Product Solutions Architect - FinOps
Datadog· Product Solutions Architecture (PSA)
Boston, MA, Denver, CO, New York, NY, San Francisco, CA$152k - $202kFull-timePosted 1w ago
About the role
Technical multiplier role partnering with Field teams to design and enable Cloud Cost Management (CCM) solutions for enterprise customers, influencing product roadmaps and driving CCM adoption across customer environments.
Responsibilities
- 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, cloud service cost models, and performance-vs-cost trade-offs across cloud environments
- Guide customers on tokenomics and AI cost attribution across providers, mapping API keys, models, and usage to teams 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 for CCM adoption, including tagging and cost allocation strategies, showback/chargeback models, and cost reporting
- Create high-impact technical collateral (reference architectures, technical guides, blog articles, documentation) on topics like cloud billing data onboarding, Kubernetes cost attribution, token usage, unit economics, and rightsizing
- Act as a trusted advisor to Product Management by delivering feedback to shape roadmap for cost allocation, multi-cloud visibility, token usage, optimization workflows, and FinOps integrations
Qualifications
- Strong engineering foundation with hands-on experience managing, allocating, or optimizing cloud spend, or building FinOps programs at scale
- Familiarity with cloud infrastructure and observability concepts (tracing, metrics, logging); knowledge of compute, storage, networking, and containers (including Kubernetes)
- Deep understanding of cost models, performance characteristics, and capacity planning across cloud services
- Experience with Python and/or SQL; ability to query and model large billing datasets, tagging strategies, and infrastructure-as-code
- Comfort operating in rapidly evolving, ambiguous technical domains
- Ability to translate cross-team context into reusable, scalable solutions
- Ownership mindset from problem definition to implemented outcomes
- Detail-oriented, especially for architectures and customer-facing assets
- Strong listening and consultative skills across engineering, FinOps, and finance stakeholders; adept in high-stakes situations
- Demonstrated ability to utilize AI tooling and scale it
- Ability to sit up to 4 hours and travel to client sites
- Ability to travel up to 40% (auto, train, or air)
Skills
Required:Cloud cost managementCloud provider cost modelsProgramming/QueryingTagging and cost allocation
Benefits
- Best-in-breed onboarding
- Generous global benefits
- Mentor and buddy program
- RSUs and ESPP
- Continuous professional development and training
- Inclusive culture with Community Guilds and Inclusion Talks
Last updated Oct 22, 2026. Interested? Apply on the company site.
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