• Lead efforts to improve Datadog’s public-facing MCP server, enabling intelligent agents to discover and interact with our services • Design and implement agentic tool surfaces tailored for evaluation and production use across a wide variety of AI agents • Build and maintain advanced evaluation pipelines for measuring agent performance on Datadog workflows (e.g., investigations, incident triage, metric queries) • Investigate and resolve failure cases by analyzing tool output, improving query parsing, and enhancing agent feedback mechanisms • Collaborate across Applied AI and internal teams to align on shared standards for tool integration and data access

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features. • Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products. • Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability. • Drive product direction with a strong user focus, always advocating for the best end-user experience. • Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows. • Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes. • Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features. • Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products. • Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability. • Drive product direction with a strong user focus, always advocating for the best end-user experience. • Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows. • Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes. • Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.

• Lead efforts to improve Datadog’s public-facing MCP server, enabling intelligent agents to discover and interact with our services • Design and implement agentic tool surfaces tailored for evaluation and production use across a wide variety of AI agents • Build and maintain advanced evaluation pipelines for measuring agent performance on Datadog workflows (e.g., investigations, incident triage, metric queries) • Investigate and resolve failure cases by analyzing tool output, improving query parsing, and enhancing agent feedback mechanisms • Collaborate across Applied AI and internal teams to align on shared standards for tool integration and data access