{"id":2187764,"url":"https://alion.io/job/datadog-product-solutions-architect-finops","title":"Product Solutions Architect - FinOps","company":{"id":4992,"name":"Datadog","domain":"datadoghq.com","url":"https://alion.io/company/datadog","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":169,"ghost_share":0,"stale_share":0.544,"repost_share":0,"time_to_fill_p50_days":83,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States","New York, United States","San Francisco, United States","Denver, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":152000,"max":202000,"currency":"USD","period":"year","gross":null,"usd_annual":202000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Datadog","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tokenomics","optional":false},{"name":"Vertex AI","optional":false},{"name":"Platform Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-08T14:52:17Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-14T10:29:48Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"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.\nDatadog'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.\nAt 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.\nWhat You'll Do\nServe 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\nProvide architectural guidance on capacity planning, comparing cloud service cost models, and balancing performance vs. cost trade-offs across different cloud environments\nGuide 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.\nHelp 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).\nPartner 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\nCreate 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\nAct 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\nWho You Are\nYou 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\nYou 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\nDeep understanding of cost models, performance characteristics, and capacity planning across various cloud services and managed platforms\nExperience with languages such as Python and/or SQL, and familiarity with querying and modeling large billing datasets, tagging strategies, and infrastructure-as-code\nComfortable operating in rapidly evolving, ambiguous technical domains\nYou build deep context across teams and translate it into reusable, scalable solutions\nYou take ownership from problem definition through implementation and measurable outcomes\nHighly detail-oriented, particularly when working on architectures and customer-facing technical assets\nYou 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\nDemonstrates capability of utilizing AI tooling and scaling it \nAble to sit up to 4 hours, traveling to and from client sites\nAble to travel via auto, train, or air up to 40% of the time\nBonus Points\nSuccessful 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)\nExperience 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\nFamiliarity with FinOps Foundation practices, and with commitment management such as Savings Plans, Reserved Instances, and committed use discounts\nFinOps certification (e.g., FinOps Certified Practitioner) is a plus\nDatadog 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.\nBenefits and Growth\nBest-in-breed onboarding\nGenerous global benefits\nIntra-departmental mentor and buddy program for in-house networking\nNew hire stock equity (RSUs) and employee stock purchase plan (ESPP)\nContinuous professional development, product training, and career pathing\nAn inclusive company culture, able to join our Community Guilds and Inclusion Talks\nDatadog 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.\nThe reasonably estimated yearly salary for this role at Datadog is:\n$152,000—$202,000 USD\nAbout Datadog: \nDatadog 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.\nEqual Opportunity at Datadog:\nDatadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. \nDatadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. \nPrivacy and AI Guidelines:\nAny information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. 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