San Francisco

Technical Program Manager, Global Infrastructure Planning

USD 207K–285K / yearHybridSeniorSoftware engineering (general)

AWSGCPAzureDemand planningProcurement

Original posting ↗Apply ↗Company job board ↗

Technical Program Manager, Global Infrastructure Planning is an open role at OpenAI, a software company in AI and data. It is a hybrid position in San Francisco, United States. We classify it as a senior-level role in software engineering (general). Technologies named in the posting: AWS, GCP and Azure. Candidates need 5+ years of experience. The posting mentions relocation support. There are 214 open positions from OpenAI on this site, 62 of them in IT and engineering.

Posted today · Last checked 2026-11-05

About OpenAI

AI and data Software product company 214 open positions, 29% in IT and engineering. Most open roles: Software engineering (general) (27), Data and machine learning (23), Marketing and communications (23).

All open jobs at OpenAI →

Similar jobs

Billing EngineerTailscale · Remote (United States)USD 143K–179K / year Technology Leaders: 30-Minute Survey on ERP Software EvaluationTerac · United StatesRemote Staff Engineer - Mobile Payments & Terminal ExperiencesAdyen · ChicagoUSD 235K–317K / year Operations Engineer, Starship Production (Starbase)SpaceX · Starbase, TX Software Engineer, Fleet SystemsHumble Robotics · San FranciscoOn-site AI Developer Relations Engineer Felix · San Francisco, United StatesUSD 193K–213K / year Director of Engineering, Advertiser ExperienceFetch · United States - RemoteRemote Software Engineer, Telemetry - Top Secret Clearance (Starlink)SpaceX · Washington, DCUSD 135K–160K / year

4,710 open software engineering (general) jobs in the United States All open jobs at OpenAI →

Workplace	Hybrid
Seniority	Senior
Role	Software engineering (general)
Countries	United States
Employment type	FullTime
Key facts	Stack: AWS, GCP, Azure · Experience: 5+ years · Relocation support

The full description is on the original posting. Labels are set automatically and can be wrong. About the data