Product Solutions Architect - LLM Observability

Overview 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. 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, 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 You have experience with languages such as Python and/or JavaScript/TypeScript You are 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 You are 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 BonusPoints Successful track record with 5+ years of experience working as an Architect or Consultant Experience using Datadog and/or other observability tools in an SRE or DevOps capacity Experience with LLM application evaluation and testing frameworks 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 Community Guilds and Inclusion Talks Healthcare, dental, parental planning, and mental health benefits 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan Equal Opportunity at Datadog Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. #J-18808-Ljbffr Doist