OpenAI Jobs

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing offices globally. Our Travel, Transportation and Hospitality (TTH) team supports major players in the travel industry, helping them deliver standout customer experiences and drive business growth. We focus on supporting customers in critical moments, maximizing guest lifetime value, and building delightful products. The TTH team is small, scrappy, and collaborative, with engineers who are product-led thinkers, capable of owning an agent end-to-end. As part of this team, you will set the standard for going beyond your role and help build the future of the travel industry with AI.

OpenAI

We are seeking a Research Engineer / Scientist to join our applied research team focused on developing new methods, models, and evaluation frameworks for the future of computing. This role will concentrate on building the learning and evaluation foundations that enable AI models to become more context-aware, adaptive, and useful over time. You will tackle challenges such as reward modeling, preference learning, long-horizon evaluation, and policy improvement for systems that require high-quality behavioral decisions in realistic user settings. The work is deeply product-grounded, aiming for improved model behavior in real-world use rather than just benchmark performance. The ideal candidate is passionate about advancing AI systems beyond simple assistant interactions towards those that improve through feedback, learn from richer signals, and are trained against meaningful notions of user value.

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We are seeking a GTM Operations professional to support the Agent Development team, bringing operational rigor to their strategy and operations. This role will involve establishing operating cadences, defining and scaling best practices for enterprise AI agent deployment, and driving account expansion strategies. You will analyze complex datasets, translate findings into actionable recommendations for executive leadership, and leverage AI-native tools to build internal systems and automate workflows.

OpenAI

We are seeking an Applied AI Engineer to collaborate with strategic partners in designing, building, validating, launching, and operating agent enablement integrations. This hands-on, partner-facing role involves contributing to the platform, leading technical engagements, and translating complex requirements into secure, production-ready solutions. You will work across various internal teams and external partners to identify high-value user journeys, prototype architectures, write code, conduct evaluations, and support post-launch iterations. The ideal candidate is a product-minded engineer who excels in full-stack development, authentication systems, and clear communication, aiming to deliver low-friction, trustworthy agent experiences.

OpenAI

The ChatGPT Model Flywheel team is focused on transforming model advancements into exceptional ChatGPT user experiences. This involves ensuring reliable serving, rapid experimentation, safe deployment, and continuous improvement of AI models. The team collaborates cross-functionally with various AI and product teams to achieve these goals, driving innovation and user impact at a global scale.

OpenAI

As an Enterprise Applied AI Engineer at OpenAI, you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. This role involves writing and debugging code, building evaluation systems, resolving complex integrations, and guiding decisions across model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking an SEO Manager to define and execute our SEO strategy, aiming to capture and maintain top rankings across traditional search engines and AI answer engines to drive organic growth. This role involves building and scaling an AI-powered content engine, optimizing website performance and authority, and leading our AI search strategy (AEO/GEO) to ensure content is cited in AI-generated answers. You will measure and communicate SEO impact, connecting rankings, traffic, leads, and pipeline to optimize investments based on business outcomes. This is a primarily in-person role based in San Francisco.

thinkingmachines

Thinking Machines Lab is seeking a full stack engineer to build and ship products from prototype to scale, and to maintain tools that accelerate research and product teams. This role involves working across frontend and backend components, and contributing to the reliability, observability, and security of production systems. The company's mission is to empower humanity through advancing collaborative general intelligence, building a future where everyone has access to AI tools for their unique needs.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a full-stack engineer to develop and deploy the products and services that Tinker users engage with daily. This role involves working across frontend, backend, and infrastructure to build the Tinker console, developer tools, and other essential components for the platform. Tinker is a fine-tuning API that enables researchers and developers to customize frontier AI models using their own data and algorithms, managing the underlying infrastructure to provide flexibility and access to advanced capabilities.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a developer productivity engineer to enhance internal software development processes, focusing on safety, speed, and user experience. This role will concentrate on AI tools and coding agents, collaborating with platform, security, and product engineers to build cutting-edge tooling for AI-assisted software development and significantly accelerate the inner development loop. The position involves both establishing company-wide platforms and assisting individual developers in optimizing their workflows.

