and mentoring talent, all crucial for enhancing AI observability. Strong candidates will have expertise in performance optimization and distributed systems, supported by a competitive salary and benefits package.

Benefits

Unlimited Paid Time Off

Parental Leave

Wellness Support

401(k)

WFH Stipend

Qualifications

• Strong background in performance optimization and distributed systems.
• Experience mentoring engineering talent.
• Track record of leading teams with technical depth.

Responsibilities

• Lead and scale a team for event processing infrastructure.
• Drive architectural decisions focusing on reliability and performance.
• Design storage and query engines for AI observability workloads.

Skills

Performance Optimization

Low-Latency Systems

Distributed Systems

Tools

Kubernetes

Cloud-Native Architectures

Job description

The Opportunity

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.

Role and Responsibilities

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.

What You’ll Work On

• 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

What Will Set You Apart

• 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

Compensation and Benefits

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 including experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, such as medical, dental, vision, 401(k), unlimited paid time off, parental leave, and wellness support.

While we are a remote-first company, we have offices in New York City and the San Francisco Bay Area for those who prefer in-person work. For others, a WFH monthly stipend is provided for co-working spaces.

More About Arize

Our mission is to make the world’s AI work and work for the people. We aim to address the challenge of understanding model behavior post-deployment, which is crucial as investments in AI grow rapidly across industries.

Learn more in an interview with our founders: Forbes Interview

Diversity & Inclusion

We strive to create a culture that promotes responsible AI and inclusivity. Our initiatives include industry expert talks, culturally conscious events like LGBTQ trivia during Pride Month, and active support groups such as Lady Arizers.