Product Solutions Architect - FinOps

What You'll Do

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
• 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 (e.g., Cloudability, CloudHealth, Vantage, Kubecost, native AWS Cost Explorer, Azure Cost Management, or GCP Billing)
• Experience using Datadog and/or other observability tools in an SRE, DevOps, or platform engineering capacity, particularly owning cloud cost accountability or building internal cost reporting and automation
• Familiarity with FinOps Foundation practices, and with commitment management such as Savings Plans, Reserved Instances, and committed use discounts
• Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your skills, we encourage you to apply.
• Benefits and Growth
• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks
• Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.
• The reasonably estimated yearly salary for this role at Datadog is:$152,000—$202,000 USD

Bonus Points

Benefits and Growth

About Datadog:

Preferred Qualifications

• Bonus Points
• FinOps certification (e.g., FinOps Certified Practitioner) is a plus

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, 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