About the job
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.
Responsibilities
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
Qualifications
Minimum
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
Preferred
Successful track record with 5+ years 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