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About the team OpenAI's mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world's best scientists, engineers, and business professionals into one lab together to accomplish this. In pursuit of this mission, our Go To Market (GTM) team helps customers understand, adopt, and deploy OpenAI's technology across their most important workflows. The team is made up of Sales, Solutions, Support, Marketing, and Partnerships professionals who work together to bring AI to as many people and organizations as possible. About the role As an Account Director focused on Life Sciences, you will own executive-level relationships with organizations across biopharma, medical technology, and life science services. This includes pharmaceutical and biotechnology companies, medical device and diagnostics companies, contract research organizations, contract development and manufacturing organizations, research tools companies, and laboratory or scientific services providers. This is a role for someone who understands how life sciences companies create, validate, manufacture, commercialize, and support scientific and medical products. You will help these customers evaluate and deploy OpenAI's technology to accelerate R&D, improve clinical and regulatory workflows, scale scientific and medical content operations, modernize commercial and field teams, and improve knowledge work across highly regulated environments. The role blends scientific literacy, enterprise sales discipline, technical curiosity, and relationship-driven account leadership. You will partner closely with solutions, research, product, legal, security, and compliance teams to design secure, responsible, and high-impact AI deployments for life sciences customers. This role can be remote but New York or San Francisco office locations are preferred. We use a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Manage a focused portfolio of strategic life sciences accounts across biopharma, medtech, diagnostics, CROs, CDMOs, and life science services Develop long-term account plans that map OpenAI capabilities to customer priorities across R&D, clinical development, regulatory, manufacturing, medical affairs, commercial, and enterprise IT Lead complex, multi-stakeholder sales cycles with executives, technical leaders, scientific stakeholders, procurement, legal, privacy, security, and compliance teams Identify and shape high-value AI use cases such as drug discovery support, clinical trial operations, regulatory submissions, medical writing, pharmacovigilance, field enablement, customer operations, and enterprise knowledge workflows Partner with solutions and research engineering to design pilots and deployments that demonstrate measurable business, scientific, and operational impact Collaborate with privacy, security, legal, and compliance partners to support responsible AI deployment in regulated life sciences environments, including GxP and global data governance considerations Own revenue, consumption, pipeline, forecast accuracy, and expansion strategy for your accounts Monitor life sciences industry trends, regulatory shifts, competitive dynamics, and customer buying patterns to inform account strategy and the broader OpenAI go-to-market motion Represent OpenAI in life sciences industry forums and customer executive conversations, including settings such as JPM, BIO, HLTH, and targeted biopharma or medtech leadership events Partner cross-functionally with marketing, partnerships, communications, and product teams to build a repeatable life sciences go-to-market motion We're seeking someone with experience including: 14+ years selling complex enterprise software, cloud, AI, data, or platform solutions to life sciences customers A track record of building and growing strategic accounts across biopharma, medtech, diagnostics, CROs, CDMOs, life science services, or adjacent scientific industries Proven success achieving and exceeding multi-million-dollar annual revenue targets in complex, regulated enterprise environments Experience managing C-suite and senior stakeholder relationships across R&D, clinical, regulatory, manufacturing, medical affairs, commercial, enterprise IT, security, and data organizations Strong understanding of life sciences workflows such as drug discovery, translational research, clinical development, regulatory submissions, quality, manufacturing, medical affairs, market access, and commercial operations Familiarity with data privacy, security, compliance, validation, GxP, and responsible AI considerations relevant to life sciences companies Demonstrated ability to create account strategy, navigate large buying committees, build executive consensus, and close complex platform or transformation deals Ability to translate technical AI capabilities into concrete business, scientific, and operational outcomes for life sciences customers You might thrive in this role if you: Are energized by helping life sciences companies use AI to advance scientific discovery, product development, and commercial impact Can translate complex scientific, technical, regulatory, and business needs into clear AI adoption strategies Are comfortable selling to both technical and non-technical executives across R&D, commercial, IT, data, security, legal, and compliance functions Bring curiosity about biology, medicine, devices, diagnostics, research services, and the changing operating model of life sciences companies Are a builder who enjoys creating repeatable sales motions, customer narratives, and proof points in an emerging market Are a strategic account leader who can move from executive vision to practical pilot design, adoption planning, expansion strategy, and measurable customer impact Are comfortable operating with ambiguity and creating clarity across complex, cross-functional engagements 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 hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.
