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About the Team OpenAI Consumer Devices is building the next generation of products that bring powerful AI into people’s everyday lives. Guided by OpenAI’s mission to ensure AGI benefits all of humanity, our team combines world-class researchers, engineers, designers, and operators who care deeply about creating useful, intuitive, and responsible technology. You’ll have the opportunity to work alongside exceptional people on ambitious, zero-to-one challenges at the intersection of hardware, software, and AI. This is a chance to help define an entirely new category of products—and shape how people experience AI in the future. Our team works across systems software and product engineering to build reliable consumer devices and the platforms behind them. We develop the connectivity and networking foundations that support communication across OpenAI products and systems. About the Role As an Operating Systems Engineer focused on connectivity and networking, you will design, develop, and maintain the OS capabilities that enable reliable, secure, and efficient communication across OpenAI products and systems. Your work will span Wi-Fi and Bluetooth frameworks, IP networking, and advanced network services and policy. You’ll develop OS services, libraries, and interfaces for a broad range of connectivity needs, make design decisions across software boundaries, and carry solutions through development, integration, and production. In this role, you will: Build connectivity foundations: Design, implement, and maintain OS services, frameworks, and APIs for Wi-Fi, Bluetooth, and IP networking. Develop reusable network capabilities: Build connection management, network configuration and selection, service discovery, and routing capabilities. Enable secure communication: Develop network services and policies for secure communication, traffic management, and isolation across varied network environments. Resolve issues across the stack: Investigate correctness, concurrency, interoper

About the Team The Real Estate & Workplace (REW) team creates and operates the workplaces and services that help OpenAI employees do their best work. Within Workplace Experience, Transportation connects our global office network through programs designed around employee needs, local conditions, and operational excellence. About the Role As Global Transportation Program Sr. Manager, you will own the strategy, expansion, and day-to-day performance of OpenAI’s employee transportation programs. You will make it easier for employees to get to and between our workplaces through reliable, accessible, and cost-effective commuting options. We’re looking for a builder who has launched and scaled employee transportation programs across countries in a fast-growing organization. You will translate our global workplace expansion plans into a transportation roadmap, establishing the systems, vendor partnerships, and operating practices needed to support new markets and growing offices. You’ll balance global consistency with local needs, creating repeatable approaches that enable local teams to deliver reliable service as the company scales. Location and work model : San Francisco, CA based, with required travel up to 10% to our global offices. This role will be in office Monday - Wednesday, with the option to work from home Thursdays and Fridays. In this role, you will: Own a global transportation expansion roadmap aligned with office openings, headcount growth, and changing commute demand. Prioritize investments, forecast capacity and costs, and lead launches from market assessment through operational readiness and ongoing service delivery. Manage the global employee transportation portfolio across shuttles, parking, micromobility, transit and commuter benefits, and EV charging. Determine the right service mix for each market based on employee needs, local infrastructure, accessibility, and cost. Build a scalable operating model across regions, including repeatable launch pla

About the team OpenAI’s Forward Deployed Engineering team partners with banks, asset managers, insurers, and private capital firms to deploy production-grade AI systems in high-stakes financial environments. We operate at the intersection of customer delivery and core platform development, embedding deeply with customers to translate frontier model capabilities into reliable, auditable systems that create measurable business impact. Our work turns early deployments into repeatable solution patterns, operating standards, and evaluation practices that scale across regulated financial institutions. About the role We are hiring a Forward Deployed Engineer (FDE) to lead end-to-end deployments of OpenAI’s models inside financial services organizations where correctness, latency, explainability, and control matter. You will work with customers who are experts in investment banking, trading, risk, compliance, underwriting, research, operations, or investment decision-making, translating complex workflows, data constraints, and regulatory requirements into production systems. You will measure success through production adoption, workflow efficiency, risk reduction, revenue impact, and evaluation-driven feedback loops that inform product, model, and GTM strategy. You’ll work closely with Product, Research, GTM, Security, Legal, and GRC to deliver systems that meet enterprise standards for governance, auditability, and operational resilience. You will also play a central role in shaping OpenAI’s Financial Services offering — identifying high-value use cases, defining solution patterns, and building the first repeatable deployments that scale across institutions. Learn more about some of our work with financial institutions . This role is based in New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% may be required. In this role, you will Design and ship production AI systems around models, owning integrations,

