Senior Frontend Engineer

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.
Arize AI is the leading AI & Agent Engineering observability and evaluation platform
, 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.

We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like , Uber, Siemens, and Pepsi Co leverage Arize to deliver AI that works.

Our customers are high performing teams running agents and models in production. Your job is to make those workflows feel instant, predictable, and trustworthy.

• Spend most of your time building rich, performant frontend experiences in React + Type Script (dashboards, traces, configuration flows, real-time views).
• Collaborate with backend engineers on requirements, define API contracts, implement UI, and ship with metrics, logs, and alerts wired up.
• Design and implement patterns built for scale that work under real data and load.
• Lead frontend architecture decisions around routing, data fetching, caching, and client-side error handling.
• Build and iterate on visualizations for model performance, agent behavior, and real-time signals by paying attention to rendering performance and perceived latency.
• Drive UI resilience: robust loading states, optimistic updates where appropriate, pagination / virtualization, retry logic, and graceful degradation.
• Provide technical leadership: reviewing designs and PRs, mentoring engineers on frontend patterns and performance, and raising the bar on UX quality in code.

• You have 5+ years of experience building user-facing web applications, including senior-level ownership of complex, high-impact projects.
• You’re fluent in React and Type Script, and have helped shape or modernize a frontend stack.
• You have practical experience with Graph
  
  QL (schemas, queries, mutations, performance considerations) and at least one Graph
  
  QL client.
• You’ve worked on performance-sensitive or data-heavy products (dashboards, observability, dev tools, ML platforms, real-time UIs).
• You use metrics and traces to guide performance work.
• You care about UX quality such as loading states, error states, keyboard shortcuts, micro-interaction, and express that care through clean abstractions and solid architecture.
• You’re energized by education.

Bonus Points, But Not Required

• Experience with data visualization libraries (D3, Vega, Plotly, visx, Recharts, etc.) and awareness of their performance tradeoffs.
• Experience with Python or Go services, especially in distributed or high-throughput environments.
• Experience setting up fine-grained product analytics and performance dashboards to track user journeys and frontend SLIs/SLOs.

The estimated annual salary for this role is between $175,000 - $200,000, plus a competitive equity package. Actual compensation is determined based on a variety of job-related factors that may include transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefits package, including medical, dental, vision, a 401(k) plan, unlimited paid time off, a generous parental leave plan, and additional support for mental health and wellness.

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.

Arize’s mission is to make the world’s AI work—and work for people.

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.

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.

As set forth in Arize AI’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Any information you provide will be kept confidential and will not be used in hiring decisions.