About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are looking for a highly experienced, hands-on RTL engineer with deep packet-networking and interconnect expertise to own critical on- and off-chip communication components for our custom AI accelerator platform. You will drive the microarchitecture and RTL implementation of scalable on-chip fabrics connecting high-bandwidth compute, memory, and I/O subsystems, as well as purpose-built off-chip interfaces and protocols that enable custom computing at scale. The ideal candidate has recently owned production RTL for networking or packet-switched datapaths such as Ethernet switches, NICs, SmartNICs, network accelerators, RDMA/RoCE systems, NoCs, or custom scale-up/scale-out fabrics. This is a senior engineering role with broad technical ownership and substantial direct RTL work. You will drive designs from requirements and performance analysis through microarchitecture, SystemVerilog implementation, verification closure, physical design convergence, silicon bring-up, and production readiness. You will also plan and oversee the work of junior engineers and help develop productive engineering relationships with external partners. In this role, you will: Own the microarchitecture, RTL design, and delivery of major packet-based interconnect and networking components, including NoC fabrics, switches, routers, bridges, protocol adapters, arbiters, queues, schedulers, buffers, and traffic-management logic. Design mechanisms for routing, arbitration, ordering, flow control, congestion management, quality of service, packet scheduling, buffering, and performance monitoring. Develop on-chip and off-chip interfaces, protocol bridges, and custom networking protocols or protocol extensions for scale-up and scale-out systems. Perform substantial direct microarchitecture, SystemVerilog coding, simulation, and debug work. Collaborate with architecture and performance teams to analyze traffic patterns, identify bottlenecks, and optimize latency, bandwidth, fairness, and utilization under realistic workloads. Work with verification teams to develop coverage plans, assertions, stress scenarios, and debug strategies for highly concurrent packet and fabric behavior. Partner with physical design teams on floorplan-aware design, pipeline strategy, timing closure, power, area, and physical congestion. Collaborate with firmware, software, validation, and post-silicon teams through bring-up and production readiness. Drive third-party engagements involving networking, interface protocols, and silicon IP while maintaining design quality and execution accountability. Provide technical leadership through architecture and design reviews, documentation, mentoring, and reusable RTL methodologies. You might thrive in this role if you have: Extensive industry experience with recent, hands-on ownership of complex networking, packet-processing, or packet-switched interconnect RTL. Demonstrated networking expertise in one or more of the following: Ethernet switching, NIC/SmartNIC/DPU datapaths, network accelerators, RDMA/RoCE, InfiniBand, traffic management, or custom scale-up/scale-out transports. Deep expertise in Verilog/SystemVerilog and the development of clean, parameterized, production-quality RTL. A strong record of owning major RTL blocks or SoC subsystems from requirements and microarchitecture through tape-out and silicon bring-up. Experience designing queues, arbiters, schedulers, buffers, routing logic, virtual channels, credit-based flow control, congestion management, quality of service, ordering, or deadlock-avoidance mechanisms. Experience with relevant on-chip, chip-to-chip, or host interfaces such as AXI, CHI, CXL, PCIe, or Ethernet, alongside deeper networking or packet-datapath expertise. Experience designing custom networking protocols, protocol extensions, or hardware datapaths for large-scale RDMA/RoCE, HPC, or AI systems. Strong familiarity with RTL development and signoff flows, including lint, CDC/RDC, synthesis, formal verification, static timing analysis, power analysis, and design-for-test considerations. Experience collaborating with architecture, verification, physical design, firmware, performance, and post-silicon teams to deliver complex silicon. Strong judgment when balancing performance, power, area, schedule, verification risk, and physical implementation constraints. The ability to provide technical direction, mentor engineers, and drive alignment while remaining actively involved in RTL design and debugging. A passion for reducing complexity and improving engineering leverage through automation and pragmatic design. Preferred Qualifications Experience designing packet-switched interconnect or networking datapaths for AI accelerators, GPUs, CPUs, HPC systems, NICs/SmartNICs, switch ASICs, or large-scale datacenter silicon. Experience addressing virtualization, isolation, RAS, telemetry, security, or memory-consistency requirements within complex networking or interconnect subsystems. Experience with network or NoC performance modeling, traffic simulation, emulation, FPGA prototyping, or post-silicon traffic and performance analysis. Experience leading architecture or RTL delivery for first-generation networking or interconnect IP in rapidly evolving silicon programs. To comply with U.S. export control laws and regulations, candidates for this role may need to meet certain legal status requirements as provided in those laws and regulations. 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 hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.