We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Reliable workplace technology enables teams to do their best work. This role focuses on maintaining and improving that reliability across devices, collaboration systems, and workplace technology environments. The Workplace Technology Support Engineer - Executive Support helps maintain the stability, performance, and continuous improvement of workplace technology across the organization, with a main focus on our executive leadership team. This will serve as the main point of contact for issues in the executive space. The role will need to be available to travel to support events, shows, presentations, and calls. You'll work closely with platform engineering, security, networking, and other internal teams to diagnose advanced issues, maintain operational standards, and translate recurring problems into scalable solutions through standardization, documentation, automation and AI-assisted operational improvements! Effective from the date that Hasbro opens its new Boston location, this position will be onsite Monday – Friday at Hasbro’s new HQ location in Boston, MA. In the interim, this position will be onsite Monday – Friday at Hasbro’s HQ in Pawtucket, RI. What You'll Do Executive Support Primary technology support resource for executives and senior leadership, delivering responsive, high-touch technical support across office, remote, and travel environments. Provide white-glove support for executive workstations, laptops, mobile devices, collaboration platforms, and workplace technologies while maintaining exceptional custom

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. The IT team helps keep Affirm’s people productive, connected, and secure by supporting the technology employees rely on every day. We manage and support end-user devices, enterprise applications, office technology, and IT infrastructure while maintaining a strong focus on security, compliance, and a seamless employee experience. Our team works across a broad range of technologies and partners closely with employees throughout the company to troubleshoot issues, improve processes, and build reliable, scalable solutions as Affirm grows. We’re seeking a flexible IT Support Administrator to help manage and support Affirm’s New York City office and technology infrastructure. Our ideal candidate excels in troubleshooting and problem-solving, with respect for compliance, and documentation. As a Support Administrator of a rapidly growing company, you will be the backbone of IT, with efficiency, security, and customer satisfaction being your primary objectives. What You'll Do: Locally support and troubleshoot users within our NYC office Remotely support and troubleshoot our end user’s problems Educate on and enforce our IT compliance and policy obligations Maintain our Zoom Rooms and AV hardware within conference rooms Monitor for security threats and malware, staying ahead of the curve to protect our users Occasionally maintain the in-office, local network infrastructure Maintain enterprise systems and company IT assets such as servers and desktops What We Look For: Experience with macOS administration and support Ability to improvise and find immediate solutions Experience managing formal ticketing systems Experience administering SaaS technologies Flexibility to work with all types of technology macOS, Windows, Printers, Network devices, etc. Experience with machine and account prov

Help shape the technology that enables a global organisation to do its best work. As Senior Manager, Platform Engineering, you’ll lead the team responsible for Diligent’s Atlassian and Microsoft platforms while setting the architectural direction for the wider internal IT estate. You’ll combine people leadership, enterprise platform strategy and hands-on technical judgement to create secure, reliable and scalable experiences for employees worldwide. From modernising service management and automating joiner, mover and leaver processes to enabling AI safely through Microsoft Copilot and Atlassian Rovo, your work will reduce friction, strengthen governance and deliver measurable business impact. Working across IT, Security, HR, Finance, Legal, Compliance and business teams, you’ll turn complex requirements into well-governed platforms that are easy to use, resilient and ready for the future. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead, coach and grow a global team of platform engineers and systems administrators, building a high-performing and inclusive culture. Own the strategy, architecture, governance and roadmap for Atlassian Cloud, including Jira, Jira Service Management, Confluence, Atlassian Guard and Rovo. Set the direction for Diligent’s Microsoft 365 E5 estate, including Teams, SharePoint, Exchange Online, Intune, Defender, Purview, Power Platform and Copilot. Design scalable integration and automation patterns across identity, HRIS, ITSM and business systems using APIs, event-driven automation, Okta Workflows, Power Platform and scripting. Partner with IT Support to improve self-service, automate repetitive work and reduce ticket volume, escalation effort and time to resolution. Establish strong standards for security, access governance, AI adoption, reliability, compliance and business continuity across the internal technology estate. These are the essentials you’ll need to get an interview Significant experience in i

