Senior Product Solutions Architect - LLM Observability

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 LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-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 LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments. 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 LLM Observability product - Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM 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 LLM-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, and can translate those patterns into the emerging LLM observability domain, including LLM spans, 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 inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $167,000—$244,000 USD About Datadog: Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility ac

Strong software engineering foundation with hands-on experience building and operating LLM-powered applications in production at a large scale. Familiar with distributed systems and core observability concepts (tracing, metrics, logging) and able to translate those patterns into the LLM observability domain (LLM spans, evaluations, prompt templates). Experience with Python and/or JavaScript/TypeScript. Ability to operate in rapidly evolving, ambiguous technical domains, build context across teams, and deliver measurable outcomes. Comfortable supporting customers in high-pressure, complex situations. Ability to sit for up to 4 hours and travel up to 40% of the time. Bonus points for 5+ years as a Solutions Architect or Sales Engineer in AI, experience with Datadog or observability tools in SRE/DevOps, and experience with LLM evaluation/testing frameworks.