Senior Product Solutions Architect; Cloud Cost Management

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 Cloud Cost Management (CCM) suite helps Platform, Application Teams, Operations, Fin Ops, and Finance teams understand, allocate, and reduce cloud spend by putting cost data next to the observability data that explains it. As a Product Solutions Architect, you will partner closely with Datadog customers and the Cloud Cost Management product team to design product use cases, implement best practices, and drive adoption of CCM across customer environments.

This includes infrastructure cost allocation, cloud costs, token usage, container costs, budgets, and optimization recommendations. 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.

• Serve as the in-house subject matter expert for Datadog's Cloud Cost Management products, including cost visibility across AWS, Azure, and GCP, Kubernetes and container cost allocation, custom and SaaS cost ingestion, budgets, anomaly detection, and cost optimization recommendations
• Provide architectural guidance on capacity planning, comparing cloud service cost models, and balancing performance vs. cost trade-offs across different cloud environments
• Guide customers on tokenomics and AI cost attribution across providers (Anthropic, OpenAI, AWS Bedrock, Google Gemini, Vertex AI, and Git Hub Copilot), helping teams map API keys, models, and usage to teams and business units using Tag Pipelines.
• Help enterprise clients track real-time AI spend changes, set up cost anomaly monitoring, and connect token usage back to business outcomes and unit economics (such as cost per user or cost per ticket).
• Partner with Field teams to provide hands‑on technical and architectural guidance to enterprise customers adopting CCM, including designing tagging and cost allocation strategies, showback and chargeback models, and cost reporting that connects spend to services, teams, and business units
• Create high‑impact technical collateral, including reference architectures, technical guides, blog articles, and documentation to enable Field teams and the broader customer community, covering topics like cloud billing data onboarding (AWS, Azure, GCP billing), Kubernetes cost attribution, token usage, unit economics, and rightsizing and commitment optimization
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real‑world field experience, helping shape the roadmap for cost allocation, multi‑cloud cost visibility, token usage, optimization workflows, and Fin Ops integrations

• You bring a strong engineering foundation, with hands‑on experience managing, allocating, or optimizing cloud spend, or building Fin Ops programs and internal cost tooling in production environments at a large scale, and are comfortable diving deep into billing data and architectural tradeoffs to understand what drives cost
• You are familiar with cloud infrastructure and core observability concepts, such as tracing, metrics, and logging, and understand how compute, storage, networking, and container platforms (including Kubernetes)…