Product Solutions Architect - FinOps

Datadog • Boston, MA

13d • $152,000 - $202,000 • Hybrid

About The Position

Datadog’s Product Solutions Architecture team acts as a technical multiplier across the company. Product Solutions Architects are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements, create reusable technical collateral, and share real-world customer insights with Product teams to influence roadmaps and accelerate adoption and customer success.

As a Product Solutions Architect focused on Cloud Cost Management (CCM), you will partner with Datadog customers and the CCM product team to design use cases, implement best practices, and drive adoption across customer environments. The role covers infrastructure and container cost allocation, cloud and token usage, budgets, and optimization recommendations. You will provide customer-facing architectural guidance, advise on cost allocation and FinOps practices, create technical resources for customers and Field teams, and inform product development with actionable feedback.

Datadog operates as a hybrid workplace, valuing office collaboration while supporting work-life harmony. The role requires the ability to sit for up to four hours and travel to client sites by auto, train, or air up to 40% of the time.

Requirements

• Strong engineering foundation and hands-on experience managing, allocating, or optimizing cloud spend, building FinOps programs, or developing internal cost tooling in production environments at large scale.
• Comfort diving into billing data and architectural trade-offs to understand cost drivers.
• Familiarity with cloud infrastructure and observability concepts such as tracing, metrics, and logging, and understanding of how compute, storage, networking, and container platforms including Kubernetes affect cloud bills.
• Deep understanding of cost models, performance characteristics, and capacity planning across cloud services and managed platforms.
• Experience with Python and/or SQL, and familiarity with querying and modeling large billing datasets, tagging strategies, and infrastructure-as-code.
• Comfort operating in rapidly evolving and ambiguous technical domains.
• Ability to build context across teams and translate it into reusable, scalable solutions.
• Ability to take ownership from problem definition through implementation and measurable outcomes.
• High attention to detail, particularly with architectures and customer-facing technical assets.
• Strong listening and consultative skills, with experience supporting engineering, FinOps, and finance stakeholders, including in high-stakes situations such as cost spikes, budget overruns, and commitment planning.
• Capability to use AI tooling and scale it.
• Ability to sit for up to four hours and travel to and from client sites.
• Ability to travel by auto, train, or air up to 40% of the time.

Nice To Haves

• Successful track record with 5+ years of experience as a Solutions Architect, Sales Engineer, or FinOps practitioner supporting cloud cost management, FinOps, or cloud financial optimization tools such as Cloudability, CloudHealth, Vantage, Kubecost, 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 with cloud cost accountability or internal cost reporting and automation.
• Familiarity with FinOps Foundation practices and commitment management such as Savings Plans, Reserved Instances, and committed use discounts.
• FinOps certification, such as FinOps Certified Practitioner.

Responsibilities

• Serve as the in-house subject matter expert for Datadog 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 optimization recommendations.
• Provide architectural guidance on capacity planning, cloud service cost models, and performance-versus-cost trade-offs across cloud environments.
• Guide customers on tokenomics and AI cost attribution across providers such as Anthropic, OpenAI, AWS Bedrock, Google Gemini, Vertex AI, and GitHub Copilot, including mapping API keys, models, and usage to teams and business units using Tag Pipelines.
• Help enterprise clients track real-time AI spending changes, configure cost anomaly monitoring, and connect token usage to business outcomes and unit economics.
• Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting CCM.
• Design customer tagging and cost allocation strategies, showback and chargeback models, and cost reporting that connects spend to services, teams, and business units.
• Create technical collateral such as reference architectures, technical guides, blog articles, and documentation on cloud billing data onboarding, Kubernetes cost attribution, token usage, unit economics, rightsizing, and commitment optimization.
• Provide Product Management with actionable feedback from field experience to help shape product roadmaps for cost allocation, multi-cloud cost visibility, token usage, optimization workflows, and FinOps integrations.

Benefits

• 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.
• Inclusive company culture with opportunities to join Community Guilds and Inclusion Talks.
• Competitive salary and equity package, potentially including variable compensation.
• Healthcare, dental, parental planning, and mental health benefits.
• 401(k) plan and match.
• Paid time off.
• Fitness reimbursements.
• Discounted employee stock purchase plan.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed