Compute Analyst (AI)

Location: San Francisco, California; on-site in the Mission office. Transportation and relocation support are offered.

Salary: $226,000–$325,000 annual base salary, plus equity and benefits.

Company

hirify.global builds continual-learning infrastructure for enterprises to train proprietary-data models and deploy improving AI agents, combining product, research, and customer-facing applied AI work.

What you will do

• Build and own models for compute unit economics, including effective GPU-hour cost, training-run cost, served-token cost, utilization, and goodput.
• Track GPU pricing, availability, commercial terms, and hardware-generation tradeoffs across hyperscalers, neoclouds, regional operators, and emerging providers.
• Support negotiations through quote benchmarking, scenario analysis, term-sheet and contract comparisons, and deal memos.
• Translate training roadmaps, reinforcement-learning workloads, and inference growth into capacity forecasts with research and engineering.
• Monitor fleet commitments, reservation coverage, idle capacity, utilization, budgets, and margins across training and inference products.
• Build total-cost-of-ownership models and automate dashboards for sourcing decisions and real-time leadership reporting.

Requirements

• 2–5 years of experience in a highly analytical role such as investment banking, private equity, consulting, strategic finance, FP&A, or cloud/infrastructure analytics.
• Excellent financial modeling skills and native fluency in unit economics, margin structure, and scenario analysis.
• Strong technical skills with SQL and Python, including independently pulling and cleaning data.
• Curiosity about the AI compute market, including providers, accelerators, pricing dynamics, and market direction.
• Clear communication skills for explaining complex analysis to finance, engineering, and leadership.
• High ownership and a habit of identifying gaps and building solutions proactively.

Nice to have

• Experience with cloud cost management or FinOps, data centers, energy, or other capacity-constrained infrastructure markets.
• Familiarity with GPU performance concepts such as MFU, interconnect, cluster reliability, and their effect on effective cost.
• Exposure to reserved-capacity, take-or-pay, or other long-term commercial contract structures.
• Experience using LLMs, automation, and programmatic tools in an AI-native way of working.

Culture & Benefits

• Work from the San Francisco office in the Mission.
• Meaningful equity and competitive compensation.
• 100% employer-paid health insurance for the employee and family.
• Unlimited PTO, paid parental leave, daily lunches and dinners, and transportation support.
• 5% 401(k) match.
• Visa sponsorship is available, with support through the process for suitable candidates.