Capacity Analytics Engineer — AI Compute & Deployment

Fluidstack; San Francisco (CA); On-site; USD 143,000 - 173,000; Full time

Job summary

Fluidstack is seeking a data-driven professional to optimize capacity planning for its AI frontier infrastructure. You will build and maintain models in SQL and Python to forecast capacity across power, space, cooling, and compute, and translate findings into actionable guidance for leadership.

The role emphasizes data quality, rapid analysis, and clear executive-ready storytelling to influence scheduling and procurement decisions in a fast-paced environment.

Qualifications

• Experience analyzing capacity, utilization, or demand for large infrastructure resources such as data centers or cloud platforms.
• Ability to build data models in SQL and Python used by others.
• Ability to translate analysis into a concise, actionable executive summary.
• Proactive in identifying data quality issues and tracing them to source.

Responsibilities

• Model capacity across the fleet (power, space, cooling, compute) to inform allocation decisions.
• Track capacity consumption against plan and flag constraints early.
• Create reporting that links deployment schedules to sellable capacity for leadership.
• Run scenario analyses for deals and allocation decisions.

Skills

Capacity analysis

SQL

Python

Executive storytelling

Data quality

Tools

Tableau

Looker

Hex

Job description

Fluidstack is seeking a data-driven professional to optimize capacity planning for its AI frontier infrastructure. You will build and maintain models in SQL and Python to forecast capacity across power, space, cooling, and compute, and translate findings into actionable guidance for leadership.

The role emphasizes data quality, rapid analysis, and clear executive-ready storytelling to influence scheduling and procurement decisions in a fast-paced environment.