Open Source Fullstack Engineer, Arize AI

• Shipped web applications or completely new product features from scratch. Have gone from prototype to production serving end users in a short amount of time
• Shipped AI/LLM-native applications - from UX to core algorithms
• Iterated rapidly with customers - translate user feedback into features back to proactive user discovery. Help jointly develop and iterate on product roadmap for core features
• Worked with product and design, and also demonstrated instances of wearing the PM hat yourself to proactively scope and design features
• Shipped applications that scaled to millions of users
• [Bonus] machine learning experience
• Taking ownership of complex problems from day one
• Putting in the extra effort to learn new technologies rapidly
• Pushing yourself outside your comfort zone regularly
• Maintain high standards of code quality despite being new to the industry
• Think critically about system and product design rather than just following instructions
• Integrity, Alignment, and Passion
• Adaptability and the ability to work with limited resources
• Intellectual Horsepower (Smart x Get Things Done)
• Level up the people around you
• Domain specific knowledge

• [Primary] Front-end/full-stack work for our OSS offering
• FE stack React, GraphQL, etc
• Backend stack: Python, Nodejs, Docker, Cloud services, databases, etc. etc
• [Secondary] General feature development, maintenance, and education for our open-source libraries (Python and Typescript)

• Remote work opportunities

Total funding: $61m

Machine learning is rapidly becoming a fundamental and mainstream automation tool used across many industries. The issue, however, is that monitoring, assessing, and improving ML models is costly, and especially tricky without monitoring capabilities. It’s created a market demand for ML monitoring tools, and Arize’s platform offers a rich suite of them.