<div class="content-intro"><h3>About Arize</h3><p>AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. <strong data-stringify-type="bold">Arize AI is the leading AI & Agent Engineering observability and evaluation platform</strong>, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence.</p><p>We’re a <strong data-stringify-type="bold">Series C</strong> company backed by top-tier investors,<strong data-stringify-type="bold"> </strong>with<strong data-stringify-type="bold"> over $135M in funding</strong> and a rapidly growing customer base of <strong data-stringify-type="bold">150+ leading enterprises and Fortune 500 companies. </strong>Customers like <a class="c-link" href="http://booking.com/" target="_blank" data-stringify-link="http://Booking.com" data-sk="tooltip_parent">Booking.com</a>, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.</p></div><h3><strong>The Team</strong></h3><p>Our On-Prem Engineering team owns the deployment of Arize within customer-managed environments. Beyond partnering with customers to define infrastructure requirements, the team designs and builds the systems that enable Arize to run seamlessly across a wide range of cloud and on-premise infrastructures.</p><p>Over time, the team has developed deep expertise in packaging and delivering features from our SaaS platform into reliable, production-ready releases for self-hosted customers. It’s a small, highly dynamic group that operates with a high degree of autonomy, ownership, and initiative.</p><p>In this role, you’ll focus on building, packaging, and delivering the Arize stack using a mix of technologies including Bazel, Go, Java, and Python. This is a unique opportunity to work on foundational infrastructure and play a key role in shaping how organizations observe, monitor, and evaluate AI systems in their own environments.</p><h3><strong>What You’ll Do</strong></h3><ul><li>Design, build, and maintain scalable backend systems that power the deployment of Arize in customer-managed (on-prem and cloud) environments.</li><li>Develop tooling and infrastructure to package, test, and deliver the Arize platform as reliable, production-ready self-hosted releases.</li><li>Work across the stack using Go, Java, Python, and Bazel to build reproducible builds and deployment pipelines.</li><li>Partner with customers to understand infrastructure constraints and translate them into robust deployment architectures.</li><li>Build and optimize services that support high-volume analytics workloads in resource-constrained or isolated environments.</li><li>Improve system reliability, observability, and upgradeability for distributed deployments.</li></ul><h3 class="p-rich_text_section"><strong data-stringify-type="bold">What will set you apart:</strong></h3><ul class="p-rich_text_list p-rich_text_list__bullet p-rich_text_list--nested" data-stringify-type="unordered-list" data-list-tree="true" data-indent="0" data-border="0"><li>5+ years of experience working with high-performance backend systems.</li><li>Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.</li><li>Previous work building and operating highly complex platforms/systems.</li><li>Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.</li><li>Familiarity with packaging, release engineering, or reproducible build systems (e.g., Bazel) is a strong plus.</li><li>Ability to operate with autonomy and ownership in a small, fast-moving team.</li></ul><p>The estimated annual salary for this role is between $150,000 - $175,000, 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.</p><p>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.</p><div class="content-conclusion"><h3>More About Arize</h3><p>Arize’s mission is to make the world’s AI work—and work for people.<br>Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale.</p><p>Learn more about what we're doing here:</p><p><a href="https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/">https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/</a></p><p><a href="https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/">https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/</a></p><p><strong>Diversity & Inclusion @ Arize</strong></p><p>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</p><ul><li>Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI</li><li>Culturally conscious events such as LGBTQ trivia during pride month</li><li>We have an active Lady Arizers subgroup</li></ul></div>