Design Technologist in India

About the Team OpenAI's Industrial Compute organization is building the world's most advanced AI infrastructure ecosystem. In partnership with leading cloud providers, hardware manufacturers, utilities, construction partners, and internal engineering organizations, we are delivering hyperscale AI campuses that power the next generation of frontier AI models. Infrastructure Delivery Operations sits at the center of this effort. The team ensures that large, highly complex infrastructure programs execute predictably across planning, design, construction, hardware deployment, commissioning, and operational handoff. We partner across Hardware Engineering, Network Engineering, Capacity Delivery, Hardware Operations, Security, Finance, Supply Chain, and our external infrastructure partners to keep programs aligned, risks visible, and execution moving at Industrial Compute speed. About the Role We are seeking a Technical Program Manager, Infrastructure Delivery Operations to drive execution across large-scale AI infrastructure deployments. This role is responsible for orchestrating cross-functional delivery programs spanning multiple organizations, ensuring dependencies remain synchronized from early planning through production readiness. You will develop operational mechanisms that allow Industrial Compute to scale infrastructure delivery across multiple campuses simultaneously. Rather than owning any individual engineering discipline, you will own program health—bringing together engineering, construction, operations, supply chain, and partner organizations into a single coordinated execution model. Success in this role requires exceptional program management, executive communication, systems thinking, and operational rigor. You should be comfortable operating amid ambiguity while bringing structure to highly technical, multi-year infrastructure programs. Candidates should have experience leading complex infrastructure, cloud, data center, semiconductor, networking, manuf

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 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 NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. 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 compar

About the Team Our Safety Systems team is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. Within Safety Systems, the Model Policy team aligns model behavior with desired human values and norms. We co-design policy with models and for models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. About the Role If you have a specific expertise or speciality related to this work, please note it in your application via your resume, cover letter or application note. Frontier AI systems are expanding what people can do across domains, creating both enormous opportunities and difficult safety questions: when should a model help, when should it refuse, and how do we make those boundaries clear enough to train, evaluate, and enforce? In this role, you will help define how OpenAI’s models should behave in high-risk or high-ambiguity contexts, such as agentic systems, multimodal systems, user safety, privacy, and other emerging risk domains. This is an ideal role for someone who can move across unfamiliar topics, reason from first principles, and turn ambiguity into practical model behavior. You will work closely with research, engineering, product, preparedness, and operations teams to build policies that are technically grounded, measurable, and responsive to real-world risk. In this role, you will: Design and maintain model policies across safety-relevant domains, including dual-use, agentic, and emerging frontier-risk areas. Translate risk and harm models into clear behavioral specifications, evaluation criteria, grading guidance, and system-level safeguards. Define practical boundaries between beneficial uses of AI and assistance that could materially enable harm, exploitation, misuse, or unsafe outcomes. Build policy artifacts that support model training, evaluation, and deplo

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.

About the Team The Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service providers, and other supporting infrastructure that powers checkout and payment flows. Payments works closely with teams across Finance, Legal, Growth, Product, external vendors and more to ensure our payments infrastructure scales with the business and supports evolving commercial goals. About the Role As a Software Engineer on the Payments Team, you will play a pivotal role in shaping the infrastructure that powers OpenAI’s financial systems. You’ll design and build core payments systems, partner with cross-functional teams to deliver scalable solutions, and ensure that our financial systems support rapid product iteration and global reach. We’re looking for people who are pragmatic, collaborative, and energized by the opportunity to build systems that are foundational to OpenAI’s long-term mission and sustainability. 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: Architect, implement and scale core payment infrastructure. Build robust and extensible financial primitives to enable rapid iteration and support hyper-growth. Collaborate closely with internal and external stakeholders (e.g. Finance, GTM, Product, etc) to translate business requirements into clean, scalable technical systems. Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments. Create a seamless user experience for checkout around the world. Improve the reliability, observability and auditability of money movement at OpenAI. You might thrive in this role if you: Have 5+ years of professional experience in software engine

