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Full-Time

AI Product Manager

LLM

Confirmed live in the last 24 hours

Arize AI

Arize AI

51-200 employees

AI observability and model evaluation platform

Data & Analytics
AI & Machine Learning

Compensation Overview

$100k - $185kAnnually

+ Equity Package

Junior, Mid

Remote in USA

Category
Product Management
Product Strategy
Product
Required Skills
Product Management
Computer Vision
Requirements
  • 2-3+ years of relevant product management experience or previous AI/ML experience with strong product ownership.
  • Strong track record of building in a technical domain while shipping quickly and efficiently.
  • Willingness to get your hands dirty with code!
  • Experience and/or knowledge of working within machine learning, or data platforms and infrastructure.
  • Experience working directly with customers and promoting community discussions in order to gather client feedback.
  • Experience driving data-informed product strategy into production.
Responsibilities
  • You will be owning, strategizing, and developing a large portion of Arize AI’s core product roadmap.
  • From ideation to creation, you will be involved in all stages of the product life cycle.
  • You will be engaging with our customers directly to gather meaningful insight and feedback in order to create a world class product.
  • You will be working cross functionally with internal and external stakeholders; including engineering, design, marketing, and sales to drive our product strategy into production.
  • You will be responsible for communicating and integrating competitive analysis, usability research, and market analysis into product requirements.
  • Utilize your understanding in AI/ML/CV or related technical space in order to contribute to Arize AI’s main product offering.

Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access tools for analyzing issues in their AI systems, such as tracking LLM traces and spans, and conducting retrieval-augmented generation (RAG) analysis. Arize AI differentiates itself by offering task-based evaluations that help identify problems like hallucinations and relevance in AI outputs. The goal of Arize AI is to assist AI companies in continuously enhancing the effectiveness of their models by providing insights and analytics that lead to performance improvements.

Company Stage

Series B

Total Funding

$61M

Headquarters

Berkeley, California

Founded

2020

Growth & Insights
Headcount

6 month growth

8%

1 year growth

19%

2 year growth

41%
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Simplify's Take

What believers are saying

  • Arize's partnerships with industry leaders like Google Cloud and recognition at events like VB Transform position it as a frontrunner in AI observability.
  • The launch of AI Copilot and other advanced tools can significantly enhance the productivity and efficiency of AI engineers, making Arize an attractive workplace for top talent.
  • Continuous innovation and the introduction of open-source tools like Phoenix demonstrate Arize's commitment to community and technological advancement.

What critics are saying

  • The highly specialized focus on AI observability and LLM evaluation may limit market size and growth potential.
  • Rapid technological advancements in AI could render some of Arize's current tools and features obsolete, requiring constant innovation to stay relevant.

What makes Arize AI unique

  • Arize AI specializes in AI observability and LLM evaluation, a niche focus that sets it apart from broader AI monitoring platforms.
  • The introduction of industry-first tools like AI Copilot and Phoenix for monitoring LLM hallucinations highlights Arize's commitment to innovation and addressing specific AI challenges.
  • Arize's platform offers comprehensive troubleshooting capabilities, including prompt engineering and retrieval tracing workflows, which are not commonly found in competitor platforms.

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