Senior Product Solutions Architect - AI Agent

At Datadog, a Most Loved Workplace® certified employer in the Technology space, Observe, Secure, and Optimize Modern Cloud Infrastructure at Scale.

<p>The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.</p>

<p>Datadog’s AI Agent Observability product enables organizations to monitor, troubleshoot, and optimize large-scale AI-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the AI Agent Observability product team to design architectures, implement best practices, and drive adoption of AI Agent Observability across customer environments in two ways – performance, and reliability.</p>

<p><em>At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.</em></p>

<p><strong>What You’ll Do:</strong></p>

<ul>

<li>Serve as the in-house subject matter expert for Datadog’s AI Agent Observability product</li>

<li>Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting AI Agent Observability</li>

<li>Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community</li>

<li>Build proofs of concept and small-scale deployments to validate

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