Lead Senior Security Technical Program Manager in India

About the role We are seeking an experienced and detail-oriented Information Security and Cloud Security Auditor to join our team. The ideal candidate will have 3-7 years of expertise in data security and privacy control implementation, internal auditing, third-party risk management, cybersecurity governance, and cloud security (banking sector preferred). This role will be responsible for conducting comprehensive IT and cloud security audits, ensuring compliance with regulatory requirements, and enhancing our information security policies and procedures. Key Responsibilities -Conduct IT and cloud security audits across various domains, including IT General Controls (ITGC), Information Security Controls, Cloud Security, Network Security, Vulnerability Management, and Vendor Risk Assessments. -Assess compliance with relevant laws, regulations, industry standards, and organizational policies across both on-premises and cloud environments. -Develop and enhance information security and cloud security policies and procedures in alignment with industry best practices. -Maintain thorough documentation of audit findings, risk assessments, security measures, working papers, audit program checklists, and evidence for internal and external reporting. -Validate ITGC, cloud security, and application-specific controls and manage audit documentation, risk assessments, evidence gathering, and control testing. -Follow up on audit findings and ensure timely closure of non-compliance and security issues identified during audits. -Manage and oversee third-party risk assessments and audits, ensuring robust security controls are implemented across traditional and cloud-based service providers. -Lead and participate in the development, migration, and implementation of security controls and policies for network and cloud security solutions. -Conduct risk-based security assessments of internal, vendor, and third-party hosted environments, covering both traditional IT infrastructure and cloud

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 is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role will be based in Delhi. In this role, you will: Manage a small number of key accounts, developing and executing strategies for a comprehensive account plan. Lead our enterprise prospects’ journeys from consideration to successful deployment. Partner with solutions and research engineering to build and execute complex customer programs and projects. Own a consumption revenue target. Manage consumption revenue forecasts. Analyze key account metrics to create reports and provide insights to internal and external stakeholders. Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies. Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering. Support the recruitment and onboarding of other teammates.

About the Team OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. In support of that mission, the Ads Solutions team partners closely with advertisers, agencies, and strategic partners to help businesses unlock value through AI-powered advertising solutions while maintaining strong standards for user trust, platform integrity, and responsible innovation. As OpenAI’s advertising business scales, the Head of ScaledAds Sales will build the strategy and operating system for serving businesses at global scale. This leader will connect direct, reseller, and outsourced channels; turn market priorities into execution; and shape a repeatable growth model that protects advertiser outcomes and user trust. This role reports directly to the VP of Global Ads Solutions and will be a key member of their leadership team. About the Role We are seeking a Head of Scaled Ads Sales to define and scale OpenAI’s approach to serving advertisers at scale. You will set the scaled sales strategy across direct, reseller, and business-process-outsourcing (BPO) channels; identify priority markets; and translate that strategy into sequenced, measurable in-market execution. This is a highly strategic and operational leadership role responsible for scaled sales revenue growth and channel performance. You will design the reseller model, select priority vendors and markets, lead RFPs and contracting, and manage partners against clear commercial and customer-quality standards. You will also work closely with outsourced vendors in the BPO channel and test a focused mid-market sales team as a potential growth engine. The ideal candidate combines scaled go-to-market strategy, channel leadership, vendor-management discipline, experimentation, and operational rigor. You are equally comfortable building a business case, running an RFP, coaching internal and partner teams, reviewing funnel economics, and changing course quickly when market evidence challenges the plan