About the team The Applied AI Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the role We are looking for a Cybersecurity Applied AI Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our San Francisco HQ. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflows, serving as a trusted partner to both security executives and technical practitioners. Lead discovery across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, identity, and GRC automation use cases. Build and deliver customer-facing demos, prototypes, workshops, proofs of concept, and reference architectures using OpenAI APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, and common security tools. Scope pilots with clear success criteria, data requirements, workflow integrations, evaluation methods, security constraints, safety boundaries, and human approval points. Advise customers on safe implementation patterns, including tool and function calling, structured outputs, retrieval, sandboxing, data handling, guardrails, telemetry, auditability, and approval-gated side effects. Translate between CISO-level outcomes and practitioner-level implementation details so each audience understands value, risk, and practical next steps. Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning. Validate, synthesize, and deliver high-signal feedback to Product, Engineering, Research, Security, and GTM teams based on recurring customer requirements, blockers, product gaps, and emerging cyber workflows. You'll thrive in this role if you: Have 5+ years of technical consulting, solutions engineering, security architecture, cyber advisory, deployment engineering, professional services, or equivalent customer-facing technical experience. Bring strong cybersecurity domain expertise across one or more areas such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, threat intelligence, red teaming, or security architecture. Can communicate credibly with CISOs, CTOs, security executives, engineering leaders, and highly technical security practitioners. Have hands-on experience building prototypes or production systems with APIs, Python or JavaScript, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling. Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, sandboxing, and human-in-the-loop review. Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates. Have evidence-first security judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating model or security claims. Own problems end-to-end, operate with high throughput across multiple concurrent customer projects, and know when to stay hands-on versus create reusable leverage for the broader field. Have a humble attitude, an eagerness to help colleagues, and a desire to do whatever it takes to make the team and our customers successful. 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 hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.
About the Team The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments. This is an early, high-leverage technical role focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. This person helps replace bespoke, one-off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales. About the Role We are looking for an experienced Site Reliability Engineer working on security infrastructure to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company. In this role, you will be a senior technical owner for infrastructure and identity systems end to end, from architecture and implementation through policy enforcement, upgrades, recovery, and day-two operations. You will build durable, production-grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence. This role is well suited for a hands-on senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure. This role is based in our San Francisco HQ and requires in-office presence. In this role, you will: Design, build, and operate reliable infrastructure across on-prem, hybrid, shared, and product adjacent environments. Establish standardized infrastructure patterns that replace bespoke implementations with repeatable, auditable, secure-by-default systems. Own the lifecycle of critical infrastructure platforms, including provisioning, deployment, upgrades, patching, recovery, and long-term reliability. Build infrastructure-as-code and configuration management using tools such as Terraform, Chef, and Ansible. Mature identity adjacent and policy enforced infrastructure, including Microsoft Entra and Azure management patterns. Build observability, alerting, and incident response mechanisms that improve availability, recoverability, and operational confidence. Automate high-toil and high-risk workflows with guardrails, progressive rollout patterns, and safe rollback paths. Translate incidents, design reviews, and operational learnings into durable fixes, reusable patterns, and stronger technical standards. Influence cross-functional partners across security, identity, network, and platform teams through architecture, implementation, operational data, and clear technical writing You might thrive in this role if you: Have 10+ years of hands-on experience operating and architecting mission-critical infrastructure in high-reliability environments Have experience running Security Infrastructure Have been the senior technical owner for the design and maturation of complex on-prem, hybrid, or cloud-integrated systems, setting durable architectural patterns used by multiple teams Apply Site Reliability Engineering principles at scale, using observability, automation, and incident learnings to materially reduce risk and operational toil Operate comfortably in ambiguity, making sound architectural decisions under pressure while staying close to technical detail Have experience operating infrastructure for R&D or specialized labs, manufacturing, or other safety critical environments where uptime and recoverability are essential Have experience with fleet, endpoint, or virtual desktop platforms such as FleetDM, Chef, or Azure Virtual Desktop Have experience partnering closely with identity or security engineering teams on hardened, policy enforced infrastructure at scale 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 hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.
About the Team The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale. The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability. About the Role As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You’ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches. Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices. Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large. You might thrive in this role if you: Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field. Demonstrated experience in deep learning and transformers models Experience with content understanding or abuse prevention with LLMs is a plus Proficiency in frameworks like PyTorch or Tensorflow Strong foundation in data structures, algorithms, and software engineering principles. Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization Excellent problem-solving and analytical skills, with a proactive approach to challenges. Ability to work collaboratively with cross-functional teams. Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done 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 hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.
