Product Solutions Architect - FinOps

Boston · Denver · New York · San Francisco · USD 152,000-202,000 / year · 5+ years experience · Full-time · Hybrid · Posted Oct 8, 2026

At a glance

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog, partnering with Field teams on complex customer use cases.
As a Product Solutions Architect specializing in FinOps, you will partner closely with customers and the Cloud Cost Management product team to design product use cases, implement best practices, and drive adoption.

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, 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.
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.
Create high-impact technical collateral, including reference architectures, technical guides, blog articles, and documentation to enable Field teams and the broader customer community.
Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience to help shape the product roadmap.

Strong engineering foundation, with hands-on experience managing, allocating, or optimizing cloud spend, or building FinOps programs and internal cost tooling in production environments at a large scale.
Familiarity with cloud infrastructure and core observability concepts, such as tracing, metrics, and logging.
Deep understanding of cost models, performance characteristics, and capacity planning across various cloud services and managed platforms.
Experience with languages such as Python and/or SQL, and familiarity with querying and modeling large billing datasets, tagging strategies, and infrastructure-as-code.
Comfortable operating in rapidly evolving, ambiguous technical domains.
Strong listening and consultative skills with experience supporting customers across engineering, FinOps, and finance stakeholders.
Demonstrates capability of utilizing AI tooling and scaling it.
Able to sit up to 4 hours, traveling to and from client sites.
Able to travel via auto, train, or air up to 40% of the time.

Successful track record with 5+ years experience working as a Solutions Architect, Sales Engineer, or FinOps practitioner supporting cloud cost management, FinOps, or cloud financial optimization tools.
Experience using Datadog and/or other observability tools in an SRE, DevOps, or platform engineering capacity.
Familiarity with FinOps Foundation practices, and with commitment management such as Savings Plans, Reserved Instances, and committed use discounts.
FinOps certification (e.g., FinOps Certified Practitioner) is a plus.