The Challenge

The SaaS FinOps Leaderis responsible forestablishingand operating the company’s cloudfinancial managementdiscipline across Azure cloud infrastructure, AI token usage, and cloud cost optimization initiatives. This role partners with Engineering, Product, Finance, Procurement, Security, and Operations to ensure cloud and AI spend is governed,optimized, and aligned to business value.

Your Mission

Cloud Cost Governance and Financial Management

• Own the company’sAzure cloud cost management strategy, including forecasting, budgeting, spend tracking, and variance analysis.

• Establish cloud cost governance practices across subscriptions, resource groups, environments, products, teams, and customer segments.

• Partner with Finance to createaccuratemonthly, quarterly, and annual cloud spend forecasts.

• Define andmaintaincloud cost allocation models, including tagging standards, chargeback/showback, and product-level cost attribution.

• Produce executive-levelreportson cloud spend trends, risks, saving opportunities, and cost-to-serve performance.

• Partner with Procurement and Finance on Azure commercial agreements, reserved capacity, committed-use discounts, marketplace purchases, and vendor negotiations.

• Lead initiatives to reduce waste and improve Azure cost efficiency acrosscompute, storage, databases, networking, observability, backup, disaster recovery, and development environments.

• Identifyand drive optimization opportunities such as:

• Right-sizingunderutilized resources.

• Eliminatingidle ororphaned infrastructure.

• Improving autoscaling and workload scheduling.

• Increasing use of reservations, savings plans, and spot capacity whereappropriate.

• Rationalizing non-production environments.

• Partner with Engineering and Architecture to embed cost optimization into platform design, service design, and deployment practices.

• Establishcostguardrails for new services, environments, and major architecture changes.

• Drive accountability for cost efficiency without compromising reliability, security, scalability, or customer experience.

• Own financial governance forAI model usage, including token consumption, model selection, usage monitoring, budgeting, and optimization.

• Create visibility into AI-spend across teams, use cases, tools, models, environments, and products.

• Partner with Engineering, Product, and R&D Operations to define AI usage policies and cost controls.

• Identifyopportunities tooptimizeAI costs through:

• Model routing and model tiering

• Prompt optimization

• Caching and reuse

• Batch processing

• Rate limits and quotas

• Usage-based budgets

• Guardrails for experimentation versus production workloads

• Establish KPIs for AI cost efficiency, such as cost per workflow, cost per customer interaction, cost per engineering task, cost per generated artifact, or cost per automated transaction.

• Articulatebusiness cases for AI investments by connecting token spend to productivity, product value, customer adoption, or operational leverage.

You Are

• 5+ years of experience withmulti-tenant SaaS platformsand product-level cloud cost attribution.

• Experience with Microsoft Azure cloud services

• Experience with FinOps platforms such asCloudZeroor similar tools.
• Experience supporting enterprise SaaS gross margin improvement initiatives.