Arize AI

Engineering Manager, Data Platform

Remote
USD 180k - 250k
Machine Learning Streaming Kubernetes Terraform Kafka
Description

The Opportunity

AI is transforming the world at an unprecedented pace, and with this transformation comes the need for robust, scalable infrastructure that can support the next generation of AI applications. At Arize, we're building the leading AI observability and evaluation platform that enables companies to deploy AI with confidence.

As the Engineering Manager for the Data Platform team you will report directly to the Head of Engineering and lead the team responsible for our next-generation database and infrastructure that powers Arize's LLM evaluation and observability platform. This is a unique opportunity to shape critical systems including our custom OLAP database, real-time streaming infrastructure, and core integrations that are becoming essential for AI teams across the world.

The Role

We're seeking an exceptional Engineering Manager who combines deep technical expertise with strong leadership abilities. 

You'll lead a team of high-performing engineers while remaining hands-on with complex technical challenges across the entire stack. The ideal candidate is as comfortable designing low-latency vector retrieval 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 data platform infrastructure
  • Collaborate with your Tech Lead and CTO to drive architectural decisions for mission-critical systems
  • Mentor and grow engineering talent while fostering a culture of technical excellence
  • Partner with engineering teams to understand requirements and deliver robust platform capabilities that accelerate their velocity
  • Maintain high technical standards while meeting aggressive business objectives

What Will Set You Apart

  • Strong hands-on technical abilities across infrastructure (Kubernetes, Terraform) and data systems (OLAP databases, Kafka, distributed KV stores)
  • Experience leading engineering teams while maintaining technical depth
  • Experience debugging complex distributed systems and optimizing for performance at scale
  • Focus on pragmatic solutions that deliver business value over chasing trending technologies
  •  

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
Arize AI
Arize AI
Artificial Intelligence (AI) Information Technology Machine Learning Software

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