Employee Lifecycle Associate in India

About the Team OpenAI's Enterprise team builds AI-powered enterprise products and shared platform capabilities that help organizations put advanced AI to work securely and at scale. Our work spans enterprise workflows, agent experiences, integrations, identity, administration, security, governance, and deployment. About the Role As a Technical Program Manager on Enterprise, you will lead the technical strategy and execution behind the products and shared capabilities that make ChatGPT, Codex, and future OpenAI products useful, secure, and scalable for organizations. You will translate customer needs, competitive dynamics, and product priorities into actionable plans, influence architectural direction, and deliver durable capabilities across application, platform, and infrastructure layers. The role requires deep technical fluency, strong product judgment, and the ability to move between hands-on execution and broader enterprise strategy. 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: Drive technical strategy and execution for enterprise product and AI workflow initiatives, from design through implementation, launch, customer rollout, and iteration. Partner with engineering teams to influence architectural direction, interface definitions, and implementation tradeoffs across full-stack products, APIs, integrations, and shared platform systems. Translate enterprise customer requirements into actionable product priorities across AI-powered workflows, agent experiences, integrations, permissions, data access, evaluations, identity, security, governance, and deployment readiness. Represent the needs of enterprise buyers, IT administrators, security teams, business leaders, developers, and end users in product and technical decisions. Identify adoption barriers, competitive gaps, and opportunities to make OpenAI products easier for organizations

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. Technical Program Managers at OpenAI play a key leadership role in scaling these efforts, partnering deeply with product, engineering, design, and go-to-market teams to bring ambitious ideas to life and ensure clarity and discipline in execution. About the Role We are hiring a Technical Program Manager to support OpenAI's critical AI deployments across strategic cloud partners. This role is designed for a candidate who can operate as an end-to-end owner across internal engineering teams and external partner organizations. This role will drive the technical strategy and execution required to bring OpenAI models and platform capabilities into partner environments responsibly and at scale. The work spans engineering deliverables, shared roadmaps, model launch pipelines, technical integration, launch readiness, and post-launch follow-through. You will work closely with senior leaders across OpenAI engineering, infrastructure, product, safety, security, legal, finance, and go-to-market, as well as technical counterparts at our partners. The job is to turn broad partnership commitments into concrete execution plans, align both sides on what must land, and build repeatable mechanisms for launching OpenAI capabilities on third-party platforms. 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: Lead end-to-end execution for major cloud partner programs spanning model deployment, product integration, operational readiness, launch follow-through, and partner-platform adoption. Own integrated technical roadma

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil

About the Team OpenAI’s Marketing team helps translate complex technology, research, and product moments into work that can be understood by audiences around the world. The team brings together creative direction, design, writing, production, strategy, marketing, and regional partners to deliver campaigns, launches, films, events, brand systems, social, digital, OOH, experiential, and emerging formats across global markets. This role sits close to creative, production, Brand Marketing, Resource Management, agencies, and cross-functional partners. It is designed for someone who can turn approved strategic direction into a clear program path and keep that path moving—from goals and operating model through creative development, production, launch readiness, and closeout. The role will work closely with Resource Managers to anticipate resource needs, maintain accurate allocations, and identify gaps early enough to address them before they become delivery risks. About the Role As a Strategic Operations Lead, Marketing, you will help design and run the leadership operating model for OpenAI's Marketing organization. This is a senior role for someone who has built 0-1 operating systems in high-growth marketing environments and can move fluidly between strategy, planning, executive communication, and hands-on execution. We're looking for someone who can bring structure to ambiguity without adding unnecessary process: a strategic chief of staff who can stand up planning cycles, QBRs, headcount, prioritization, resourcing asks, investment governance rhythms, leadership cadences, while partnering with strategy & operations managers on budget forecasting, spend execution, variance analysis, and reporting. This role is based in San Francisco, CA. We use a hybrid work model with in-office collaboration Monday through Wednesday and offer relocation assistance to new employees. In this role, you will: Build and run the core Marketing planning system, including annual and half-ye