About the Team With Codex we’re building an AI software engineer. One that you can pair with, delegate to, or even ask to take on future tasks proactively. Our team is a fast-moving group within OpenAI, bringing together research, engineering, design, and product. We iteratively build the Codex agent harness and product to get the most out of the model, and we iteratively train the model to be great at complex software engineering tasks. The Codex team is responsible for building state-of-the-art AI systems that can write code, reason about software, and act as intelligent agents for developers and non-developers alike. We operate across research, engineering, product, and infrastructure; owning the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. Codex Enterprise builds the ecosystem building blocks, discovery surfaces, and enterprise capabilities that help Codex spread across developers, teams, and organizations worldwide. It is a cross-cutting team that works across the stack to build both delightful product experiences and fundamental platform capabilities. Its customers range from individual developers and small teams to large enterprises, and our mission is critical to achieving the vision of Codex as a proactive teammate. About the Role As we grow, we’re focused on turning Codex from a powerful individual tool into a production-grade teammate for entire organizations. You will work across internal OpenAI teams and external customers, from fast-moving startups to large enterprises, to make it possible to deploy, operate, and trust Codex in increasingly demanding real-world environments. As Codex’s consumer adoption accelerates, enterprise demand is growing just as quickly, and there is also increasing opportunity to expand Codex through ecosystem capabilities that unlock new workflows, integrations, and discovery. This team helps turn messy, real-world team requirements into robust, repeatable, and scalable product and

We are looking for a hands-on Project Manager with 4-5 years of experience driving technical programs within engineering teams. The ideal candidate has strong command of SDLC processes, is fluent with Atlassian tooling, and has a track record of managing stakeholders across product, engineering, and senior leadership. This role requires someone who can run day-to-day program management with an agentic, ownership-driven mindset — proactively identifying risks, unblocking teams, and reporting on productivity without needing constant direction. Key Responsibilities • SDLC & Program Delivery: Plan, manage, and drive execution of technical programs across the full SDLC — from requirements and design through development, testing, release, and post-launch support. • Technical Program Management: Own sprint planning, backlog grooming support, release schedules, and cross-team dependency tracking for engineering programs. • Atlassian Tooling: Configure, maintain, and drive adoption of Jira, Confluence, and related Atlassian tools for project tracking, workflows, dashboards, and documentation. • Stakeholder Management: Partner closely with product managers, engineering leads, and senior leadership to align on priorities, timelines, trade-offs, and status; run steering/status meetings and executive updates. • Productivity Reporting: Track, analyze, and report team and program productivity metrics (velocity, cycle time, throughput, sprint predictability) and translate them into actionable insights for leadership. • Risk Management: Proactively identify, log, and mitigate program and delivery risks; maintain risk registers and drive timely resolution of blockers and issues. • Agentic Program Ops: Independently manage day-to-day program operations — standups, follow-ups, documentation, and coordination — with an agentic, self-driven approach that minimizes hand-holding. • Documentation & Reporting: Maintain clear, up-to-date program documentation, RAID logs, roadmaps, an

Job Summary: We are seeking an experienced and highly analytical professional to join our Internal Audit team. This role is critical in providing independent assurance, enhancing the control environment, and leveraging data analytics to identify anomalies, control gaps, and potential fraud risks. The ideal candidate will have a strong background in internal audit, forensic investigations, and data analytics with extensive exposure to fintech or large service-based organizations. Key Responsibilities:  Lead and execute risk-based internal audits, including operational, financial, and compliance reviews.  Design and implement data analytics frameworks and continuous auditing techniques to enhance audit efficiency and coverage.  Conduct forensic reviews and investigations into suspected fraud, misconduct, or control failures.  Collaborate with cross-functional teams to understand key business processes and identify risks and controls.  Develop automated dashboards and data-driven tools to monitor key risk indicators and red flags.  Report audit findings to senior management and stakeholders with actionable recommendations.  Oversee documentation of working papers, audit procedures, and evidence in line with professional standards.  Mentor junior audit staff and build analytics capability within the team.  Liaise with external auditors, regulators (as needed) on investigations or audits.  Monitor regulatory and industry developments to ensure audit approaches are up to date. Required Qualifications ; Skills:  Chartered Accountant (CA), Certified Internal Auditor (CIA), or Certified Fraud Examiner (CFE) preferred.  2–7 years of relevant experience in internal audit, forensic investigations, or risk advisory in a fintech, BFSI, or large service industry setup.  Strong command of data analytics tools (e.g., SQL, ACL, IDEA, Power BI, Python, R).  Proficient in audit management systems and GRC platforms.  Exceptional analytical, investigative, and report-w