About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Seoul. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. 50% travel is expected. In this role you will Own technical delivery across multiple deployments from first prototype to stable production. Build full-stack systems that deliver customer value and sharpen how we learn. Embed closely with customer teams, understand their needs, and guide adoption of what you build. Scope work, sequence delivery, and remove blockers early. Make trade-offs between scope, speed, and quality; adjust plans to protect delivery. Contribute directly in the code when progress or clarity depends on it. Codify working patterns into tools, playbooks, or building blocks that others can use. Share field feedback that helps Research and Product understand where the models succeed and where they can improve. Keep teams moving through clarity and follow-through. You might thrive in this role if you Bring 5+ years of engineering or technical deployment experience that includes customer-facing work. Have scoped and delivered complex systems in fast-moving or ambiguous environments. Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks. Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience. Simplify complexity and make fast, sound decisions under pressure. Communicate clearly with engineers, product teams, and customer stakeholders. Spot risks early and adjust without slowing down. Model calm and judgment when the stakes are high. 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 hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.
About the Team OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring. About the Role We are hiring on our Strategic Finance Partnerships team to drive strategic decision-making across OpenAI’s growth and media partnership portfolio, focused on our consumer business. This role will be a critical finance partner to Partnerships deal leads and Product owners, responsible for evaluating, pricing, and structuring partnerships, and translating partner opportunity into decision-ready economics and performance management. The role will be hands-on in deal evaluation, negotiation support, and portfolio oversight. You will shape how OpenAI approaches partnership unit economics, measurement and incrementality, and how partnership performance is incorporated into forecasts and planning. This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available. In this role, you will: Own financial evaluation for growth and media partnerships, including modeling revenue, margin, compute, and payback to support decision-making and negotiations. Develop clear economic frameworks and deal guardrails (pricing floors, rev-share structures, caps, minimum guarantees, performance-based terms) to protect long-term unit economics. Partner closely with Product and Partnerships to define and measure incrementality and ensure contract terms align with measurable outcomes. Lead partnership deal pricing and structuring from early-stage strategy through final term-sheet negotiations, including executive-ready recommendations and tradeoffs. Drive partnership portfolio performance management: establish core metrics, identify leading indicators, track variance to expectations, and surface risks and opportunities. Integrate partnership economics into revenue forecasting and planning cycles in partnership with the broader team. Identify recurring contract and measurement risks and establish internal governance and review mechanisms. You might thrive in this role if you have: 8+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company. A strong ability to critically evaluate opportunities and risks in financials. Expert modeling skills, including building detailed product P&Ls and operating models. The ability to distill complex financial data into actionable insights and effectively communicate with leadership. Excellent communication skills and the ability to craft compelling narratives using data. Attention to detail and a commitment to accuracy in financial reporting and analysis. Comfort operating in a player-coach capacity—providing mentorship and direction while remaining deeply involved in analytical work. Familiarity with business models and metrics relevant to OpenAI, including contribution margin analysis. Strong daily AI workflow habits, including using Codex to move faster on analysis, modeling, documentation, and operating processes. Enthusiasm for technology and artificial intelligence. Experience with SQL or a willingness to learn. This is a unique opportunity to influence the financial trajectory of cutting-edge AI products while working at the intersection of strategy, finance, and technology. If you’re passionate about driving growth and optimizing product performance, we’d love to hear from you! 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 hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.
About the Team OpenAI’s Financial Engineering and Identity data science team owns how revenue flows through our products and builds the systems that enable people and organizations to access OpenAI products safely, seamlessly, and at global scale. Identity sits at the critical intersection of growth, trust, and user experience. The team owns the experiences and infrastructure behind sign up, sign in, account recovery, authentication, and identity integrations across both consumer and enterprise products. As OpenAI expands across products and markets, Identity plays an increasingly important role in helping more users get started quickly while protecting them from abuse, fraud, and account compromise. About the Role We're looking for the first dedicated Data Scientist to partner with the Identity organization. In this role, you will define how we measure success across the entire identity journey—from first-time sign up and onboarding through authentication, account recovery, and enterprise identity experiences. You'll develop the experimentation frameworks, metrics, and analytical approaches that guide product decisions while helping the team navigate one of Identity's core challenges: optimizing growth while maintaining trust and security. You'll work closely with Product, Engineering, Design, Abuse, Risk, and Go-to-Market teams to identify opportunities, quantify trade-offs, and influence strategy. Some questions can be answered through A/B tests. Others require observational analyses, causal inference, and judgment under uncertainty. This is an opportunity to shape the analytical foundations of a high-impact product area from the ground up. This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support. In this role, you will Define the north-star metrics and measurement frameworks used to evaluate the identity experience across consumer and enterprise products. Design and analyze experiments to optimize top-of-funnel performance, including sign up, sign in, onboarding, and account recovery experiences. Partner with Identity Product and Engineering teams to improve activation, authentication success, and user experience while maintaining appropriate safeguards. Quantify and communicate trade-offs between growth objectives and abuse prevention outcomes, including risks such as fraud and account takeover. Develop methodologies to evaluate identity initiatives when randomized experimentation is not feasible, leveraging causal inference and observational analyses. Establish reporting and executive-facing metrics that provide visibility into Identity health, funnel performance, and emerging opportunities. Build source-of-truth datasets, dashboards, and analytical systems that enable scalable decision-making across the Identity organization. Help shape the culture of data-informed decision-making as the first Data Scientist dedicated to Identity. You might thrive in this role if you have 8+ years of experience in product data science, experimentation, product analytics Experience owning product funnels and driving improvements through experimentation and measurement. Strong expertise designing experiments and applying causal inference methods in production environments. Experience partnering closely with Product and Engineering teams to solve ambiguous, cross-functional problems. The ability to translate complex analytical findings into clear recommendations for both technical partners and senior leadership. Advanced proficiency in SQL and Python. A track record of independently defining metrics, building analytical frameworks, and influencing product strategy. Experience working on identity, authentication, trust and safety, fraud, abuse prevention, growth, or other user-facing platform problems is a plus, but not required. 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 hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy 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.
Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: As the Head of Early Career Recruiting, you'll own and scale our early career strategy across Notion. We've built real momentum on the engineering side — now we're ready to grow that into something bigger, expanding our early talent footprint meaningfully across the business. You'll partner with leaders across the company, university communities, and the broader talent marketplace to attract emerging talent who excel in craft and share our values. You set a high bar, you know the early career market well — university recruiting, internship conversion, emerging pipelines — and you're genuinely AI-first in how you work, always looking for ways to make the team faster and better. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days. What You'll Achieve: Define and own the global early career recruiting strategy — spanning internship programs, new grad hiring, and early-in-career pipelines across the business — translating priorities into a clear talent plan that scales across functions and regions. Manage and develop a high-performing team of early career recruiters — setting the bar and coaching to it consistently. Serve as a strategic advisor to business leaders — bringing market intelligence, early career compensation insights, and a clear point of view on emerging talent, whether they're coming from campus, a first job, or somewhere in between. Lead the adoption of AI tools, workflows, and automation across the early career recruiting function — driving meaningful change in how the team sources, assesses, and closes talent. Design and continuously improve the programs, processes, and infrastructure that allow us to hire with speed without sacrificing bar — including internship program design, conversion strategy, offer frameworks, and intern-to-FTE pipelines. Establish and own the early career metrics that matter — conversion rates, quality of hire, source mix, time to offer — and use them to drive decisions. Partner with Storytelling to sharpen our employer value proposition across the early talent community — positioning Notion as a destination for the next generation of world-class talent, wherever they're discovering us. Partner with Notion's Ambassador Program to build community and connective tissue between early talent and the broader Notion ecosystem — turning advocates into pipelines and relationships into hires. Skills You'll Need to Bring: 4+ years of recruiting leadership experience with a focus on early career hiring — spanning university recruiting, internship programs, new graduate pipelines, and early-in-career hiring across functions. A fresh perspective on how early talent is best attracted and assessed — from build challenges and work trials to the ways people just entering the workforce discover and evaluate companies — and the curiosity to keep evolving that view as the landscape changes. Proven track record of building and scaling high-performing early career teams and programs in fast-moving, high-growth environments. High agency, strategic operator who can set direction and execute — equally comfortable in a leadership conversation about talent strategy and in the weeds of a hard fall recruiting season. Strong analytical instincts with a track record of using data to drive decisions, i.e. conversion rates, funnel health, program ROI, and team performance. Trusted advisor to senior leaders, with the credibility and market knowledge to influence program investment and hiring decisions at the executive level. Genuine AI-first orientation — fluency with modern tools and an excitement for continuous discovery as the landscape evolves, with a track record of bringing teams along on that journey. Deep knowledge of early career compensation trends, talent market dynamics, and partnership models — from universities and bootcamps to the channels and communities where early-in-career talent is found. Nice to Haves: Background in program management or talent development with experience designing structured early career experiences (rotational programs, mentorship tracks, etc.). Demonstrated track record of leveraging AI to meaningfully change how early career recruiting operates — not just as a tool user, but as someone who has built workflows, driven adoption, and raised the bar on what the function can do. Experience designing and executing diversity recruiting programs targeting HBCUs, community colleges, or underrepresented talent communities — with measurable outcomes. Strong network within the university recruiting, early career, and campus talent community. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144 . #LI-Onsite A Note on AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. Equal Opportunity & Accommodations We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.