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Arize Jobs (NOW HIRING)

Arize AI

Senior AI Product Engineer, Backend

$125K - $225K/yr

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 ...

Arize AI

Forward Deployed AI Engineer, East

$155K - $190K/yr

Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. * Manage multiple concurrent customer engagements, driving projects from ...

Arize AI

Enterprise Account Executive, East

$250K - $300K/yr

Conduct discovery with prospects and share the Arize vision * Run a sophisticated prospecting strategy to "get the word out" and find deals * Create sales plays, write talk tracks and strategically ...

Arize AI

AI Solutions Manager, West

$140K - $175K/yr

You'll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal ...

Arize AI

Forward Deployed AI Engineer, West

$155K - $190K/yr

Build custom integrations, tooling, and workflows that extend the Arize platform to meet customer-specific requirements. * Manage multiple concurrent customer engagements, driving projects from ...

Arize AI

AI Solutions Manager, East

$140K - $175K/yr

You'll be working with Arize customers to help them improve the AI they use across their organizations. You will be in charge of driving customer adoption and managing customers through their renewal ...

Arize AI

Open Source AI Engineer (Typescript)

$185K - $200K/yr

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 ...

Redfish Recruiting

$125K - $175K/yr

Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build ...

Redfish Recruiting

$125K - $175K/yr

Arize is the leading machine learning observability platform to help ML teams discover issues, diagnose problems, and improve the results of machine learning models. In short: we are here to build ...

Cerebras

Enterprise Account Executive, East

Manhattan, NY · On-site

$250K - $300K/yr

About Arize 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

AI Solutions Manager, Digital Native

$140K - $175K/yr

Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. * Collaborate with technical teams, including ...

Arize AI

AI Solutions Manager, SMB

$140K - $175K/yr

Conduct discovery with customers to understand their goals, share the Arize vision, demonstrate product capabilities, and propose tailored solutions. * Collaborate with technical teams, including ...

Tata Consultancy Service Limited

Technical Lead

Plano, TX · On-site

$120K - $137K/yr

Develop custom Claude Skills/Plugins and integrate Arize reports. Agentic AI Platform Architecture: Design and deploy multi-agent systems (Amazon Bedrock, Claude Sonnet, LangGraph) for enterprise ...

Merican

AI Observability Engineer

Charlotte, NC · On-site

Implement AI observability using tools like Arize to monitor model performance, prompt quality, hallucinations, latency, and inference metrics. * Establish AI governance, evaluation frameworks, and ...

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Arize information

What is an Arize?

Arize is not a standard job title, but most commonly refers to Arize AI, a company specializing in machine learning observability and model monitoring. Professionals working at Arize, such as machine learning engineers or data scientists, focus on developing and maintaining tools that help organizations monitor, troubleshoot, and improve their AI models in production. Their work involves analyzing model performance, detecting issues like data drift or bias, and ensuring reliable deployment of machine learning systems. If you are referring to a specific role within Arize AI, responsibilities may vary depending on the position, such as engineering, product management, or customer success. Clarifying the exact job title or context can help provide more tailored information.

What are the key skills and qualifications needed to thrive as an Arize professional?

To thrive in a role focused on Arize (typically related to machine learning observability), you need a solid background in data science, software engineering, and familiarity with machine learning concepts, often supported by a relevant degree. Experience with tools like Arize AI, cloud platforms (AWS, GCP, Azure), and machine learning frameworks is highly valuable, as are certifications in these areas. Strong analytical thinking, problem-solving skills, and effective communication help professionals interpret results and collaborate with cross-functional teams. These skills are crucial for ensuring the reliability, fairness, and performance of machine learning models in production environments.

What are some typical challenges faced by professionals working at Arize and how can they be overcome?

At Arize, team members often work in a fast-paced, innovative environment focused on machine learning observability. A common challenge is keeping up with rapidly evolving technologies and integrating new tools into existing workflows. Collaboration across cross-functional teams, such as data scientists, engineers, and product managers, is essential to ensure alignment on project goals. Proactively seeking feedback, participating in continuous learning initiatives, and leveraging internal resources can help new hires adapt quickly and succeed in their roles.

What is the difference between Arize vs Data Analyst?

AspectArizeData Analyst
Required CredentialsTypically requires knowledge of machine learning, data monitoring tools, and programming skillsUsually requires a bachelor's degree in data science, statistics, or related fields; some roles prefer certifications
Work EnvironmentPrimarily in tech companies, data-driven organizations, and AI-focused teamsIn various industries including finance, marketing, healthcare, often in office settings
Employer & Industry UsageUsed by companies deploying AI/ML models to monitor performanceUsed across industries for data analysis, reporting, and decision-making support

While Arize focuses on monitoring and managing AI/ML models, Data Analysts primarily analyze data to generate insights. Both roles require strong analytical skills, but Arize emphasizes technical expertise in model performance, whereas Data Analysts focus on interpreting data for business decisions.

More about Arize jobs

What states have the most Arize jobs?

States with the most job openings for Arize jobs include:

What job categories do people searching Arize jobs look for?

The top searched job categories for Arize jobs are:

Arize jobs near you
Infographic showing various Arize job openings in the United States as of September 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 57% Physical, 8% Hybrid, and 35% Remote job distribution.

Senior AI Product Engineer, Backend

Remote

Arize AI
Software Development • 51 - 200 employees
Learn more about Arize AIexternal

$125K - $225K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

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.

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