Full Stack Software Engineer, Consumer Verticals

About the Team OpenAI’s Consumer Verticals team builds experiences that make ChatGPT more useful in the areas that matter to people every day: health, personal finance, education and learning, and travel. We bring together advanced AI capabilities, personal context, and thoughtful product design to help people understand complex information, explore options, and make progress toward their goals. Our work spans four areas: - Consumer Health: Helping people understand health information, prepare for appointments, and navigate their health with more context and confidence. - Personal Finances: Helping people connect their financial accounts, understand their financial picture, and explore questions grounded in their own financial context. - Education and Learning: Helping people understand concepts, practice skills, and build knowledge over time through engaging, interactive learning experiences. - Travel: Exploring new ways for AI to help people discover destinations, evaluate options, and plan trips around their preferences and needs. We work closely with product, design, research, safety, privacy, and other ChatGPT teams to turn emerging AI capabilities into useful consumer experiences, with a high bar for quality, reliability, and user trust. About the Role We’re looking for product-minded software engineers to build the next generation of consumer experiences in ChatGPT across these verticals. You will own products and features end-to-end, from early exploration and prototypes through polished experiences used by millions of people. We welcome engineers with depth in mobile, frontend, or full-stack development who combine strong technical skills with product judgment and a high bar for craft. This role is ideal for engineers who enjoy shaping new product areas, making complex information intuitive, and moving quickly from idea to launch. Prior experience in AI or any of these domains is not required. In this role, you will: - Build consumer experiences across ChatGPT’s mobile, web, and full-stack surfaces. - Own features from early prototypes through launch and iteration. - Partner with product, design, and research to turn AI capabilities into intuitive, personalized products. - Build reliable interfaces, services, and integrations with privacy, safety, and user trust at their core. - Improve quality, performance, and usability through experimentation and user feedback. You might thrive in this role if you: - Have 10+ years of software engineering experience, with depth in full-stack development. - Have shipped consumer products at scale - Bring strong product judgment and a high bar for craft. - Enjoy shaping product direction and owning ambiguous problems from idea to production. - Move quickly while making thoughtful tradeoffs around quality, reliability, and user trust. - Are excited to apply AI to personal finances, consumer health, learning and education, or travel. Bonus if you have: - Experience with AI-powered applications, conversational interfaces, or multimodal products. - Experience building personalized experiences, data visualizations, or integrations with external services. - Experience with privacy-sensitive products, secure data flows, permissions, or user consent. - Experience in personal finance, consumer health, education, travel, or a related consumer product area. 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 ha

Experience building backend services using Python, Go, Node.js, or comparable technologies.\nExperience with frontend development using React / TypeScript, or Swift or Kotlin.\nExperience operating consumer products or distributed systems at scale.\nExperience with fintech, personal finance, banking, payments, investing, or sensitive-data domain.\nFamiliarity with authentication, identity, permissions, privacy, and secure data flows.\nExperience building dashboards, data visualizations, or insight-oriented products.\nFamiliarity with observability, experimentation, product metrics, and iterative development.\nExperience with applied AI, conversational interfaces, or systems that incorporate model-generated output.

- Own full-stack product features from user experience and frontend implementation through backend services, data models, deployment, and observability.\n- Build polished, accessible, and performant interfaces for account connection, dashboards, insights, and conversational workflows.\n- Design APIs and backend systems that safely ingest, normalize, and serve financial data.\n- Build resilient integrations that handle synchronization, data freshness, partial failures, permissions, and user consent.\n- Bring new AI capabilities into production while prioritizing grounding, accuracy, transparency, and user control.\n- Establish architecture, performance standards, testing practices, and operational safeguards for a fast-growing product area.\n- Debug and improve complex behavior across client, server, infrastructure, and external integrations.\n- Use qualitative feedback, product metrics, and experiments to improve user outcomes without compromising clarity or trust.\n- Collaborate across disciplines to turn ambiguous product opportunities into simple, reliable experiences.