The opportunity
The Infranomics team builds the software and data foundations that help OpenAI understand, plan, and improve the economics of its infrastructure. The team works across engineering and finance to make infrastructure spend visible, allocate capacity effectively, and improve efficiency as our products grow.
What you'll do
Define the technical direction and roadmap for infrastructure cost and: efficiency systems, and lead projects from problem definition through implementation, adoption, and ongoing operation.
Build billing, usage metering, and cost attribution systems that connect: infrastructure spend to resources, workloads, services, and the teams that own them.
Develop data pipelines and shared data models that combine cloud billing,: resource inventory, and utilization signals into a dependable view of cost and capacity.
Build tools for budgeting, forecasting, and capacity planning that help teams: anticipate demand, allocate resources, and inform procurement decisions.
Identify underutilized resources and other sources of waste, then partner: with engineering teams to deliver and measure improvements while preserving performance and reliability.
Create APIs, reporting tools, and automated controls that help teams: understand their consumption, manage budgets, and make informed infrastructure tradeoffs.
What they're looking for
- Provide technical leadership across teams, mentor engineers, and own the: correctness, scalability, and production behavior of the systems you build.
- Have over 7 years of experience designing, building, and operating production: software and distributed systems, with technical ownership across multiple teams or a significant infrastructure domain.
- Have built systems for infrastructure efficiency, cloud cost attribution,: usage metering, budgeting, forecasting, or capacity management, and can connect that work to measurable outcomes.
- Remain a hands-on engineer who can move between architecture, implementation,: debugging, and operational improvements.
