
Arize AI

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About
Arize AI is an AI observability and LLM evaluation platform designed for AI engineers. It offers end-to-end tracing, evaluation, and troubleshooting capabilities for building high-performing AI agents and applications. Key features include visualizing data flow, identifying bottlenecks, managing experiments, assessing LLM performance, and implementing proactive safeguards against issues like hallucinations or PII leaks. Arize's Copilot feature leverages AI-powered workflows to analyze and refine application performance, providing targeted suggestions for enhancements and troubleshooting. It supports various model types (generative AI, ML, Computer Vision) and offers cloud-native solutions with OpenTelemetry integration. The platform is designed for scalability, security, and compliance with standards like SOC 2 Type II and HIPAA.
Platform
Task
Features
• performance monitoring
• prompt engineering
• ai observability
• llm evaluation
• debugging
• tracing
• experiment management
• model monitoring and alerting (for bias, drift, etc.)
Pricing Plans
Pro
$50.00 / per month• Up to 2 models or apps
• 10K logs per month
• 10GB storage
• 200 features per model
• 1M production predictions per month
• 14-day lookback period
• 3 sessions per app
• 5GB LLM use case storage
• 1 offline LLM evaluation
• 1 online evaluation
Enterprise
Unknown Price• Custom number of models or apps
• Custom volume logs
• Custom volume storage
• 1000+ features per model
• Custom volume production predictions
• Customizable lookback period
• Unlimited sessions per app
• Unlimited LLM use case storage
• Unlimited offline LLM evaluations
• Unlimited online evaluations
Job Opportunities
Customer Success Manager
Arize AI provides an AI observability platform for building and deploying high-performing AI applications, focusing on tracing, evaluation, and troubleshooting.
Benefits:
Comprehensive health, dental & vision plans
Flexible paid time off
401K plans
Remote-friendly
Commuter benefits
Experience Requirements:
3+ years SaaS sales experience
Other Requirements:
Familiarity or willingness to learn sales technologies to find and attract prospects
Worked with customers and have conducted customer renewals
Self-starter and comfortable working in limited process environments
Full-cycle customer experience and ability to navigate the complexities of customer health
Fast-paced and focused on helping customers
Ability to demo the Arize platform to showcase the product to customers
Team player
Strong communication skills
Strong account management skillset
Great organizational skill set and ability to manage multiple customers at once
Familiar with SaaS negotiations and contracts
Responsibilities:
Manage customer relationships and foster adoption and growth of Arize
Handle renewal contracts and upsells directly with customers
Build relationships with AI/ML users and grow/foster customer adoption
Manage an account plan and align the Arize team on how to best drive client health
Identify areas of growth and upsell opportunities in account base Demonstrate the product’s capabilities and identify opportunities for training customers Work closely with the Customer Success Engineering team to advise on technical best practices and ensure customer accounts are healthy Conduct discovery with customers and share the Arize vision Prospect wider into customer accounts to drive more adoption Manage customer feature requests and ensure they are relayed to the team in a timely manner Ensure support is aligned with customer requests Manage and navigate internal / external stakeholders to ensure success Understand use cases, scope licensing and find more workloads
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AI Growth Engineer
Arize AI provides an AI observability platform for building and deploying high-performing AI applications, focusing on tracing, evaluation, and troubleshooting.
Benefits:
Comprehensive health, dental & vision plans
Flexible paid time off
401K plans
Remote-friendly
Commuter benefits
Experience Requirements:
3+ years experience working as a Developer Advocate, Data Scientist, AI/ML Engineer, Solutions Engineer, or technical Product Manager/Marketer
Other Requirements:
Working knowledge of generative AI, machine learning, and data science
Technical experience with the LLM app development stack (e.g. agents, orchestration frameworks, vector databases, evaluation libraries) with proficiency in Python
Engaged in technical communities via GitHub, Medium, DZone, Stack Overflow, Reddit, LinkedIn, etc.
A data-driven creative who thrives in ideating and delivering on novel activities that earn the attention and trust of AI/ML practitioners
A self-learner who isn’t daunted by technical complexity and welcomes the challenge to develop their own POV
Excellent written and verbal communication
Willingness to attend evening meetups and events in the SF Bay Area
Responsibilities:
Create visibility of Arize and Phoenix content through thought-provoking daily technical content that is pushed out through AI community whether twitter, linkedin and reddit
Build connections to Arize and Phoenix through viewership and consumption of AI related materials
Build research, content and video snippets that resonate in the AI community and are related to Arize in areas of Evaluation, AI Assistants, AI Agents and AI Applications.
Write code, build AI applications and write cookbooks that demonstrate the Arize product lines or other ecosystem tools that can be spread in the AI community
Write the book on AI social marketing on how to turn consumption of AI content into OSS product usage & awareness
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AI Product Engineer, New Grad
Arize AI provides an AI observability platform for building and deploying high-performing AI applications, focusing on tracing, evaluation, and troubleshooting.
Benefits:
Comprehensive health, dental & vision plans
Flexible paid time off
401K plans
Remote-friendly
Commuter benefits
Other Requirements:
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
Responsibilities:
You will be a part of the core team that drives AI 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.
Most of our code is written in Go, but we also work with Python, Java, and TypeScript.
Computing model evaluation metrics across billions of data points Creating AI Agents that help customer troubleshoot their own applications Building on top of a cutting-edge custom OLAP database. Implementing advanced dimensionality reduction techniques Building systems that handle millions of annotations per second
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