"ai observability" Jobs
568 open tech roles matching “ai observability”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 568 results
Join CoreWeave as a Senior Software Engineer II to design and build observability infrastructure for AI systems.
Own the roadmap for Agent Observability capabilities to help customers develop and operate reliable AI agents.
Join Vercel as a Product Manager to lead the strategy for observability products in a hybrid role based in New York.
Lead a team of engineers to manage and execute on observability pipelines in a hybrid work environment.
Own and develop Arize AI’s core product roadmap in a senior product management role within a rapidly growing AI observability company.
Join MongoDB as a Senior Software Engineer to enhance database integrations and observability in a collaborative environment.
Drive the product vision for Journey Monitoring at Datadog, bridging technical metrics and business outcomes.
Join Fastly as a full-stack software engineer to enhance internal observability and developer experience.
Join Reflection AI as a Fullstack Engineer to build and operate a foundations platform for scalable developer infrastructure.
Join Reflection AI as a staff engineer to build and operate a foundational platform that accelerates engineering teams.
Lead the evolution of Datadog's fleet and lifecycle management platform, enhancing customer visibility and control over observability software.
Join Arize AI as a Senior AI Product Engineer to build scalable solutions for AI observability and evaluation.
Join Reflection AI as a hands-on technical staff member to enhance model performance through data-driven evaluations and feedback loops.
Join Browserbase as a Software Engineer to build and scale the dashboard and web experience in a fast-paced startup environment.
Join Arize AI as a Senior AI Product Engineer to build scalable backend systems for ML observability in a hybrid work environment.