OpenAI Jobs

Clay is seeking a GTM Ops Manager to lead Sales Compensation within our Opportunity-to-Order process. We are building AI into the foundation of our revenue stack, not just as a layer on top. In this role, you will be responsible for architecting the systems and the AI agents that manage them, ensuring a seamless and efficient process from deal closure to representative payment.

OpenAI

As a Software Engineer, Quality and Developer Tools, you will build and own the systems that validate our device software. This includes designing and implementing test frameworks, regression infrastructure, hardware-in-the-loop labs, and release gates. You'll develop tooling and automation to ensure quality signals are trustworthy, integrate them into CI/CD pipelines, and create efficient workflows for engineers and QA technicians. The ideal candidate has deep experience in software quality, automation, developer tooling, and hardware-software integration, with a passion for building scalable and reliable systems for validation and release readiness.

Scale AI

As a Forward Deployed AI Engineering Manager on our Enterprise team, you will serve as the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers. You will work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments. This management role combines deep engineering and AI expertise with leadership and customer-facing problem-solving, integrating AI into critical customer workflows.

OpenAI

We are seeking an Engineering Manager to lead a team focused on building software systems that proactively detect and prevent harmful misuse of advanced AI models. This is a hands-on builder role where you will guide engineers in developing production services, detection pipelines, and mitigation strategies to safeguard the integrity of frontier models and minimize high-severity misuse risks. While this role involves aspects of frontier model development and security, the primary focus is on software engineering expertise, with an emphasis on creating reliable systems capable of operating at a massive scale.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will be responsible for bringing Sierra's AI agents to life for customers, guiding them from initial pilot phases to production-level deployment handling thousands of daily conversations. This role sits at the intersection of product development, agent building, and customer engagement, requiring a deep understanding of both the technology and the user needs. You will transform complex customer challenges into effective AI agents that deliver measurable business impact.

OpenAI

OpenAI's Safety teams are dedicated to ensuring that our products are safe, trusted, and resilient as frontier AI systems scale globally. We are seeking Data Scientists to build the analytical foundations necessary for the responsible deployment of increasingly capable AI. This high-impact role operates at the intersection of product, safety, policy, and research, tackling complex and ambiguous problems where rigorous analysis directly informs critical decisions. Depending on your background and team alignment, you will work on measuring harmful or abusive behavior, detecting fraud and manipulation, evaluating and improving safety systems, designing experiments to understand product impacts, building prevalence estimators and monitoring systems, diagnosing gaps in safety and integrity, and translating risks into measurable problems and evidence-based recommendations. You will partner with Product, Engineering, Policy, Research, and Operations teams to improve safety outcomes and build analytical systems in rapidly evolving domains.

$230k - $325k

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 international offices. Our core values include Trust, Customer Obsession, Craftsmanship, Intensity, and Family. The company was co-founded by Bret Taylor and Clay Bavor, who bring extensive experience from leading tech companies like Salesforce, Facebook, and Google.

Cartesia is seeking a Software Engineer, Agents to develop the backend platform for Line, their voice agents product. This role involves owning backend development end-to-end, shaping the latency, reliability, and developer experience of agents built on the Cartesia platform. The position requires building and operating distributed systems, taking projects from specification to production, making critical architectural decisions, and defining the developer experience for engineers using the platform.

OpenAI

As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations.

OpenAI

We are seeking engineers to build the AI systems that make Codex agents dependable in production. This role involves hands-on work across low-level systems and ML workflows, with the ability to debug Codex behavior end-to-end across the harness, model behavior, inference/runtime stack, GPU fleet, and product surface. You will collaborate with research, infrastructure, and product teams to design agent harness capabilities, run experiments, build frameworks for assessing production agent performance, and implement durable improvements from observed failures.

OpenAI

We are seeking a highly autonomous and ownership-driven engineer to join our Developer Productivity team, focusing on OpenAI's Inference Runtime. This role is crucial for scaling the engineering systems, safeguards, and developer workflows that enable our teams to innovate rapidly without compromising reliability or performance. You will operate at the intersection of developer experience, CI/CD infrastructure, release engineering, production readiness, and inference systems reliability. Your work will involve developing tooling and operational foundations for model launches, inference optimizations, cloud integrations, and large-scale deployments within our rapidly evolving inference stack. A primary focus will be enhancing the tooling and infrastructure for deploy gates of inference engine images, ensuring correctness, numerical soundness, regression-free performance, and optimized metrics like time-to-first-token (TTFT) and time-between-tokens (TBT). You will also contribute to hardening pre-production issue detection systems, reducing noise from flaky tests, and improving automation for triage, debugging, and escalation, alongside enhancing observability, rollout safety, release automation, and developer self-service tooling.

