Application Engineer, Open Source

Employment Type: [Not specified] Location Type: Hybrid (offices available in New York City and San Francisco Bay Area) Salary: $100,000 - $120,000 annually (plus competitive equity package)

The Opportunity

Artificial Intelligence (AI) is rapidly transforming the world, from developing next-generation human-level intelligence to enabling large-scale genetic marker analysis. AI is becoming increasingly integrated into 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.

About Arize Phoenix

Our open-source platform enables developers to build LLM-powered applications with safety and observability at their core. With hundreds of thousands of monthly downloads, Arize Phoenix serves a wide range of users, from Fortune 500 companies to cutting-edge startups. We are backed by TCV, Foundation Capital, Swift Ventures, and Battery Ventures.

The Role

As an Application Engineer on the Open Source team, you will be the critical bridge between Arize Phoenix and the community we serve. Your mission is to ensure users successfully adopt and implement Arize Phoenix across diverse AI use cases. This hybrid role combines technical problem-solving with community engagement. You might build a demonstration app showcasing a new feature one day, and the next, run a workshop at a tech conference or troubleshoot with users in our Slack community.

This is an ideal entry point for new computer science graduates or driven professionals transitioning into tech who possess strong technical foundations and exceptional communication skills. You will have a direct impact on product adoption while gaining invaluable experience across the AI ecosystem. For our most successful team members, this role has served as a frequent internal launching pad to other senior technical roles, engineering, and even product management.

What You'll Work On

• Community Support: Guide users through implementing tracing, experimentation, and evaluation tools for their LLM applications.
• Solution Building: Create example applications, demos, and documentation that showcase effective use of our platform.
• Technical Outreach: Represent Arize at events, run office hours, and engage with the AI developer community.
• Product Advocacy: Collect user feedback, advocate for community needs, and help prioritize feature development.
• Code Contribution: Develop improvements to our core libraries based on community interactions and needs.

What Makes You Right for This Role

• Recent CS graduate or professional with equivalent practical coding experience.
• Solid foundation in Python, TypeScript/JavaScript, and modern software development practices.
• Genuine passion for AI/ML technologies and their practical applications.
• Strong written and verbal communication skills – you can explain complex technical concepts clearly.

Our Values

• Technical Versatility: Seamlessly switch between infrastructure and application development.
• Intellectual Horsepower: Combine sharp technical skills with execution excellence.
• Growth Mindset: Rapidly learn new technologies and embrace challenges.
• Team Elevation: Mentor others and raise the bar through collaboration.
• Customer Focus: Translate user feedback into features with urgency.

Compensation and Benefits

The estimated annual salary and variable compensation for this role is between $100,000 - $120,000, 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, and vision insurance
• 401(k) plan
• Unlimited paid time off
• Generous parental leave plan
• Other benefits for mental and wellness support.