The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. As this role will work with our APJ accounts, we are prioritizing candidates who are based in Singapore.

What You’ll Do

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. As this role will work with our APJ accounts, we are prioritizing candidates who are based in South Korea.

What You’ll Do

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Team

Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. As this role will work with our APJ accounts, we are prioritizing candidates who are based in Malaysia.

What You’ll Do

• Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings
• Gather requirements from customers and adapt manifests and software to support new environments
• Use and augment monitoring tools to observe platform health, ensure performance and reliability
• Interact with the product team to test new features and package new on-prem releases
• Automate and optimize the release pipeline to make it as frictionless as possible
• Exhibit continuous curiosity for emerging technology that could solve our challenges

• 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar
• Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs
• Experience and fluency in Kubernetes
• A self starter with an ability to thrived in a fast paced environment
• Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments
• Strong troubleshooting skills

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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.

The Role

We're looking for a Design Engineer to build ambitious interfaces at the frontier of AI development, evaluation, and observability. You'll design, prototype, and ship experiences that help AI teams understand, troubleshoot, and improve the systems powering their next-generation applications.

Here's what makes this role different: Modern AI work is no longer purely human-driven. Arize Phoenix is a platform used by AI teams and AI agents such as Claude Code. You won't just craft great UX. You'll pioneer great AX (Agent Experience)—product surfaces that are delightful for people and interoperable, safe, and legible for agents.

What You’ll Work On

Product & Interface Design

• Design and build compelling product experiences for Arize Phoenix across UI-driven and programmatic workflows
• Create interactive visualizations for embeddings, traces, evaluation runs, and agent/tool workflows
• Develop reusable components and templates for our design system, from concept to production

Agent Experience (AX)

• Build Agent Experience primitives: interaction contracts, human-in-the-loop workflows, and agent-friendly UI surfaces
• Enable agents to query, navigate, trigger evaluations
• Shape the patterns that define how humans and AI agents collaborate within a shared workspace

Prototyping & Exploration

• Prototype new AI features and UI patterns for visualizing performance, surfacing anomalies, and explaining AI behavior—especially for multi-step agent systems
• Use AI-assisted UI generation to accelerate prototyping while maintaining craft, accessibility, and consistency
• Push the boundaries of what's possible when your users include both humans and machines
  

You Might Be a Great Fit If You 

• Have strong frontend engineering skills (React, TypeScript) paired with design sensibility
• Think deeply about interaction design, information architecture, and developer experience
• Are curious about AI systems and eager to learn how agents, evaluations, and observability work
• Enjoy prototyping quickly and iterating toward polish
• Care about accessibility, performance, and craft
• Thrive in open-source communities and async collaboration

Why Arize

Arize Phoenix is becoming the shared workspace where AI teams investigate issues and make decisions—while agents run evaluations, triage failures, and propose fixes alongside them. We're not just building tools for AI development. We're building the environment where humans and AI agents work together.

This is a rare opportunity to define the design language for a new category of product experience. If you're excited about designing for users that include both people and AI systems, we'd love to talk.

The estimated annual salary and variable compensation for this role is between $175,000 - $200,000, 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.

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.

The Opportunity

Our Backend Engineering team builds all of the highly scalable distributed services that power Arize’s ML observability platform. While Go is our primary language for these distributed systems, the team also maintains services and tools written in Python, Java, and TypeScript. The expectation and scope of every individual on this team is high, whether it’s finding the most efficient way to compute model evaluation metrics across billions of data points, designing the next generation of our OLAP database architecture, or researching and implementing the latest dimensionality reduction techniques – you will never lack a technical challenge.

You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work. Our product solutions range from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second.

What You’ll Do

• Write maintainable, scalable, and performant backend code primarily in Go, Java, and Python, with opportunities to work in TypeScript.
• Build high-volume and highly available analytics systems.
• Design and build APIs specific to our customers’ Machine Learning and LLM workflows.
• Prototype, optimize, and maintain scalable backend services that power the Arize core platform.
• Extend, and contribute back to, open source OLAP databases and distributed message queue frameworks.
• Develop and integrate collection tools for robust monitoring of ML and LLM pipelines.
• Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.
• Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
• Contribute to the build our own in-house AI Agents

What We’re Looking For

• 5+ years of experience working with high-performance backend systems.
• Strong experience writing Go, Python, TypeScript/Node, Java, or similar server programming languages.
• Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
• Previous work building and operating highly complex SaaS platforms/systems.
• Knowledge of working with public clouds & container orchestration - AWS, GCP, Azure, Kubernetes, etc.

Bonus Points, But Not Required

• Experience with distributed stream processing - Kafka, Gazette, or similar.
• Experience with OLAP systems.
• Familiarity with system observability tooling like Prometheus.
• Working knowledge of Machine Learning and/or Data Science.
• First-hand experience working with large language models (LLMs) or developing AI products.