About the Role We are seeking an experienced Privacy Lead to establish, manage, and continuously enhance the organization's Privacy Program across business functions, products, technology platforms, and third-party ecosystems. The ideal candidate will possess deep expertise in privacy regulations including India's Digital Personal Data Protection Act (DPDP Act), GDPR, and privacy governance frameworks. The individual will partner closely with Legal, Compliance, Information Security, Product, Engineering, Risk, HR, and Business teams to ensure privacy-by-design principles are embedded into organizational processes and technology solutions. The Privacy Lead will serve as the subject matter expert for privacy governance, regulatory compliance, privacy risk management, data subject rights management, privacy impact assessments, and data protection controls. Key Responsibilities Privacy Governance & Strategy -Develop and execute the enterprise-wide Privacy Program and Privacy Governance Framework. -Define privacy policies, standards, procedures, and controls aligned with regulatory requirements. -Establish Privacy-by-Design and Privacy-by-Default principles across products and services. -Build privacy risk management and privacy control monitoring mechanisms. -Advise executive leadership on emerging privacy risks and regulatory developments. -Act as the organization's privacy subject matter expert for audits, inspections, and regulatory reviews. Regulatory Compliance Lead compliance initiatives for: -Digital Personal Data Protection Act (DPDP Act), India -GDPR (General Data Protection Regulation) -ISO 27701 Privacy Information Management System -RBI data governance and customer data protection requirements -Applicable privacy and data protection obligations relevant to the Banking, FinTech, Payments, and Technology sectors Responsibilities include: -Regulatory gap assessments -Compliance monitoring -Privacy control implementation -Privacy risk assessmen

Experience Level: 2–4 Years Location: Noida Department: Human Resources / Talent Acquisition Position Overview We are looking for a data-driven HR Analytics Specialist to join our Talent Acquisition (TA) team. In this role, you will bridge the gap between raw recruitment data and strategic decision-making. You will be responsible for building dynamic dashboards, tracking key recruitment metrics, and translating complex data into compelling stories for senior stakeholders.If you love diving into Excel, automating workflows with modern AI tools, and helping talent teams recruit smarter and faster, we want to hear from you! Key Responsibilities Data & Dashboard Management: Design, build, and maintain automated TA dashboards and trackers to monitor key metrics (e.g., Time-to-Hire, Cost-per-Hire, Source Effectiveness, Pipeline Velocity, and Offer Acceptance Rates). Process Automation: Actively identify manual bottlenecks in recruitment reporting and aggressively push for and implement automated solutions wherever required to drive team efficiency. Stakeholder Reporting: Prepare and deliver clear, high-impact presentations and reports for leadership and hiring managers to guide strategic hiring decisions. Predictive & Trend Analysis: Identify trends, bottlenecks, and opportunities within the recruitment funnel to optimize the candidate journey and recruiter productivity. Data Hygiene: Audit and maintain the integrity of recruitment data across our Applicant Tracking System (ATS) and internal databases. Tech Optimization: Leverage Excel and cutting-edge AI tools to automate repetitive reporting tasks, synthesize data summaries, and improve predictive analytics capability. Required Skills and Qualifications Experience: 2 to 4 years of experience in HR analytics, people analytics, or business intelligence (specifically supporting a Talent Acquisition or Recruitment function is a massive plus). Advanced Excel Skills: Mastery of advanced Excel functions is non-negotiable

Role Overview The Area Collections Manager will be responsible for managing end-to-end collections across bucket segments, driving resolution strategies, ensuring portfolio health, and leading large on-ground and tele-calling teams. The role requires strong expertise in delinquency management, compliance, analytics, and team leadership. Key Responsibilities 1. Bucket & Portfolio Management ● Manage collections across delinquency buckets (0–30, 31–60, and higher DPD segments) ● Improve resolution rates in both early and late buckets ● