Senior Manager of Financial Cloud & AI Operations

Location: Mountain View, California; in-office attendance expected 3+ days per week

Salary: $154,000–$220,000 per year

Company

hirify.global provides an AI-powered analytics platform that helps enterprises turn data into insights and business decisions, serving more than 1,000 customers globally.

What you will do

• Build cloud, GPU, token, and AI financial forecasts, scenario models, budgets, and variance controls.
• Develop unified demand and capacity forecasts with Engineering for production inference, research, and product development.
• Model cloud commitments and optimize terms for reserved instances, Savings Plans, CUDs, PTUs, dedicated hosting, and token drawdowns.
• Build AI product unit economics and partner with Product and Pricing to protect gross-margin targets.
• Lead FinOps allocation standards, controls, reviews, efficiency KPIs, and savings accountability.
• Partner with Data Engineering and BI on multi-cloud datasets, allocation pipelines, anomaly detection, executive reporting, and recommendations to the CFO, CTO, and leadership.

Requirements

• 7+ years of financial modeling, driver-based forecasting, scenario analysis, and budgeting in an AI, SaaS, or technology company.
• 3+ years of cloud and AI economics experience, including cloud pricing and billing models, reserved versus on-demand capacity, commitments, and CUR exports.
• Strong analytical judgment with the ability to extract key variables from complex datasets and produce clear recommendations.
• Expert-level Excel, SQL, BI tools, FinOps tooling, and cloud cost analysis tools.
• Experience using or evaluating AI tools to improve forecasting or reporting, plus hands-on AI workflow integration and effective prompt writing.
• Experience working on a globally distributed team and communicating complex financial and technical topics through executive-ready deliverables.
• Bachelor’s degree in Finance, Economics, or a technical field.

Culture & Benefits

• Hybrid work with in-office attendance as the default for at least 3 days per week and flexibility when genuinely needed.
• Collaboration with Engineering, DevOps, Business Analytics, Financial Planning, Procurement, Product, and C-level executives.
• AI tools and training resources are provided, with AI fluency expected across all roles.
• Work in a diverse, data-driven environment focused on curiosity, trust, customer obsession, innovation, and critical thinking.