Jobs/Boston/Product Solutions Architect - LLM Observability
Boston, Massachusetts, United States

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 gui

Company
Datadog
Compensation
Not listed
Schedule
Full-Time
Role overview

What this role actually needs.

Product Solutions Architect - LLM Observability at Datadog in Boston. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. 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 gui

Responsibilities

Day-to-day expectations

A clear list of the work this role is designed to cover.

  • 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
  • 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
Requirements

What a strong candidate brings

This keeps the job page specific, readable, and easier to match.

  • 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
  • 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
Benefits

Why people would want this job

Benefits help searchers understand whether the role is a real fit before they apply.

  • 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
Subscriber playbook

Turn this listing into an application plan.

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Next moves

  • Tailor your resume around ai and llm instead of sending a generic application.
  • Use the first two bullets of your application to connect your background directly to product solutions architect - llm observability is a high-signal on-site role in boston, and it is most realistic for united states residents.
  • Open the role quickly if it fits and bookmark three similar jobs before you leave the page.

Interview themes

Cloud & DevOpsOn-siteaillmpythontypescript

Watchouts

  • Compensation is hidden, so get range clarity in the first recruiter conversation.
  • Use united states residents as part of your positioning so the recruiter does not have to infer it.
  • Show concrete examples of succeeding in on-site environments.
SEO context

Search intent signals for this listing

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Product Solutions Architect - LLM ObservabilityDatadogBostonUSCloud & DevOpsaillmpythontypescriptproductplatformobservabilityapicloudsecurity
Next step

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