Full Stack Software Engineer - Codex for Finance

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.