The estimated annual salary for this role is between $125,000 - $225,000, 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.

The Opportunity

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.

The Team

Our Fullstack Engineering team builds both the highly scalable distributed services that power Arize's ML observability platform and the intuitive frontend applications that bring these capabilities to life. The team primarily works in TypeScript and Python to create seamless data visualization and monitoring experiences, with some services written in Go. We focus on delivering robust features that help clients interpret, visualize, and monitor their AI and ML models across the entire stack.

You will be a part of the core team that drives product innovation at Arize. You will be challenged with understanding how some of the most impactful engineering teams are developing AI and LLM-powered applications, and how to build the right tools to enable them to do their best work. Our product solutions range from clean APIs that magically instrument applications, interactive playgrounds for prompt engineering and agent development, or scaling up real-time evaluation infrastructure to handle millions of annotations per second

What You’ll Do

• Write maintainable, scalable, and performant code across the stack primarily in Typescript and React with opportunities to work in Python and Go.
• Design and build APIs, and domain / object models specific to our customers’ Machine Learning and LLM workflows.
• Design and build out performant and reusable react components that will be used throughout the application.
• Research and implement cutting-edge visualization & dimensionality reduction algorithms in a distributed environment.
• Collaborate with our product, design, and directly with customer engineering teams to enhance and expand our product offerings.
• Contribute to the build our own in-house AI Agents
• Participate in or lead architectural decisions for new and existing features in collaboration with product, design and our backend teams. 
• Contribute to design & code reviews and technical documentation.

What We’re Looking For

• 5+ years of frontend experience working on external user-facing UI’s - preferably in React and Typescript
• Previous experience debugging complex systems in a team environment.
• Enthusiasm and interest in the AI and LLM ecosystem, with a desire to learn and stay updated on emerging technologies.
• Previous work building and operating highly complex, high-volume SaaS platforms/systems.
• Strong sense of product ownership in order to push features over the line.
• Passion for creating beautiful UX design with the end user in mind.
• A good teammate, someone who sees supporting their team as a core part of the job

Bonus Points, But Not Required

• Experience working with GraphQl or a comparable API technology.
• Experience working with ML, analytics, data science or data visualization products.
• Working knowledge of Machine Learning and/or Data Science.
• First-hand experience working with large language models (LLMs) or developing AI products.

The estimated annual salary for this role is between $125,000 - $225,000, 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.

Why this role matters

Arize AX is the AI & Agent Engineering Platform – one place to develop, evaluate, and operate AI at scale. From tracing and evaluators to experiments and monitoring, we help AI teams close the loop between development and production.

The platform is already running at real scale – trillions of spans per month, tens of millions of evals, and millions of OSS downloads – and adoption is only accelerating. To keep up, we need engineering leaders who can move fluidly between building product-facing experiences and scaling backend systems.

This is not a narrow “frontend EM” or “infra EM” role. It’s a hybrid – product-engineering meets backend/infrastructure – for someone who enjoys solving hard technical problems while also growing people and driving projects.

What you’ll do

• Contribute as an engineer on complex product and infrastructure challenges – building features that customers touch and scaling the systems behind them. One week you may be reviewing designs for a new workflow in the UI, the next digging into performance bottlenecks in the query layer.
• Lead a team of engineers and tech leads – hiring, mentoring, and creating the conditions for them to do the best work of their careers.
• Drive projects end-to-end – ensuring scope is clear, trade-offs are well understood, and delivery is predictable.
• Work cross-functionally with Product and Design to set direction, and with Solutions and Support to make sure we’re solving the real problems our customers face in production.

What success looks like

• Your team ships impactful features and infrastructure improvements reliably – without burning out.
• Systems and workflows you touch become more scalable, reliable, and maintainable.
• Engineers you manage are growing into broader scope and leadership.
• Product, Design, Solutions, and Support see you as a trusted partner who helps turn customer needs into product reality.

What we’re looking for

• You’ve been both an IC and a manager – you know what great engineering looks like at the system and code level, and you know how to build and lead teams.
• Strength across both product/fullstack engineering and backend/infrastructure – comfortable moving between customer-facing workflows and the systems that power them.
• Experience balancing people leadership, project execution, and technical depth.
• Clear, direct communicator who builds trust across teams.

Bonus points

• Prior founder or early-stage builder – comfortable creating clarity in ambiguity and wearing multiple hats.
• Experience with open standards like OpenTelemetry or OpenInference, or contributing to OSS.
• Background in ML/LLM infrastructure, observability, or evaluation tools.
• A track record of building developer platforms or enterprise products that engineers love to use.

Why Arize

• Mission – help teams build AI that actually works in the real world.
• Scale – systems operating at trillions of spans and tens of millions of evals per month.
• Growth – join at an inflection point and help shape both the product and the team.

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.