The Opportunity
AI is transforming the world at an unprecedented pace, requiring robust, scalable infrastructure to support the next generation of AI applications. At Arize, we're building the leading AI observability and evaluation platform that enables companies to build and deploy AI with confidence.
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.
The Role
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.
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
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.
More About Arize
Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world.
Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c
Diversity & Inclusion @ Arize
Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture
- Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI
- Culturally conscious events such as LGBTQ trivia during pride month
- We have an active Lady Arizers subgroup
Top Skills
What We Do
The leading machine learning observability platform for ML practitioners to detect and troubleshoot AI/ML model issues
_0.png)
.png)
_1.png)
