Director, Financial Systems

What You'll do:

• Global Cloud Governance: Lead the centralized FinOps strategy across an international multi-cloud footprint, focusing heavily on GCP and AWS optimization.
• Unit Economics Modeling: Design and maintain sophisticated cost-allocation frameworks for all shared cloud resources, translating complex multi-tenant consumption into transparent, actionable product margins
• AI Economic Stewardship: Manage the financial impact of our AI roadmap. You will oversee current model consumption costs and build the fiscal framework for our transition into building and training custom models.
• Forecasting & Tooling Ownership: End-to-end management of cloud budgets and third-party hosting licenses, leveraging variance analysis and capacity planning to translate dynamic engineering metrics into predictable, accurate financial forecasts
• International Vendor Management: Act as the primary lead for global vendor relationships. You will drive enterprise negotiations, contract renewals, and strategic partnerships to maximize value across different international regions.
• Strategic Reporting: Partner with Finance and Engineering leadership to provide “Cloud TCO” visibility, leveraging both industry-standard platforms and custom in-house tooling.
• Team Leadership: Lead the development of the FinOps team, mentoring and fostering their technical growth and career progression.

What you bring:

• Experience: 5+ years in technology operations, procurement, or cloud finance, with at least 2–3 years of experience in a formal people management or leadership role.
• FinOps Culture & Change Management: Demonstrated ability to bridge the gap between Finance, DevOps/SRE, R&D and Product teams, fostering a cost-conscious engineering culture without bottlenecking innovation or deployment speed.
• Multi-Cloud Mastery: Proven experience with production-grade environments in GCP and AWS, including deep knowledge of billing, commitment models, and discount structures.
• Cloud Architecture & Financial Governance: Deep technical expertise across modern cloud ecosystems, including Kubernetes resource management, serverless compute, storage lifecycle tiering, and managed databases with a proven ability to translate complex architectural configurations into optimized unit economics.