Senior AI Product Manager, Observability

About the Role

The Senior AI Product Manager, Observability owns the end-to-end product vision for observability. From initial discovery through final launch, this role shapes the tools that teams use to monitor and enhance AI systems in production environments. The position sits at the intersection of complex AI workflows and tangible user outcomes, ensuring that the product delivers real value.

Arize AI is the leading AI and Agent Engineering observability and evaluation platform. It empowers AI engineers to ship high-performing, reliable agents and applications. The platform unifies build, test, and run in a single workspace, enabling teams to move from prototype to production scale with confidence. Arize serves over 150 leading enterprises and Fortune 500 companies, including Booking.com, Uber, Siemens, and PepsiCo.

Key Responsibilities

You will design intake workflows that capture telemetry and context for model behavior. This ensures the right data is collected to understand how models perform in the real world.

You will architect build modules to instrument agents and trace execution paths across systems. This provides visibility into how AI agents operate and where potential issues may arise.

You will conduct review sessions where data informs decisions on model adjustments and thresholds. These sessions are critical for maintaining high standards of model performance.

You will coordinate ship rituals that validate performance before releases reach users. This process ensures that only reliable and well-tested features are deployed.

You will establish partner integrations that align observability standards across ecosystems. This work helps maintain a consistent experience for users of Arize.

You will champion experimentation frameworks that test hypotheses about model reliability. This involves designing tests to validate assumptions and improve product quality.

You will translate support signals into product insights that refine monitoring capabilities. Feedback from the field is a direct input for improving the product.

You will own roadmaps that balance immediate fixes with long-term platform scalability. This requires managing priorities to deliver both quick wins and strategic advancements.

Requirements

You bring 3-5 years of experience shaping products within AI or observability-focused environments. This background is essential for understanding the specific challenges of the domain.

You have prior engineering or technical lead experience handling complex technical domains. This history demonstrates your ability to navigate difficult technical problems.

You ship quickly while maintaining rigorous standards for data quality and accuracy. Speed and precision are both required for success in this role.

You are comfortable writing or reviewing code to understand implementation tradeoffs. This skill helps you communicate effectively with engineering teams.

You understand machine learning concepts and data platform architectures deeply. This knowledge is necessary to make informed product decisions.

You have direct customer exposure, gathering feedback and translating it into product decisions. Engaging with users is a core part of the role.

You drive data-informed strategies from analysis through production deployment. You use data to guide decisions at every stage of the product lifecycle.

Nice to Have

Experience with API design is a valuable skill for this role.

Experience in early startup environments is beneficial.

Familiarity with Figma or similar interface design tools is a plus.

Skills and Tools

Proficiency with Arize AX is required. You will work directly with the platform daily.

Python skills are important for interacting with the tech stack.

A deep understanding of Machine Learning is necessary for the role.

Knowledge of Data Platforms is essential for managing information.

Experience with Observability tools is a key requirement.

Practical Notes

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