Greenhouse ·
full-timeProduct Solutions Architect - Finops
Datadog · Boston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA; San Francisco, California, USA
Datadog is a monitoring and security platform for cloud applications. As a Product Solutions Architect specializing in FinOps, you will serve as a technical expert for the company's Cloud Cost Management suite. Your day-to-day responsibilities involve partnering with enterprise customers to design cost allocation strategies, implement showback and chargeback models, and optimize cloud spend across AWS, Azure, and GCP. You will bridge the gap between field teams and product management by translating real-world customer feedback into product roadmaps while creating technical collateral such as reference architectures and guides. The role requires deep expertise in cloud infrastructure, Kubernetes, and container cost attribution, as well as the ability to analyze complex billing data. You will also guide clients on AI cost attribution and unit economics, helping them map token usage to business outcomes. This position is well-suited for candidates with a strong engineering background who have experience building FinOps programs or managing large-scale cloud cost optimization in production environments. Proficiency in Python and SQL is essential for navigating data and providing architectural guidance on performance versus cost trade-offs.
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, FinOps, 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. What You'll Do 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 GitHub 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 FinOps integrations Who You Are You bring a 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, 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) translate into cloud bills 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 You build deep context across teams and translate it into reusable, scalable solutions You take ownership from problem definition through implementation and measurable outcomes Highly detail-oriented, particularly when working on architectures and customer-facing technical assets You bring strong listening and consultative skills and are experienced supporting customers across engineering, FinOps, and finance stakeholders, including in high-stakes situations such as cost spikes, budget overruns, and commitment planning 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 Bonus Points Successful track record with 5+ years experience working as a Solutions Architect, Sales Engineer, or FinOps practitio
| Role | Product Solutions Architect - Finops |
|---|---|
| Company | Datadog |
| Location | Boston, Massachusetts, USA; Denver, Colorado, USA; New York, New York, USA; San Francisco, California, USA |
| Type | full-time |
| Compensation | Not disclosed |
| Posted | 2026-10-09 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4About Datadog
Datadog provides a modern monitoring and security platform designed for developers, IT operations teams, and business users operating in the cloud. The company's platform offers a wide range of capabilities, including infrastructure, network, container, and serverless monitoring, as well as application performance monitoring, log management, and cloud security. These tools are utilized by organizations across various industries, such as financial services, healthcare, retail, and technology, to enable digital transformation and drive collaboration across teams. Datadog employs over 8,100 people globally and continues to expand its presence to support customers across diverse markets and regions.
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