About the Team The Consumer Devices team is building a new generation of AI-native experiences that bring OpenAI’s technology closer to people throughout their day. We are exploring how AI can become deeply integrated into the devices people already use—understanding context, helping users accomplish tasks, coordinating across apps and services, and making use of capabilities that are uniquely available on the device. Our work spans software, devices, platform technologies, and strategic partnerships. We operate as a highly collaborative, fast-moving team focused on turning ambitious ideas into reliable products that can reach people at significant scale. About the Role As an Android Systems Engineer , you will help define and build the Android platform capabilities behind the next generation of AI-powered consumer experiences. This is not a traditional application-only Android role. You will work across the Android stack, using system-level APIs, device capabilities, platform integrations, and OEM-specific functionality to create experiences that would be difficult or impossible to build as a conventional mobile application. You will help determine what becomes possible when an AI assistant is deeply integrated with a mobile device: how it understands what is happening, interacts naturally with the user, connects across apps and services, and helps complete multi-step tasks. You will work closely with product, design, AI, backend, platform, and external device partners to take new concepts from prototype to production. The role requires strong technical judgment, product intuition, and comfort navigating areas where the platform, APIs, and product patterns are still evolving. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Build deeply integrated Android experiences: Design and implement product experiences that take advantage of Android

About the Team The AI Deployment 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 Cyber AI Deployment 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 Dublin Office. 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 workflo

About the Team The AI Deployment 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 Cyber AI Deployment 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 Singapore office. 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 work

About the Team The AI Deployment 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 Cyber AI Deployment 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 Tokyo office. 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 workflow

About the Team The GTM Strategy & Operations team drives the systems, insights, and operating rhythms that help scale Enterprise revenue growth. We partner closely with Sales, Finance, Enablement, Data, Growth Strategy, and Systems teams to improve business execution, accelerate growth, and operationalize key go-to-market initiatives across the Enterprise organization. About the Role You will partner closely with Digital Native Sales leadership and the GTM Strategy & Operations, Enterprise Lead to support strategic planning, improve business execution, and help operationalize key GTM initiatives across the Enterprise organization. You’ll help manage core sales cadences, analyze business performance, and drive cross-functional initiatives that improve efficiency and accelerate growth. This is a highly collaborative role that requires strong analytical skills, operational rigor, and the ability to navigate ambiguity while influencing stakeholders across multiple functions. We’re looking for people who enjoy solving complex business problems, using data to drive decision-making, and building scalable processes that help teams operate more effectively and grow faster. 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: Partner closely with Digital Native Sales leadership to support strategic planning, territory and coverage models, growth initiatives, and GTM priorities. Analyze business performance, pipeline health, customer trends, and sales funnel metrics to identify opportunities and inform recommendations. Support forecasting, pipeline reviews, business reviews, and executive reporting to improve visibility and execution across the Enterprise business. Develop and operationalize GTM growth strategies and strategic bets for new products, customer motions, capabilities, and market opportunities across Enterprise subsegments. Build and imp

About the Team The AI Deployment Engineering team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are seeking a technically proficient, business-minded AI Deployment Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead. This role is based in Tokyo. 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: Partner closely with strategic startup customers as their technical thought partner to build novel applications on our API, helping them rapidly move from ideation to scale. Provide proactive guidance to maximize business impact and accelerate application development. Experiment and prototype alongside customers, demonstrating practical use cases. Contribute to open-source resources and scale the function by sharing knowledge, codifying best practices, and publishing useful resources. Synthesize and deliver valuable feedback to the Product and Research

About the Team The Technical Success team is responsible for ensuring developers and enterprises are successful in building scalable production applications with the OpenAI API platform. We guide and support customers to achieve maximum benefits, value, and adoption from deploying our highly-capable models. OpenAI's customers represent a range of diverse backgrounds and maturity, from early-stage startups to established global enterprises. About the Role We are looking for a technically savvy and business-minded AI Deployment Engineer to deeply partner with our most strategic and high-impact platform customers, guiding them through application ideation, development, delivery, and scale to accelerate and maximize the value of what they build with our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner for collecting and delivering high fidelity feedback to Product and Research teams. This role is based in Tokyo, Japan. 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: Deeply embed with our most strategic platform customers, serving as their technical thought partner in ideating and building novel applications on our API. Proactively provide guidance to our customers on how to maximize business impact from their applications, accelerating their time to value. Experiment and prototype solutions with and for your customers. Forge and manage relationships with our customers’ leadership and stakeholders to ensure their application’s successful deployment and scale. Contribute to our open-source developer and enterprise resources. Scale the AI Deployment Engineering function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories. Validate, synthesize, and deliver high-signal feedback to the Product and Research teams. Use your expertise i

