Senior Product Solutions Architect - AI Agent

Job description

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. 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. 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. What You’ll Do: Serve as the in-house subject matter expert for Datadog’s AI Agent Observability product Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting AI Agent Observability Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience Who You Are: You bring a strong software engineering foundation, with hands-on experience building and operating AI Agent-powered applications in production environments at a large scale, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging You can translate the industry patterns into the emerging AI Agent observability domain, including agentic workflows, LLM spans, experiments, evaluations, and prompt templates Experience with languages such as Python and/or JavaScript/TypeScript Comfortable operating in rapidly evolving, ambiguous technical domains You build deep context across teams and translate it into reusable, scalable solutions You take ownership from problem definition through implementation and measurable outcomes Highly detail-oriented, particularly when working on architectures and customer-facing technical assets You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations Able to sit up to 4 hours, traveling to and from client sites Able to travel via auto, train, or air up to 40% of the time Bonus Points: Successful track record with 5+ years experience working as a Solutions Architect or Sales Engineer supporting the AI space Experience using Datadog and/or other observability tools in an SRE or DevOps capacity Experience with LLM application evaluation and testing frameworks Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: Best-in-breed onboarding Generous global benefits Intra-departmental mentor and buddy program for in-house networking New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing An