Business Intelligence Associate

Parasail•San Francisco, CA

About The Position

Parasail is redefining AI infrastructure by enabling seamless deployment across distributed GPU networks, optimizing for cost, performance, and flexibility. Our mission is to give AI developers a fast, cost-efficient, scalable cloud experience free from vendor lock-in. We build the company the same way we build the product. Parasail runs on agents, from kernel optimization through to how we answer questions about our own business, and this role sits close to the center of that. Every inference request we serve is a decision about hardware, cost, and performance. Making those decisions well, at scale, across a distributed GPU fleet, is a data problem before it is anything else. The intelligence layer behind those decisions is one of Parasail's real advantages, and it is what this role owns. Our internal analytics are agent-native. Teams ask the business questions directly and get real analysis in minutes, on data infrastructure designed so that people and agents query it the same way. It is a different way to run a company, and it is a large part of why a small team moves as fast as we do. You will own and expand that layer. You will design the data models behind fleet and unit economics, build the analytical capabilities the rest of the company runs on, and turn questions that used to take a week into answers that take a minute. Work you ship compounds, because it becomes something the entire team can use immediately. You will work through MCP connections and agentic tools every day. We expect you to be productive in that stack from week one.

Requirements

2 to 5 years in business intelligence, data analytics, analytics engineering, operations analytics, or a similar hands-on data role
Strong SQL, plus Python or a comparable language for data work
Daily proactive use of agentic AI tools with MCP connections to pull data from source systems
Real curiosity about how a business works underneath the metrics, and the drive to chase a number until you understand it completely
Technically literate enough to work directly with infrastructure and engineering teams and reason about what the systems are doing
Ability to explain what the data says, and how confident you are in it, to any audience
High ownership and strong instincts for what is worth measuring
Excited by a fast-moving startup where you get to define your own scope

Nice To Haves

Experience in operations, manufacturing, logistics, or another environment where asset utilization and yield drive the business
Cloud infrastructure, data center, GPU, or semiconductor exposure
Usage-based or consumption-based billing experience
Experience building internal tools, pipelines, or automation
Familiarity with dbt, warehouse modeling, or observability tooling

Responsibilities

Design and own the data models behind fleet economics, capacity, and utilization
Build the analytical capabilities and reporting the company makes decisions from, and expand what our internal agentic tooling can answer
Build and maintain the pipelines that bring infrastructure, usage, billing, and customer data into one coherent view
Develop dashboards and models connecting operational performance to revenue, margin, and capital efficiency
Build verification into the data layer so answers stay trustworthy as the product evolves quickly
Partner with infrastructure, finance, product, and go-to-market to anticipate what they need to know
Use agentic tooling to automate analysis and reporting, and raise the ceiling on what one person can cover

Benefits

Competitive base salary with meaningful equity
Comprehensive health, dental, and vision coverage
Generous PTO and company holidays
401(k) and family-planning benefits
High visibility with the executive team and direct exposure to how the business is run
The chance to build agentic data infrastructure that the entire company runs on

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