OpenAI jobs

Enterprise Application Data Architect, GTM Systems at OpenAI, San Francisco with hybrid flexibility (3 days/week in office) and remote-work option. Defines and improves data architecture for GTM systems and Salesforce CRM across lead-to-support lifecycle. Owns data models, system-of-record definitions, integrations, data quality initiatives, deduplication, identity resolution, and governance. Requires strong technical expertise in enterprise data architecture and hands-on CRM improvement experience. Salary $260K–$288K; relocation assistance offered.

System Performance Engineer role at OpenAI's Consumer Devices team focused on embedded systems performance profiling, benchmarking, optimization, and reliability monitoring across hardware and software. Based in San Francisco with hybrid 4-days-in-office model. Requires deep expertise in embedded systems, C/C++/Python/Rust, and OS fundamentals; compensation $293k–$325k.

OpenAI's ChatGPT Finances Full Stack Engineer builds financial account connectivity, dashboards, and conversational AI experiences end-to-end (frontend, APIs, data models, integrations). Compensation $293k–$325k base; based in San Francisco with implied on-site/hybrid expectations. Requires shipping consumer products, full-stack depth, and product craftsmanship.

This Salesforce Ads Systems Engineer role at OpenAI's Enterprise Platform team focuses on building Salesforce technical infrastructure for the ads GTM business, including account/opportunity objects, integrations with billing and data tools, and Apex development. Based in San Francisco with remote flexibility, offering $260K–$288K, the role emphasizes software engineering skills (Apex, async patterns, APIs) and technical system design rather than revenue operations strategy and business process ownership.

Program Manager role on OpenAI's Foundations Data and Operations team responsible for acquiring training data and managing data acquisition programs. Key responsibilities include leading vendor/partner engagements, translating research objectives into operational plans, establishing data quality metrics, and identifying gaps in the data ecosystem. Requires 8+ years in operations, strategy, VC/PE, or consulting with proven ability to lead large ambiguous problems and executive influence. Offers $162K–$240K, hybrid/flexible San Francisco base with potential US travel.