Why This Job is Featured on The SaaS Jobs
This role stands out in the SaaS ecosystem because it sits where consumer-grade product engineering meets AI-native functionality. The remit spans multimodal interfaces, personalization, and commerce-adjacent discovery, reflecting a category of SaaS products that behave less like traditional dashboards and more like continuously evolving assistants. The emphasis on shipping and iterating on experiences used at large scale signals work shaped by real user behavior, not purely internal tooling.
For a SaaS career, the durable value here is learning how to build and operate product surfaces that depend on tight feedback loops between UX, backend services, and model-driven workflows. Experience with experimentation, product metrics, and end-to-end delivery translates well across modern SaaS teams, especially those integrating recommendations, search, and personalization into core journeys. The cross-functional proximity to design, research, and product also builds the collaboration patterns common in high-impact SaaS engineering roles.
This position fits engineers who prefer owning outcomes across the stack and who are comfortable moving between prototyping and production constraints. It will suit those motivated by ambiguous product spaces where interface decisions and system design evolve together, and by SaaS environments where iteration cadence is closely tied to user feedback and measurable behavior.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
ChatGPT is evolving from answering questions to becoming a deeply personalized assistant that helps people discover, create, and make decisions across everyday life. We're building new multimodal product experiences that combine language, images, personalization, and interactive interfaces to help millions of users accomplish tasks in entirely new ways.
This team sits at the intersection of AI research, product engineering, design, and consumer experiences. We move quickly, ship frequently, and work on products that define how people interact with AI every day.
About the Role
We're looking for exceptional full stack product engineers who love building polished consumer experiences from the ground up.
You'll work across frontend, backend, AI-powered workflows, and rich interactive interfaces to create new product experiences that blend conversation, visual understanding, personalization, and commerce. You'll collaborate closely with designers, researchers, product managers, and model teams to rapidly prototype, launch, and iterate on experiences used by millions of people.
This is an opportunity to help invent entirely new interaction paradigms—not just build traditional web applications.
In This Role, You Will
Design and build end-to-end product experiences across web services, APIs, and modern frontend applications.
Partner closely with product, design, and research to rapidly prototype and launch new AI-native experiences.
Build intuitive, performant interfaces that make advanced AI capabilities feel simple and delightful.
Develop scalable backend systems that power personalized, real-time product experiences.
Work with multimodal capabilities including text, images, and interactive UI components.
Iterate quickly using user feedback, experimentation, and product metrics.
Help define engineering standards, architecture, and technical direction for a fast-growing product area.
You Might Thrive If You
Have significant experience building consumer-facing products end to end.
Are comfortable moving across frontend, backend, infrastructure, and product architecture.
Care deeply about craft, user experience, and product quality.
Enjoy ambiguity and are energized by taking ideas from zero to one.
Think like both an engineer and a product builder.
Have strong systems thinking while maintaining exceptional attention to detail.
Communicate well across engineering, design, product, and research teams.
Preferred Qualifications
Strong experience with modern frontend technologies (React, TypeScript, Next.js, or similar).
Experience building scalable backend services using Python, Go, Node.js, Rust, or comparable technologies.
Familiarity with distributed systems, APIs, and cloud infrastructure.
Experience building highly interactive consumer products.
Background working with AI, machine learning products, search, recommendations, personalization, or multimodal systems is a plus.
A track record of shipping products quickly while maintaining engineering quality.
What Success Looks Like
Successful engineers on this team combine strong technical execution with excellent product judgment. They move fluidly between prototyping and production systems, collaborate effectively across disciplines, and consistently deliver experiences that feel intuitive, elegant, and magical to users.
They are excited by fast iteration, comfortable making decisions with imperfect information, and motivated by building products that redefine how people use AI every day.
Why OpenAI
At OpenAI, you'll work alongside some of the world's best researchers, engineers, designers, and product thinkers to build AI that benefits everyone. We value curiosity, ownership, humility, and a bias toward shipping impactful products.
If you're excited about inventing new consumer experiences powered by frontier AI—and want to help shape the future of how millions of people interact with technology—we'd love to hear from you.
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.
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.
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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.
