Senior Product Solutions Architect - LLM Observability

Datadog; New York (NY); On-site; USD 167,000 - 244,000; Full time

Benefits offered by this job

RSUs

Employee Stock Purchase Plan (ESPP)

Generous global benefits

Mentor and buddy program

Job summary

Datadog’s Product Solutions Architects design architectures and best practices for LLM Observability, partnering with field teams to accelerate adoption across customer environments.

You will build reference architectures, technical guides, and cookbooks, and drive customer success at scale while translating field feedback into product improvements. This role requires hands‑on coding, deep systems knowledge, and travel to client sites.

Qualifications

• Strong software engineering foundation with hands‑on experience building and operating production systems.
• Familiar with tracing, metrics, and logging; can translate patterns to LLM observability.
• Proficiency in Python and/or JavaScript/TypeScript.
• Able to work in a fast-evolving, ambiguous domain and own problems end‑to‑end.

Responsibilities

• Serve as the in‑house subject matter expert for Datadog’s LLM Observability product.
• Provide hands-on architectural guidance to enterprise customers adopting LLM Observability.
• Create high‑impact collateral: reference architectures, guides, cookbooks, and docs.
• Build proofs of concept and small deployments to validate solutions in real customer environments.
• Deliver actionable feedback to Product Management based on field experience.

Skills

Python

JavaScript/TypeScript

Distributed systems

Observability

Code quality

Education

Bachelor's degree in Computer Science or equivalent

Tools

Datadog

SRE/DevOps tooling

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 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 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

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

The reasonably estimated yearly salary for this role at Datadog is: $167,000—$244,000 USD

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.

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