About Graphcore Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world's most transformative technologies. Our AI Engineering Campus in Austin plays an important role in building the future of AI computing. The Opportunity As Technical Services Director, you will lead the teams that operate and evolve Graphcore's engineering labs, high-performance computing (HPC) platforms, and data center environments globally. You will be accountable for reliable, secure, cost-effective infrastructure that supports demanding engineering, AI, silicon-development, and validation workloads. This role combines people leadership, infrastructure strategy, operational excellence, capacity and financial planning, procurement, and program delivery. You will partner with Engineering, Information Technology, Security, Finance, Facilities, Supply Chain, customers, and external suppliers. The position is based onsite in Austin and requires travel to company facilities, data centers, and supplier locations, including international travel. What You'll Do Lead, recruit, mentor, and develop the systems administration, lab operations, and technical services teams responsible for the facility supporting global Engineering and Research and Development. Own the reliability, efficiency, protection, safety, supportability, and continuous improvement of engineering labs, HPC systems, and infrastructure facilities. Establish service levels, operating standards, escalation paths, performance measures, monitoring, observability, automation, ticketing, and configuration-management practices. Translate engineering and customer requirements into infrastructure roadmaps, capacity p

CLEAR is building THE secure identity company of the future. Our mission is to make experiences safer and easier—physically and digitally. With more than 43 million Members and a growing network of partners across the world, CLEAR's secure identity platform is transforming the way people live, work, and travel. Whether it’s at the airport, stadium, or throughout your everyday life, CLEAR unlocks the magic of frictionless experiences. As a Senior Software Engineer, Data, you will design, build, and operate the next generation of our data platform and products – going beyond ID to power a networked digital identity – while keeping member privacy, security, and reliability at the core. What you’ll do: Build and operate scalable, reliable data systems and pipelines – from ingestion to modeling to visualization – so Analysts and Engineers can self-service changes in an automated, tested, secure, and high-quality manner. Develop and maintain end-to-end data products and pipelines (batch and/or streaming) that collect, clean, transform, and model data, and own the infrastructure that powers them to unlock new business use cases and reporting. Implement and maintain infrastructure-as-code, CI/CD, and shared developer tooling for data products (e.g., Pulumi/Terraform, GitHub, orchestration tools like Dagster/Airflow) to make it easy and safe for teams to build, test, and ship changes across environments. Improve the security, compliance, and cost posture of the data stack through robust dependency management, IAM and secrets hardening, observability, and performance/cost optimizations. Partner with product and other stakeholders to uncover requirements, make architectural decisions, and continuously improve our data platform and processes. How you’ll measure success: Data reliability & SLAs: % successful pipeline runs, adherence to freshness SLAs for core datasets, and reduction in data-related incidents impacting stakeholders. Platform quality & efficiency: Reductio

We are investing in agentic AI and need a Senior AI Engineer to lead the design and delivery of these systems. This is a foundational hire: you will own both the agent-facing workstreams — pipelines, orchestration, conversational interfaces — and the underlying context layer that makes them reliable, including memory management, knowledge graph integration, and retrieval infrastructure. You will work closely with data engineers, project leads, and client stakeholders, and play a key role in shaping how Lynx builds and ships AI solutions at scale. What This Involves: Lead the architecture and delivery of agentic AI systems end-to-end: agents, orchestration, tool use, and multi-step reasoning workflows. Own the context layer: design and implement memory architectures (episodic, semantic, working memory) and integrate GraphRAG and knowledge graph retrieval into agentic pipelines. Build robust RAG systems — including vector retrieval, graph traversal, and hybrid search — and ensure retrieval quality through evaluation frameworks. Translate client requirements into technical designs, presenting approaches and trade-offs to both technical and non-technical stakeholders. Define standards and reusable patterns for agentic AI development that other engineers at Lynx can build on. Set up observability, evaluation, and monitoring pipelines to ensure AI systems perform correctly in production. Requirements: 5–8 years of software or ML engineering experience, with at least 2–3 years building LLM-based or agentic AI systems in production. Deep hands-on experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or similar) and LLM APIs (OpenAI, Anthropic, etc.). Strong understanding of agent design patterns: ReAct, planning loops, tool use, multi-agent coordination, and memory architectures. Practical experience with GraphRAG or knowledge graph-based retrieval (e.g., Neo4j, Microsoft GraphRAG) and vector databases (Pinecone, Weaviate, Qdrant, etc.). Proficiency in

