OpenAI

About the Company

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit.

To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership.

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.

Listed Jobs

Company Name

OpenAI

Job Title

Data Scientist, People Innovation

Job Description

**Job title:** Data Scientist, People Innovation **Role Summary:** Drive data‑driven experimentation and measurement for people‑centric products and systems, turning insights into operational decisions that accelerate recruiting, culture, and talent management solutions across the organization. **Expectations:** * Define and evolve success metrics for AI‑enabled people tools, ensuring rapid weekly iteration. * Design, execute, and interpret causal experiments in always‑on environments, leveraging holdouts and staged rollouts. * Translate analytical findings into actionable product, lifecycle, and targeting changes. **Key Responsibilities** - Develop and standardize measurement frameworks for candidate and employee lifecycle stages. - Partner with Product and Engineering to instrument releases, monitor real‑time impact, and validate incremental value. - Build repeatable decision loops (pre‑launch criteria → post‑launch read → next action). - Identify and recommend scaling opportunities, intervention points, and resource allocations based on behavioral and model signals. - Present findings and recommendations to senior leadership and cross‑functional stakeholders. **Required Skills** - 10+ years in quantitative roles (Data Science, Decision Science) with product‑led, internal people software, or similar experience. - Advanced expertise in experimentation, causal inference, and applied statistics; proven ability to design and interpret tests in complex, always‑on settings. - Strong technical fluency in SQL and Python; comfortable working with large, incomplete behavioral data. - Demonstrated track record of translating analytical insights into shipped product decisions. - Excellent communication and stakeholder‑influencing skills; ability to present to senior leadership. - Business judgment and bias toward action; adept at scoping ambiguous problems and driving decisions. - Interest in culture building and recruiting excellence. **Required Education & Certifications** - Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, Economics, Engineering, or related quantitative field. - Relevant certifications in data science, statistics, or analytics (e.g., Certified Analytics Professional, Google Data Analytics) are a plus.

San francisco, United states

On site

11-03-2026

Company Name

OpenAI

Job Title

Software Engineer, Observability

Job Description

**Job Title** Software Engineer, Observability **Role Summary** Design, implement, and maintain OpenAI’s end‑to‑end observability platform, including large‑scale logging, metrics, and tracing infrastructure plus AI‑enhanced tooling and user interfaces that enable engineers to detect, diagnose, and resolve incidents autonomously. **Expactations** - Proven experience operating large‑scale distributed systems in production (e.g., logging or time‑series databases). - Ability to thrive in ambiguous, fast‑moving environments and take ownership of loosely defined problems. - Full‑stack or product‑focused mindset with a passion for building tools used daily by engineers. - Strong fundamentals in systems architecture, networking, and cloud infrastructure (Kubernetes, AWS, etc.). **Key Responsibilities** - Own core observability services: distributed log storage, time‑series metric stores, and trace databases. - Develop AI‑native features such as incident summarization agents, auto‑generated dashboards, and notebook‑style debugging UIs. - Contribute to front‑end experiences for dashboards, interactive debugging, and data exploration. - Collaborate with engineering, research, user operations, and other cross‑functional teams to deliver reliable, performant observability solutions. - Participate in on‑call rotation and incident response to continuously improve system reliability. **Required Skills** - Production experience with large‑scale logging, metrics, or tracing systems (e.g., Prometheus, OpenTelemetry, Elastic, InfluxDB). - Proficiency in one or more backend languages (Go, Python, Java, Rust) and front‑end technologies (React, TypeScript). - Hands‑on experience with container orchestration (Kubernetes) and cloud platforms (AWS, GCP, Azure). - Solid understanding of networking, distributed systems, and performance tuning. - Familiarity with AI/ML concepts for tool augmentation is a plus. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience). - Advanced degree optional. - Cloud certifications (e.g., AWS Certified Solutions Architect) advantageous but not mandatory.

San francisco, United states

On site

13-03-2026

Company Name

OpenAI

Job Title

Frontend Software Engineer - B2B Applications

Job Description

**Job Title:** Frontend Software Engineer – B2B Applications **Role Summary:** Design, build, and maintain scalable web applications that expose OpenAI’s enterprise‑grade AI models to business users. Collaborate with product, design, and research teams to create responsive, performant, and accessible interfaces using modern JavaScript/TypeScript and React. **Expectations:** - 5+ years of professional experience developing production‑grade web applications. - Proficiency in TypeScript/JavaScript, React, and modern front‑end tooling (webpack, Babel, ESLint, etc.). - Strong focus on design fidelity, cross‑browser performance, and accessibility (WCAG). - Ability to sprint rapidly, iterate on user‑focused features, and manage competing priorities in a fast‑growth environment. - Experience in startup or product‑driven teams, preferably with end‑to‑end product ownership. - Interest in AI/ML concepts is a plus but not required. **Key Responsibilities:** - Develop and maintain high‑quality, reusable UI components and front‑end infrastructure for enterprise applications. - Implement responsive layouts and optimize client performance across devices and browsers. - Partner with designers to translate mockups and prototypes into pixel‑perfect, accessible interfaces. - Contribute to product strategy, architecture discussions, and end‑to‑end feature ownership. - Write unit and integration tests; enforce code quality through CI pipelines. - Mentor junior engineers and advocate best practices in front‑end development. **Required Skills:** - Advanced knowledge of TypeScript/JavaScript and React (hooks, context, memoization). - Expertise in component‑driven development (Storybook, atom‑based design systems). - Proficiency in CSS-in-JS or CSS modules, responsive design principles, and accessibility compliance. - Familiarity with state management (Redux, Zustand, etc.) and API integration patterns. - Experience with build tooling, performance profiling, and CI/CD pipelines. - Strong problem‑solving, debugging, and communication skills in cross‑functional teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience. ---

San francisco, United states

On site

Mid level

13-03-2026

Company Name

OpenAI

Job Title

Software Engineer, Payments

Job Description

**Job title:** Software Engineer, Payments **Role Summary:** Architect, build, and scale core payment infrastructure for large‑scale, regulated financial systems. Deliver robust, globally‑ready checkout experiences, collaborate across engineering, finance, legal, and product teams, and own end‑to‑end reliability, observability, and auditability of monetary flows. **Expectations:** - 5+ years professional software engineering, with focus on payments or enterprise financial systems. - Proven experience with payment processors (Stripe, Adyen, Braintree) or equivalent internal cardholder data, pricing, and commerce pipelines. - Strong product mindset, ability to translate business needs into scalable, flexible designs. - Comfortable in fast‑growth, ambiguous environments while maintaining technical rigor. - Excellent stakeholder communication and consensus‑building skills. **Key Responsibilities:** - Design, implement, and extend payment primitives and core payment infrastructure. - Collaborate with Finance, Growth, Product, Legal, and external vendors to transform requirements into clean, scalable systems. - Own system reliability, observability, auditability, and compliance for regulated payment operations. - Build seamless, worldwide user checkout experiences. - Drive continuous improvement of system performance and security across all payment flows. **Required Skills:** - Backend development in modern languages (e.g., Go, Java, Python, TypeScript). - Deep understanding of payment processor APIs, PCI‑DSS, data security, and compliance. - System architecture expertise: distributed design, data modeling, reliability engineering. - Experience with observability tech: monitoring, logging, tracing, alerts. - Strong communication, documentation, and cross‑functional collaboration. **Required Education & Certifications:** - Bachelor’s (or higher) degree in Computer Science, Engineering, or related field. - Relevant certifications (e.g., PCI‑DSS, Certified Payment Specialist) are a plus.

San francisco, United states

On site

Mid level

13-03-2026