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 The IT organization is a cohesive team that improves security, productivity, and user experience for everyone at OpenAI. We build and operate the technology foundation that enables every employee to work securely, efficiently, and with high velocity from day one, helping OpenAI remain the most secure and productive AI lab in the world. Our work spans building and maintaining reliable networks, identity and access systems, secure client platforms, and intuitive automation and self-service tools. We also support the full employee journey through smooth onboarding, well-managed hardware and logistics, and responsive global support. As OpenAI grows, we design the technology that powers our offices and keeps collaboration seamless across locations. Through strong security, scale, and simplicity, we enable teams to do their best work. About the Role As a Product Manager, you will lead vision, strategy, and execution for internal systems and platforms that enable secure, reliable, and efficient operations. You will translate technical and operational needs into clear product roadmaps, working closely with IT, engineering, security, and compliance to build scalable, intuitive, and resilient products that remove friction and improve productivity across the company. You are systems-minded, pragmatic and iterative. You thrive in ambiguity, move quickly with good judgment, and learn through iteration and usage data. You understand how internal systems fit together end-to-end and design solutions that balance usability, scale, and security. This role is based in our San Francisco HQ and requires in-office presence. We utilize a hybrid work model with 3 days in the office per week In this role, you will: Set direction and drive alignment Define and evolve product vision and roadmaps for core internal systems and platforms Ensure tools enable productivity, scale securely, and deliver a seamless employee experience Align priorities across IT, engineering, security, w

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 OpenAI's GTM Partnerships team builds a strategic, global partner ecosystem to accelerate customer success, enable enterprise AI adoption, and drive durable growth in support of OpenAI's mission toward AGI. We work cross-functionally across Product, Engineering, Security, Legal, Marketing, Customer Success, and Sales to turn strategic partnerships into measurable business outcomes. This role sits within the GTM Partnerships organization and is responsible for leading OpenAI's strategic relationships with three of the world's largest Global Systems Integrators (GSIs): HCLTech, Wipro, and Cognizant . These partners play a critical role in helping enterprise customers design, deploy, and scale AI solutions by combining OpenAI's technology with deep industry expertise, consulting capabilities, and global delivery organizations. This role reports to the Head of GSIs and will be responsible for driving executive alignment, joint go-to-market strategy, commercial execution, and scalable partnership programs across these strategic accounts. About the Role We are hiring a Partner Director, HCL, Wipro & Cognizant to lead and grow three of OpenAI's most strategic Global Systems Integrator partnerships. You will own executive relationships, develop and execute joint business plans, and drive coordinated go-to-market motions that accelerate customer adoption and revenue growth. This is a highly strategic, externally facing role that requires a blend of executive relationship management, commercial leadership, operational excellence, and ecosystem expertise. You'll work closely with OpenAI Sales, Solutions Engineering, Customer Success, Product, Marketing, Legal, Security, and partner leadership teams to build repeatable motions that generate pipeline, enable successful customer deployments, and deepen long-term strategic alignment. The ideal candidate understands how large consulting organizations operate, has experience driving revenue through strategic partn

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 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 is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible. About the Role Our Sales team has a unique mission to help customers understand the deep impact that highly capable AI models can bring to their business and users. This role is a mixture of technical understanding, vision, partnership, and value-driven strategy. You’ll be a key driver of opportunities through the entire sales cycle, from pipeline generation to closure. You’ll work with researchers, engineers, and solution strategists to help customers evolve their industry with AI. This role is based in Madrid, Spain . In this role, you will: Manage a small number of key accounts, developing and executing strategies for a comprehensive account plan Lead our enterprise prospects’ journeys from consideration to successful deployment Partner with solutions and research engineering to build and execute complex customer programs and projects Own a consumption revenue target Manage consumption revenue forecasts Analyze key account metrics to create reports and provide insights to internal and external stakeholders Closely monitor the industry landscape (people, competitors, partners, etc.) to contribute to product roadmap and other corporate strategies Collaborate with solutions, marketing, communications, business operations, people operations, finance, product management, and engineering Support the recruitment and onboarding of other teammates Supp

