Senior Product Solutions Architect - AI Agent

DataDog
Boston, New York, San Francisco
Workplace: HybridFull timeUSD 151,500 - 222,000 annuallyFunction: Solutions Engineering & Sales EngineeringSkills: ["Listening","Consultative","Communication","Problem-solving"]

Technical product architect role focused on the LLM Observability product at Datadog. You’ll act as an in-house expert, design architectures with field teams, produce reusable collateral, build proofs of concept, and provide actionable feedback to product management to drive adoption and customer success in enterprise environments.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
DataDog
DataDog
6 months ago

Senior Product Solutions Architect - AI Agent

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Technical product architect role focused on the LLM Observability product at Datadog. You’ll act as an in-house expert, design architectures with field teams, produce reusable collateral, build proofs of concept, and provide actionable feedback to product management to drive adoption and customer success in enterprise environments.
Location: Boston, New York, San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering

Key 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.
Travel: High travel

Pay and Benefits

Salary: USD 151,500 - 222,000 annually
Equity and Bonus:Equity
Perks:EquityLearning BudgetRemote Work

Key Requirements

  • •Strong software engineering foundation with hands-on experience building and operating LLM-powered applications in production
  • •Familiar with distributed systems, observability concepts (tracing, metrics, logging), and translating patterns to LLM observability (LLM spans, evaluations, prompt templates)
  • •Experience with Python and/or JavaScript/TypeScript
  • •Comfortable operating in rapidly evolving, ambiguous technical domains
  • •Ability to sit for up to 4 hours and travel up to 40% of the time
Experience:LLMObservabilityAI/ML
Skills:ListeningConsultativeCommunicationProblem-solving
Languages:English
Tech Stack:PythonJavaScriptTypeScriptLLMObservability

Company Brief

DataDog
Provides a cloud-native monitoring and observability platform that unifies metrics, traces, logs, and security signals to help engineering, operations, and security teams monitor and troubleshoot modern applications and infrastructure.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: New York, United States
Founded: 2010
Glassdoor
Glassdoor: 4.1
WebsiteLinkedIn