Instawork is on a mission to create meaningful economic opportunities for skilled hourly professionals in communities around the globe. Our AI-powered labor marketplace helps local businesses scale, and enables global technology companies to push the frontiers of robotics and AI. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we’re looking for exceptional talent to reimagine the way the world works. Instawork is the #1 marketplace connecting businesses with skilled hourly workers, with 10M+ workers across 40+ markets in North America. Our downtown Chicago office is looking for a reliable and organized part-time Office Coordinator to help keep our downtown Chicago office running smoothly. This is a hands-on, part-time position focused on office organization, coordination, and general administrative support. We're looking for someone available to work 10–20 hours per week , with some flexibility around academic commitments. What You’ll Do Keep office supplies, shared spaces, and conference rooms organized. Order supplies and coordinate with vendors and building management. Receive mail, packages, deliveries, and occasional visitors. Prepare the office for meetings, team lunches, and small events. Organize documents, receipts, and office records. Assist with scheduling and other basic administrative tasks. Help identify and resolve routine office needs. Support occasional errands and special projects. Who You Are Organized, dependable, and attentive to detail. Comfortable taking initiative and working independently. Friendly and professional when communicating with others. Able to manage multiple small tasks and follow through. Familiar with Google Workspace. Able to work approximately 10 - 20 hours per week at our office in the Loop. Previous office or administrative experience is helpful but not required. For IL-based applicants The hourly compensation for this position is $25/hour #LI-Onsite O

About the Team The Product & Platform teams at OpenAI are responsible for delivering the company’s most impactful offerings—such as ChatGPT, our API platform, and new enterprise capabilities—to a global and diverse customer base. These systems must perform at scale and deliver exceptional experiences to developers, consumers, and businesses alike. The ChatGPT Multimodal team works across voice, image generation, and other multimodal experiences to turn frontier research capabilities into reliable products. The team connects product usage and failure patterns with research, evaluation, data, inference, capacity, and external partnerships so that model and product improvements translate into better experiences for users. About the Role We are seeking a Technical Program Manager to build the flywheel that helps ChatGPT multimodal products learn from real-world usage and improve quickly. You will lead programs spanning production-signal mining, evaluation and data pipelines, research-to-production parity, multimodal capacity planning, and complex cross-functional dependencies for voice and image-generation launches. You will work closely with product engineering, research, Human Data, inference and capacity teams, safety partners, and external vendors or product partners. Success requires technical depth, strong systems thinking, comfort with ambiguity, and the ability to turn fragmented or manual work into durable mechanisms that teams adopt. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Build a system for mining production conversations and product signals to identify representative multimodal workflows, user needs, and failure modes. Establish and maintain evaluations for the highest-priority multimodal behaviors and use cases, with clear coverage, quality standards, and ownership. Package production signals into decision-ready data and

About the Team The Consumer Devices team at OpenAI builds end-to-end hardware and software systems that bring AI into the physical world. We work at the intersection of custom silicon, embedded systems, operating systems, cloud services, mechanical engineering, electrical engineering, and product design to deliver reliable, production-ready devices at scale. Within Consumer Devices, Hardware Engineering eXperience, or HEX, is a new bootstrapped team building the environments, applications, compute, product-data systems, and workflows that let hardware engineers do their work without needing to troubleshoot the machinery underneath. HEX owns virtual engineering environments, HPC/GPU compute, storage, networking, licensing, MCAD/ECAD/CAE applications, PLM, product data, automation, validation, and support as one connected system. About the Role As a Staff PLM & Engineering Applications Engineer, you will be one of the first technical builders of HEX and the primary counterpart to the HEX lead. You will own the engineering-application and product-data side of the hardware engineering experience, with an initial focus on NX, Teamcenter, licensing, parts import, integrations, packaging, validation, and user workflows. This is not a traditional Teamcenter administration role and not a Corporate IT application-support role. You will take complex, fragile workflows and turn them into reliable engineering systems. This role is highly hands-on and systems-oriented. You will not inherit a mature environment and support queue. You will help build a fresh one, replacing manual setup guides, tribal knowledge, repeated support issues, and team handoffs with tested automation and reliable workflows. In This Role, You Will Own the technical architecture, deployment, configuration, integration, validation, and long-term operation of NX and Teamcenter. Build reliable workflows for parts import, product-data migration, metadata quality, BOMs, revisions, lifecycle states, and releas