$350k - $475k

OpenAI

OpenAI is seeking an experienced systems generalist to join the GPT Infrastructure team. This role involves building an automated inference optimization platform that handles workload analysis, target hardware profiling, compiler and runtime context, and trusted verification. You will design and implement both the OpenAI-hosted control plane and the partner-side software responsible for evaluating candidates on real accelerator hardware. The goal is to create a reliable system that ensures reproducible performance results and maintains clear trust boundaries for sensitive information, turning a powerful research workflow into a scalable product.

thinkingmachines

Thinking Machines Lab is seeking an engineer to join a high-impact team focused on data infrastructure. This role is crucial for architecting and scaling the core systems that power distributed training pipelines, multimodal data catalogs, and intelligent processing of petabytes of data. You will work directly with researchers to accelerate experiments, develop new datasets, enhance infrastructure efficiency, and derive key insights from our data assets. If you are passionate about distributed systems, large-scale data mining, and building foundational tools from the ground up, we encourage you to apply.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a Site Reliability Engineer (SRE) to ensure the end-to-end reliability of their Tinker platform. This role involves working closely with engineers and research teams to enhance the robustness and resilience of every system layer. The SRE will be instrumental in maintaining and improving the infrastructure that supports custom AI model fine-tuning, ensuring a seamless experience for researchers and developers.

$350k - $475k

OpenAI

OpenAI is seeking a Safety Transparency Editor to enhance the editorial quality of key safety transparency artifacts and systems. This role involves crafting clear and precise explanations of complex technical safety topics for external audiences, leveraging AI to improve the organization's ability to communicate its safety work effectively. The editor will be responsible for shaping the external communication of technical safety efforts, identifying key narratives, and ensuring accuracy and accessibility in public-facing materials like system cards, blogs, and governance documents. This is a hands-on position requiring deep ownership, accountability, and the ability to combine exceptional editorial judgment with a builder's mindset, using AI not just for drafting but for rethinking and scaling the transparency process.

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and scale the systems that power large AI models. The goal is to make inference faster, more cost-effective, more reliable, and more reproducible, enabling research teams to focus on advancing model capabilities. This role is crucial for ensuring that every experiment, evaluation, and deployment runs smoothly at scale, with a focus on performant and efficient model inference for both real-world applications and research acceleration.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking a Research Engineer focused on developer experience to build and enhance their Tinker platform. This role involves working hands-on with users to understand their challenges and translate them into product improvements. You will be responsible for creating and updating documentation, adding library features, prototyping integrations, and ensuring users can smoothly customize frontier AI models. This position acts as a crucial link between Tinker users and the internal research and infrastructure teams, surfacing user patterns to inform product and infrastructure priorities and sharing learnings through various channels.

$350k - $475k

OpenAI

We are seeking an Applied AI Engineer to collaborate with strategic partners in designing, building, evaluating, and launching high-utility plugins for ChatGPT and Codex. This hands-on, partner-facing role involves contributing to the platform, leading partner engagements, and translating product needs into production-ready integrations. You will work closely with various internal teams at OpenAI and external partner teams to identify use cases, prototype solutions, debug issues, and guide partners through the entire plugin lifecycle. The ideal candidate is a product-minded engineer who enjoys coding, reliability, evaluations, and developer experience, aiming to help partners ship genuinely useful plugins.

OpenAI

OpenAI's Forward Deployed Engineering (FDE) team is responsible for turning research breakthroughs into production-grade systems, working closely with customers to solve high-leverage problems and drive complex, large-scale engagements. As a Technical Deployment Lead (TDL), you will define and own the delivery of complex AI systems to Semiconductor customers, focusing on high-value engineering workflows like RTL design, verification, and physical implementation. You will translate business outcomes into technical plans, manage day-to-day execution, and ensure solutions are adopted and deliver measurable value. This high-autonomy role requires deep technical project management expertise, ownership of outcomes, and the ability to immerse in customer workflows to solve complex engineering problems at pace.

$25k - $50k

Speak is reinventing language learning with an AI-powered tutor that offers a conversation-first experience. Our mission is to make learning a language accessible and effective, transforming lives by opening doors to new cultures, careers, and communities. We have become the number one language learning app in South Korea and are expanding globally, serving learners across many markets and 15+ languages. As a leading AI company, we are backed by significant venture investment and operate with a distributed team across several international locations.

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to revolutionize how they serve customers and drive business growth. We are a primarily in-person company with offices in San Francisco and expanding across North America, Europe, and Asia. Our culture is built on core values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading technology companies like Salesforce, Facebook, and Google, with Bret's notable involvement in OpenAI and Clay's leadership in Google Labs and AR/VR initiatives.