Senior AI Product Manager — Observability & Reliability

Arize AI; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity package

Unlimited PTO

Generous parental leave

WFH stipend

Job summary

Arize AI is a remote-first company building the leading AI observability and evaluation platform. The role focuses on owning a large portion of the product roadmap, collaborating with AI/ML experts, and delivering reliable, high-performing AI tools for production systems.

You will work closely with customers and cross-functional teams to turn insights into production-ready features, while leveraging data to steer strategic decisions and product direction in a fast-growing space.

Qualifications

• 3-5+ years of relevant product management experience or AI/ML experience with strong ownership in an AI-native company.
• Engineering and/or tech lead experience.
• Strong track record shipping in a technical domain.
• Willingness to work with code.
• Experience in machine learning/data platforms.

Responsibilities

• Own, strategize, and develop a large portion of Arize AI’s core product roadmap.
• Involved in all stages of the product life cycle from ideation to creation.
• Engage with customers to gather meaningful insights and feedback.
• Collaborate cross-functionally with engineering, design, marketing, and sales to drive strategy into production.
• Communicate and integrate competitive analysis, usability research, and market analysis into product requirements.
• Contribute to Arize AI’s main product offering with AI/ML/CV knowledge.

Skills

Product management

AI/ML experience

Engineering leadership

Customer engagement

Data-driven decisions

Tools

API design

Job description

Arize AI is a remote-first company building the leading AI observability and evaluation platform. The role focuses on owning a large portion of the product roadmap, collaborating with AI/ML experts, and delivering reliable, high-performing AI tools for production systems.

You will work closely with customers and cross-functional teams to turn insights into production-ready features, while leveraging data to steer strategic decisions and product direction in a fast-growing space.