About the Team OpenAI’s Healthcare team is working to ensure that advances in AI meaningfully improve health for everyone. We build AI systems that support patients, clinicians, and healthcare organizations while setting a high standard for deploying AI responsibly in a high-stakes domain. On the Healthcare team, we are building products and infrastructure that bring OpenAI’s capabilities into healthcare organizations and clinical workflows. We serve health care systems, insurance companies, and the broad range of healthcare IT companies. Our products include connecting ChatGPT with healthcare data and systems and building reliable enterprise experiences that can operate within complex security, privacy, compliance, and interoperability requirements. We work closely with product, research, design, security, privacy, GTM, and our healthcare customers to turn powerful AI capabilities into dependable products that clinicians and healthcare organizations use in their everyday work. About the Role We are looking for backend and full-stack software engineers to build the systems behind OpenAI’s healthcare products. You will work across backend services, APIs, data systems, integrations, and product surfaces to connect AI with healthcare workflows and enterprise data. You’ll tackle the technical challenges involved in making these systems secure, reliable, observable, and scalable enough for real-world healthcare environments. This is a product-engineering role for someone who can move between customer problems and complex system architecture, and who is comfortable owning ambiguous problems end-to-end. In this role, you will: Design and build backend and full-stack systems powering OpenAI’s healthcare products. Build services, APIs, and data pipelines that connect OpenAI products with healthcare systems and enterprise data. Develop integrations with electronic health records and other healthcare data sources. Design systems that meet demanding requirements around privacy,

About the Team The Finance Platform & Technology team builds and scales the systems and data architecture that power OpenAI’s core financial operations. We enable business agility, compliance, and operational excellence across procure-to-pay, quote-to-cash, supply chain, financial planning, and asset management. We partner with Procurement, Accounting, Tax, Legal, Security, Data, and Engineering to modernize workflows through thoughtful platform design, reliable integrations, scalable automation, and trusted data. About the Role As a Business Systems Lead for Procure-to-Pay, you will be a hands-on engineer who designs, builds, and operates the integrations and first-party applications that power OpenAI’s procurement workflows. You will translate business needs into secure, scalable software, APIs, data flows, and automation across Oracle Fusion, Zip, and connected platforms. You will build the future of buying at OpenAI using OpenAI’s own technology, from guided intake and approval experiences to supplier onboarding, purchasing, receiving, invoicing, and downstream financial data flows. You will own the technical roadmap and support model for these capabilities, improving today’s platforms while deciding where to integrate, configure, or build as OpenAI scales. Your core strength will be software and integration engineering. You will personally write code, troubleshoot cross-system failures, and take solutions through testing, deployment, and production support. You will also make targeted functional configurations in procurement platforms and partner with functional specialists on deeper process and module design. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design, build, and operate integrations across Oracle Fusion, Zip, and connected systems using APIs, events, messaging, and batch interfaces where appropriate. Build first-party

About the Team OpenAI develops models that can reason through complex problems and hardware designed for the demands of advanced AI. AI for Chips connects these efforts: applying increasingly capable AI systems to the work of semiconductor engineering. Our goal is to help engineers develop better chips and shorten design cycles. This work brings research, model training, and hardware expertise together to build tools that engineers can use on real designs, with correctness and measurable performance at the center. About the Role We’re hiring a Research Engineer to help OpenAI models solve chip-design problems through reinforcement learning, tool use, and evaluation. You’ll own experiments from the initial idea through implementation and analysis. That means building environments and evaluations, running training, investigating failures, and using the results to decide what to try next. You’ll also build the software needed to make those experiments reliable and reproducible. We value strong coding fundamentals, careful experimental judgment, and the ability to make progress independently. Prior chip-design experience is helpful, but you can learn the domain alongside the team’s hardware specialists. In this role, you will: Build RL environments and evaluations for tasks such as RTL generation, design verification, and physical design optimization. Develop and test approaches that help models use chip-design tools and improve power, performance, and area while preserving correctness. Design experiments, establish baselines, and measure whether improvements hold up on new tasks and designs. Investigate failures across model behavior, rewards, evaluation tools, and experiment infrastructure. Improve iteration speed through better tooling, faster evaluations, and proxy rewards that reflect the outcomes we care about. Turn successful experiments into reusable research code and training workflows, working closely with researchers and engineers. You might thrive in this ro