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.
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
We believe in the power of diverse teams of doers and thinkers. We are immigrants who want to accomplish great things; outsiders who want to take big risks to achieve the impossible; taste makers who aren't afraid of having an opinion and doing what it takes to make it happen. All of us wear multiple hats everyday not only because we know that is what it takes to succeed, but also because it is what makes being part of a team so rewarding. We’re striving to both recruit and retain a diverse workforce by investing in the growth of our employees, promoting an inclusive environment, and continuously iterating on ourselves and the way we work so that we can all do the best work of our careers here. Together. At Arize AI, You will be given the agency to make a big impact. You can expect to be given the opportunity to grow the scope of your responsibility limited only by your own ambition. You will be expected to be humble, open, collaborative, and kind. You will be expected to be maniacally empathetic of the end-user and the current problems that our world faces so that we can make AI work for the people.
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