Product Solutions Architect - LLM Observability
Datadog · Boston, MA | Denver, CO | New York City, NY | San Francisco, CA · Product Solutions Architecture
About this role
Datadog is hiring a mid-level Solutions Architect in the software engineering function based in Boston, MA | Denver, CO | New York City, NY | San Francisco, CA. The posting calls out experience with Python, JavaScript, TypeScript, LLMs. Compensation is listed at $151,500–$222,000 per year.
- Role
- Solutions Architect
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- Boston, MA | Denver, CO | New York City, NY | San Francisco, CA
- Department
- Product Solutions Architecture
More roles at Datadog
Job description
from Datadog careersThe 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.
At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
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