OpenAI

OpenAI is seeking a Product Manager to lead the product strategy for sensitive deployments, focusing on contexts with high operating bars due to model capability, customer settings, privacy constraints, and misuse potential. This includes government, high-stakes, regulated enterprise, zero data retention, and agentic workflow environments. The role involves building reusable integrity capabilities for agentic detection and enforcement in these sensitive areas, with a focus on high-consequence use cases and broader deployment-readiness for high-risk domains like healthcare.

Sierra is seeking a technical Voice Designer to craft and implement AI voices for customer experiences, focusing on European locales. This forward-deployed role involves working directly with customers to translate their requirements into production-quality AI voices. You will collaborate with the voice platform team to implement and tune voices at scale, which includes recording and editing audio, and making code-level changes within the Sierra platform. The position requires a blend of product sensibility, design taste, customer partnership, and technical comfort with command-line tooling, sitting at the intersection of speech, brand, and engineering.

thinkingmachines

Thinking Machines Lab is seeking pre-training researchers to join their mission of advancing collaborative general intelligence. This role is central to developing the next generation of AI models by blending research with large-scale data engineering. You will be responsible for assembling pre-training datasets and data systems, designing and implementing methods for sourcing, curating, and analyzing data for quality and performance. The position involves working with automated pipelines and human-in-the-loop processes, contributing both scientific insights and production-grade code. It's an ideal opportunity for individuals passionate about the intersection of data, machine learning, and systems, and who are eager to shape the future of AI.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking researchers to bridge the gap between raw AI intelligence and useful, safe, and collaborative systems. This role focuses on post-training data research, combining human insight and machine learning techniques to capture and steer model behavior based on human preferences. You will be responsible for translating research ideas into actionable data through labeling and collection campaigns, understanding data quality science, and developing metrics to measure the impact of data and training interventions. The position also involves exploring new paradigms for human-AI interaction and scalable oversight, blending research, data operations, and technical implementation to advance human-centered AI systems. This role requires both fundamental research and practical engineering, making it ideal for individuals who enjoy deep theoretical exploration and hands-on experimentation.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design and build core systems for efficient large-scale model training, with a specific focus on numerics. This role involves enhancing the numerical foundations of their distributed training stack, optimizing precision formats, kernel optimizations, and communication frameworks to ensure stable, scalable, and fast training of trillion-parameter models. The ideal candidate will bridge research and systems engineering, possessing a strong understanding of both optimization mathematics and distributed compute realities.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure research engineer to design, optimize, and maintain the compute foundations for large-scale language model training. This role involves developing high-performance ML kernels, enabling efficient low-precision arithmetic, and improving the distributed compute stack. You will work closely with researchers and systems architects, bridging algorithmic design with hardware efficiency, prototyping new kernel implementations, and defining numerical and parallelism strategies for scaling AI systems.

$350k - $475k

thinkingmachines

Thinking Machines Lab is seeking an infrastructure engineer to lead and enhance the security infrastructure for their foundation models. This role involves working across compute, storage, networking, and data platforms to ensure systems are secure, reliable, and scalable. The engineer will define security controls, architecture, and tooling, integrating security by default into the platform. Collaboration with research and product teams will be key to enabling rapid progress while maintaining robust protection for models, data, and environments.

$200k - $475k

Speak is scaling rapidly across APAC, and we are seeking a People Operations Generalist to join our lean team and enhance our operational capacity across Korea, Japan, and Taiwan. This meaningful and hands-on role involves managing key aspects of the employee lifecycle, including onboarding, offboarding, contracts, HRIS, and multi-market compliance. You will be instrumental in improving and documenting processes, and over time, transforming them into scalable infrastructure that supports our growth across three markets. If you are detail-oriented and eager to make an impact at an early-stage company, this position offers a unique opportunity to shape our People Operations function.

OpenAI

The Codex team is building state-of-the-art AI systems for code generation and agentic reasoning, aiming to deploy these capabilities in products like ChatGPT and next-generation coding tools. As a Performance & Systems Engineer, you will focus on whole-system optimization across a complex stack including LLM inference, cloud orchestration, and agentic work management. Your role involves identifying and implementing high-leverage changes across infrastructure, modeling, and product layers to significantly improve the speed and cost-efficiency of Codex agents, directly impacting the experience of millions of users.