About the Role OpenAI’s Applications organization spans several rapidly scaling businesses across Consumer, Enterprise, Developers, and Hardware. As OpenAI expands globally, the international business is becoming an increasingly important driver of growth, requiring deeper financial visibility, regional coordination, and market-specific investment decision-making. We are hiring a senior Strategic Finance thought partner to work closely with the Business Finance Officer (BFO), regional leadership and other Strategic Finance teams to drive the financial performance of OpenAI’s international business. This role operates at the intersection of strategy, finance, and operations. You’ll help leadership understand regional performance drivers, allocate investment effectively across markets, and ensure the organization scales globally with strong financial discipline. You’ll also focus on the highest-leverage international priorities: building financial visibility across regions, improving operating rigor, identifying growth opportunities and risks, and ensuring alignment across regional leaders and central functional teams. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Periodic international travel is expected, with potential opportunities to live and work from one of our regional offices over time. In this role, you will: Own financial visibility and performance management across OpenAI’s international business, including regional revenue, growth, investment efficiency, and operating metrics. Partner with regional leaders and functional teams to identify opportunities, risks, and operational bottlenecks across key international markets. Support international expansion planning by helping evaluate market opportunities, investment priorities, and regional scaling strategies. Develop executive-level reporting and financial narratives to help leadership understand inter

About the Team OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission to ensure that artificial general intelligence benefits all of humanity. The Controllership team delivers the financial truth that powers OpenAI’s growth. By translating operational activity into accurate, timely, and decision-grade financial data, we enable leadership to scale the business with confidence. Our commitment to rigorous controls and best-in-class systems ensures financial integrity as OpenAI grows. About the Role We are seeking a strategic and execution-oriented Inventory & Cost Accounting Lead to build and scale manufacturing accounting and product costing capabilities across consumer hardware and robotics businesses. This role partners closely with Finance, Supply Chain, Manufacturing Operations, Technical Accounting, Strategic Finance, and Systems teams to establish scalable costing methodologies, inventory valuation processes, manufacturing close procedures, and reporting infrastructure supporting rapid growth and product launches. The ideal candidate brings deep experience in consumer hardware manufacturing environments, including standard costing, inventory accounting, variance analysis, contract manufacturing, and ERP operationalization — particularly within Oracle Fusion. This person should thrive in ambiguity, balance strategic thinking with operational execution, and possess the executive presence and judgment to influence cross-functional stakeholders and senior leadership. 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: Manufacturing Costing & Inventory Accounting Lead product costing and inventory accounting across consumer hardware and robotics programs, including inventory valuation, manufacturing variances, reserves, and close processes. Partner with Supply Chain, Operations, and Str

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments are defined by complexity rather than any one industry: existing architectures, diverse data environments, security and governance requirements, multiple stakeholder groups, and organization-wide change. We turn lessons from these deployments into better products and reusable patterns for customers everywhere. About the Role As an Applied AI Engineer you will partner directly with leading organizations to design, build, and deploy AI systems that deliver measurable business outcomes. You will combine deep technical judgment, hands-on engineering, and customer leadership to take ambitious ideas from use-case selection and architecture through prototyping, evaluation, production launch, and scale. You will write and debug code, build evaluation systems, resolve complex integrations, and guide decisions involving model behavior, reliability, latency, cost, safety, security, governance, and operational readiness. Success is measured by production systems, sustained adoption, and meaningful customer impact—not simply activity or successful demonstrations. This is a rare opportunity to work on consequential real-world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role can be based in Delhi, Mumbai or Bangalore. 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: Partner directly with enterprise customers to identify high-value opportunities and translate them into technical architectures, implementation plans, evaluation strategies, and measurable success criteria.