The opportunity
As organizations move AI agents from experimentation into production, engineering teams need to understand whether those agents are accurate, reliable, performant, and cost-effective. Datadog Agent Observability helps teams understand, evaluate, and improve AI agents across the development lifecycle.
What you'll do
Own the roadmap for new Agent Observability capabilities
Develop a deep understanding of how teams build, evaluate, monitor, and troubleshoot AI agents
Engage directly with customers and design partners to validate problems, test: product concepts, and improve the product
Work closely with engineering and design to deliver new capabilities from: early concepts through launch and iteration
Partner with GTM teams on positioning, sales enablement, customer education, and adoption
Track developments across the broader AI ecosystem to guide priorities
What they're looking for
- + years of PM experience, ideally in the AI/ML space
- Working knowledge of how AI agents are built and operated, or have hands-on: experience with AI Observability or MLOps tooling
- Take ownership of outcomes and have a strong bias for action
- to 1 experience is preferred