Senior Product Solutions Architect, AI Agent

Datadog

Confirmed live 2 days ago High trust
Remote Hybrid

Quick summary

Work type
Remote
Location
Remote
Salary
$185,000–$246,000 / yr
Posted
101 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $208k
This role $216k
$160k most similar roles pay here $263k

This role pays more than 54% of similar roles. Most pay $170,000–$245,250 — the shaded band above. At the midpoint, this role pays about $216k versus about $208k for comparable roles.

Based on 239 similar postings.

Employer

About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 266 open roles on FindRole.

Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.

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At a glance

TL;DR · Senior Product Solutions Architect, AI Agent

As a Senior Product Solutions Architect - AI Agent within the Product Solutions Architecture team, you will serve as a technical multiplier and subject matter expert for the AI Agent Observability product. You will partner with field teams to provide architectural guidance to enterprise customers while creating high-impact technical collateral, including reference architectures, cookbooks, and documentation. Your daily work involves building proofs of concept to validate solutions and providing actionable feedback to product management based on real-world experience. The role requires a strong software engineering foundation in distributed systems and core observability concepts like tracing, metrics, and logging. You will work with Python and JavaScript or TypeScript to address challenges in the AI Agent observability domain, including agentic workflows, LLM spans, evaluations, and prompt templates to improve performance and reliability for large-scale applications.

What you'll do

  • Serve as the primary subject matter expert for Datadog's LLM Observability product.
  • Provide technical and architectural guidance to enterprise customers during pre- and post-sales engagements.
  • Create high-impact technical collateral including reference architectures, guides, and documentation for field teams.
  • Build proofs of concept and small-scale deployments to validate solutions in real-world environments.
  • Deliver actionable feedback based on customer experiences to influence the product management roadmap.
  • Design and implement best practices for monitoring, troubleshooting, and optimizing LLM-powered applications.
  • Translate complex technical requirements into reusable, scalable solutions across different customer environments.

What we're looking for

  • Strong software engineering foundation with experience building and operating LLM-powered applications in production at scale.
  • Familiarity with distributed systems and core observability concepts like tracing, metrics, and logging.
  • Proficiency in programming languages such as Python and/or JavaScript/TypeScript.
  • Ability to create technical collateral including reference architectures, guides, and documentation.
  • Experience working in rapidly evolving and ambiguous technical domains.
  • Strong consultative skills for supporting customers in high-pressure, complex situations.
  • Bonus: 5+ years of experience as a Solutions Architect or Sales Engineer in the AI space.
  • Bonus: Experience using Datadog or other observability tools in an SRE or DevOps capacity.

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