Job description

ABOUT THE TEAM OpenAI for Financial Services is part of OpenAI's Verticals organization, which focuses on accelerating the economy and knowledge work. We build AI products for financial institutions and the professionals who power them, from investment bankers and research analysts to investors and other financial services teams. We combine OpenAI's models, financial data, and enterprise knowledge to help professionals research companies, analyze markets, and produce high-quality work in the tools they use every day. We're a small, entrepreneurial team working closely with customers and partners across research, product, design, engineering, and go-to-market to bring new capabilities from idea to production. ABOUT THE ROLE We're looking for full-stack engineers to build new, AI-native products on top of ChatGPT Work and Codex. This is zero-to-one work: you'll help define how financial professionals research, analyze, and make decisions alongside AI. You'll own the experience across the stack, work directly with customers to understand their workflows, and collaborate across OpenAI to turn new model capabilities into products that professionals can trust. Your work will shape how some of the world's largest financial institutions adopt AI and how financial knowledge work gets done. IN THIS ROLE, YOU WILL: - Build a new financial services app within ChatGPT Work and Codex, creating intuitive AI-native experiences for company research, financial analysis, document review, and professional work products. - Develop new product experiences around enterprise memory that learn from an organization's knowledge, workflows, and context, and adapt to how its teams work. - Develop the APIs, services, and integrations required to connect user experiences with financial data providers, enterprise systems, and OpenAI's models. - Work closely with product and design to turn ambiguous customer problems into polished, useful, and reliable products. - Work directly with financial institutions to understand customer needs, unblock deployments, and turn feedback into meaningful product improvements. - Partner with research, security, infrastructure, and other engineering teams to take new capabilities from early prototype to scaled production. YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE: - 5+ years of professional software engineering experience, with a strong track record of building and shipping production software across the stack. - Expertise in TypeScript, React, and modern web technologies, along with strong experience building backend services in languages such as Python, Go, Rust, or TypeScript. - Experience designing and building complex product interfaces, APIs, and integrations that work together as a cohesive user experience. - Strong product instincts and the ability to move from an ambiguous customer problem to a practical, well-engineered solution. - Comfort working across the stack and organizational boundaries when that is what it takes to ship a great product. - A high bar for usability, reliability, security, and performance, particularly in enterprise or other high-trust environments. - Interest in AI and how model capabilities can be applied to complex professional work; direct AI/ML or financial services experience is helpful but not required. - Experience as a founder, an early engineer at a startup, or an engineer who has helped build a new product from scratch is a plus. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement cdn.openai.com. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form form.asana.com. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link form.asana.com. OpenAI Global Applicant Privacy Policy cdn.openai.com At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Requirements

Must-haves

We combine OpenAI's models, financial data, and enterprise knowledge to help professionals research companies, analyze markets, and produce high-quality work in the tools they use every day.
We're a small, entrepreneurial team working closely with customers and partners across research, product, design, engineering, and go-to-market to bring new capabilities from idea to production.
You'll own the experience across the stack, work directly with customers to understand their workflows, and collaborate across OpenAI to turn new model capabilities into products that professionals can trust.
Your work will shape how some of the world's largest financial institutions adopt AI and how financial knowledge work gets done.
Build a new financial services app within ChatGPT Work and Codex, creating intuitive AI-native experiences for company research, financial analysis, document review, and professional work products.
Develop new product experiences around enterprise memory that learn from an organization's knowledge, workflows, and context, and adapt to how its teams work.
Develop the APIs, services, and integrations required to connect user experiences with financial data providers, enterprise systems, and OpenAI's models.
Work closely with product and design to turn ambiguous customer problems into polished, useful, and reliable products.
Work directly with financial institutions to understand customer needs, unblock deployments, and turn feedback into meaningful product improvements.
Partner with research, security, infrastructure, and other engineering teams to take new capabilities from early prototype to scaled production.
YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE:
5+ years of professional software engineering experience, with a strong track record of building and shipping production software across the stack.
Expertise in TypeScript, React, and modern web technologies, along with strong experience building backend services in languages such as Python, Go, Rust, or TypeScript.
Experience designing and building complex product interfaces, APIs, and integrations that work together as a cohesive user experience.
Strong product instincts and the ability to move from an ambiguous customer problem to a practical, well-engineered solution.
Comfort working across the stack and organizational boundaries when that is what it takes to ship a great product.
A high bar for usability, reliability, security, and performance, particularly in enterprise or other high-trust environments.
Interest in AI and how model capabilities can be applied to complex professional work; direct AI/ML or financial services experience is helpful but not required.

Nice-to-haves

Experience as a founder, an early engineer at a startup, or an engineer who has helped build a new product from scratch is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aigotypescriptreactpythonrustml

Platform: ashby
Effort: quick