FinOps & Capacity Operations (Model Studio)

Location: Singapore, SG or Penang, Malaysia

Company

hirify.global is a technology company providing Bitcoin mining solutions, ASIC hardware, datacenter infrastructure, and AI cloud capabilities.

What you will do

• Build and maintain trackers and dashboards for GPU allocation, utilization, and cost-per-token economics across models and customers.
• Run pricing, discount, promotion, tiering, and volume-commitment analyses to assess margin impact.
• Maintain sourcing and vendor comparison frameworks for compute providers with Finance and Infrastructure Engineering.
• Reconcile contracted, provisioned, and utilized capacity, identify gaps, and support allocation decisions.
• Prepare data-backed recommendations and materials for leadership reviews.
• Design process improvements and workflows that streamline recurring analysis and reduce manual work.

Requirements

• 3+ years of experience in FinOps, business operations, management consulting, strategy, or a similarly analytical role.
• Strong quantitative skills and the ability to build analyses from scratch.
• Proficiency in Excel or Google Sheets; familiarity with SQL or data visualization tools.
• Ability to independently collect data, generate insights, learn new domains quickly, and manage multiple workstreams.
• Clear communication skills for presenting data and comparisons to technical and non-technical audiences.
• Ability to work in Singapore or Penang, Malaysia.

Nice to have

• Experience with GPU or compute procurement, cloud infrastructure economics, or usage-based pricing and billing.
• Vendor or supplier relationship management for compute or datacenter hardware.
• Experience in a high-growth startup or AI infrastructure company.
• Interest in power markets, energy procurement, or hardware supply chains.
• Comfort using AI productivity tools.

Culture & Benefits

• Inclusive environment valuing authenticity and diverse perspectives.
• Startup-oriented environment with opportunities to contribute directly to new projects and systems.
• Autonomy, personal accountability, fast growth, and learning opportunities.
• Training, mentoring, welfare benefits, and developmental opportunities.
• Opportunity to contribute to the digital asset and AI infrastructure industries.