How to apply for Infrastructure Operations & Sustainability Lead

About OpenAI

OpenAI is a frontier AI research and product company with teams working on alignment, policy, and security. It posts specific high-impact opportunities and does not necessarily recommend working at other positions there. The career review notes concerns about doing harm by working at a frontier AI company, so candidates should read that before applying.

About the role

This role leads sustainability strategy for OpenAI's global infrastructure portfolio inside the Industrial Compute organization. You translate environmental priorities and external commitments into operating requirements across site selection, data center design, construction, equipment procurement, deployment, and ongoing operations. You build frameworks, metrics, governance, and cross-functional programs that improve environmental performance while preserving speed, reliability, and scalability.

A typical day

The job post does not describe a typical day. Expect to ask in interviews how the team splits time across strategy, cross-functional program work, and hands-on infrastructure decisions. You can also ask which partners you would work with most often and how success is measured in the first year.

Who OpenAI is looking for

• Has run sustainability or environmental performance programs for large infrastructure portfolios, ideally data centers, power, construction, or industrial operations.
• Can turn external commitments and environmental priorities into concrete operating requirements, metrics, and governance that engineering and operations teams can adopt.
• Works across many functions, including infrastructure operations, site development, engineering, construction, power, hardware, supply chain, finance, legal, public policy, government affairs, and communications.
• Is comfortable operating at senior level in a fast-moving environment where sustainability must be built into decisions from the beginning, not added later.

Tips for this application

• Read the 80,000 Hours career review on working at an AI lab before applying, since OpenAI links it in the job post and expects candidates to have considered the tradeoffs.
• Tailor your materials to infrastructure operations and sustainability, not general ESG or corporate sustainability. Name specific stages: site selection, data center design, construction, equipment procurement, deployment, and operations.
• Show how you have built frameworks, metrics, and governance that other teams adopted, because the role is about embedding sustainability into existing infrastructure decisions.
• Reference the cross-functional partners listed in the post, such as power, hardware, supply chain, legal, public policy, and external infrastructure partners, and give examples of working with similar groups.
• Avoid generic climate language. Focus on operational reliability, speed, and scalability alongside environmental performance, since the role must preserve those.

What to cover in your cover letter

Explain why you want to work on infrastructure sustainability at a frontier AI company, including how you think about the concerns raised in OpenAI's own career review. Describe a time you translated an environmental commitment into operating requirements across engineering, construction, or operations. Show how you built metrics and governance that survived contact with fast growth and reliability demands. Name the cross-functional groups you have partnered with, such as power, supply chain, finance, legal, or external infrastructure partners.

Research before applying

• Read OpenAI's 80,000 Hours career review and be ready to discuss the concerns it raises about working at a frontier AI lab.
• Study OpenAI's public statements and commitments on infrastructure, compute, and environmental impact, and note where they are specific and where they are not.
• Learn the basics of data center development, power procurement, and construction timelines so you can speak concretely about where sustainability fits.
• Identify OpenAI's external infrastructure partners and any public reporting on its compute buildout, since the role works with external partners and across the Industrial Compute organization.

Likely interview topics

Based on the job description, expect questions about:

• How would you embed sustainability requirements into site selection and data center design without slowing deployment?
• Describe a framework or metric you built for environmental performance across a large infrastructure portfolio. How did you get operations teams to use it?
• How do you work with power, hardware, and supply chain teams when sustainability goals conflict with cost or reliability?
• How would you report progress against external commitments to public policy, government affairs, and communications teams?
• What is your view on the role of a frontier AI company in responsible infrastructure development, given the concerns in OpenAI's career review?

Common mistakes to avoid

• Treating this as a standard corporate ESG or reporting role. The post is about operating requirements across design, construction, procurement, deployment, and operations.
• Ignoring the concerns OpenAI itself links about working at a frontier AI company. Not addressing them can look like you have not read the post carefully.
• Focusing only on environmental goals without showing how you protect speed, reliability, and scalability, which the role explicitly requires.