11 hours ago
Base Salary
$385k - $445k/yr
Responsibilities
- Define technical direction and roadmaps for infrastructure cost and efficiency systems, leading projects from problem definition through ongoing operation.
- Build billing, usage-metering, and cost-attribution systems connecting infrastructure spend to resources, workloads, services, and owning teams.
- Develop batch or streaming data pipelines and shared data models combining billing, inventory, and utilization data.
- Build budgeting, forecasting, capacity-planning, APIs, reporting tools, and automated controls for infrastructure management.
- Identify underutilized resources and partner with engineering teams to deliver and measure efficiency improvements.
- Provide technical leadership, mentor engineers, and own system correctness, scalability, and production behavior.
Requirements
- Over 7 years of experience designing, building, and operating production software and distributed systems.
- Experience with infrastructure efficiency, cloud cost attribution, usage metering, budgeting, forecasting, or capacity management.
- Hands-on ability across architecture, implementation, debugging, and operational improvements.
- Understanding of how compute, storage, and networking consumption translate into cost and affect utilization, performance, reliability, and growth.
- Strong focus on data correctness and experience building trustworthy systems from complex billing and operational data.
- Experience collaborating across engineering, finance, product, and leadership and driving adoption without relying on formal authority.
- Experience building internal platforms that provide visibility into cloud spend, resource utilization, and ownership.
- Experience with batch or streaming data pipelines, financial data platforms, or large-scale analytics systems.
- Experience with Kubernetes, public cloud infrastructure, or resource-management systems across cloud and on-premises environments.
- Experience automating resource allocation, cost-allocation policies, budget tracking, or capacity forecasting.
Benefits
- The role is based in San Francisco, California and is on-site.
- The role offers substantial autonomy and the opportunity to shape how OpenAI manages its infrastructure investment.
Tech Stack
Categories
BackendData Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.