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 OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission. Within Finance, the Procurement team serves as a trusted advisor to the business, optimizing investments, securing essential resources, and enabling OpenAI’s mission through efficient and effective procurement practices. The Extended Workforce team helps OpenAI access specialized and flexible talent while creating a consistent, compliant, and high-quality experience for hiring managers, workers, vendors, and internal partners. As part of an AI-native organization, we are also rethinking how extended workforce programs should operate, using AI, automation, data, and new ways of working to reduce friction, improve decision-making, and build more scalable workforce solutions. Our goal is not simply to modernize traditional contingent workforce practices, but to help define what best-in-class extended workforce management looks like in an AI-first company. About the Role We’re looking for an experienced, hands-on Extended Workforce Program Manager to operate and continuously improve key elements of OpenAI’s extended workforce program. Reporting to the Head of Extended Workforce, you will be a trusted partner responsible for translating program priorities into clear plans, scalable solutions, and measurable outcomes. This is an individual contributor role with significant cross-functional ownership and influence. You will take ownership of complex workstreams, solve ambiguous operational challenges, and partner closely with our Extended Workforce Operations team, Global Compliance Lead, and cross-functional stakeholders to strengthen the systems, workflows, and partnerships that enable the program to scale globally. While operational excellence is at the heart of this role, we are equally excited about what comes next. We believe AI presents an opportunity to fundamentally rethink how extended workforce programs operate. We are looking for someone w

About Team Our Robotics team is focused on unlocking general-purpose robotics and advancing toward AGI-level intelligence in dynamic, real-world environments. Working across the full model and systems stack, we integrate cutting-edge hardware and software to explore a broad range of robotic form factors. We strive to seamlessly blend high-level AI capabilities with the physical constraints of real-world systems to improve people’s lives. About the Role We’re looking for a Technical Program Manager to own and scale the systems that power robotic data acquisition across our development and evaluation environments. This role sits at the intersection of Robotics Engineering, Operations, and Infrastructure, ensuring that DAQ stations and associated workflows reliably produce high-quality data for model training and evaluation. You will drive end-to-end execution of complex, cross-functional programs that integrate robotic platforms, sensing systems, operator tooling, and data pipelines into cohesive, production-ready systems. Success in this role requires strong systems thinking, operational rigor, and the ability to translate ambiguous research needs into scalable infrastructure. In this role you will: Own DAQ Program Delivery Lead the roadmap, execution, and scaling of robotic DAQ systems, ensuring alignment with research, engineering, and operational priorities. Drive Cross-Functional Integration Coordinate across robotics hardware, software, infrastructure, and operations teams to deliver tightly integrated, deployment-ready data collection systems. Operationalize Data Collection Systems Translate experimental and research workflows into repeatable, scalable DAQ processes with clear SLAs, metrics, and reliability targets. System Readiness & Deployment Ensure DAQ stations (robots, sensors, compute, operator interfaces) are fully integrated, validated, and ready for production use across multiple sites. Program Execution & Risk Management Build and manage detai

About the Role As a member of the Data team within the Go-to-Market organization, you will help build a data-driven culture, improve decision-making, and advance strategic initiatives through analytics. This is a full-stack data role spanning data modeling, metric definition, visualization, analysis, and self-service tooling. You will build trusted, scalable data sources and products that give the business reliable, actionable insights. The work calls for judgment: you will choose the tool, approach, and level of investment that best fit each problem, from a focused analysis to a durable production data product. As a core partner to the GTM organization, you will address both foundational and ad hoc analytics needs. You will turn complex data into clear narratives that help technical and non-technical audiences understand what is happening, why it matters, and what they should do next. In this role, you will: Partner closely with GTM teams to proactively identify high-impact questions and translate business needs into data models, metrics, analyses, and scalable technical solutions. Define, source, validate, and operationalize the metrics that guide the business, helping teams incorporate them into planning and day-to-day decisions. Lead cross-functional data projects across established and emerging business areas, including setting the data strategy for greenfield domains. Build scalable data models and pipelines that integrate and transform data from multiple sources into trusted, accessible datasets. Create dashboards, reports, analytical tools, and other data products that enable stakeholders to answer questions independently. Own the lifecycle of metrics, analytical models, and data products from initial exploration and prototyping through production and ongoing maintenance. Choose the most effective approach for each problem—whether an analysis, metric, data model, visualization, or self-service product—based on the audience, urgency, complexity, and expected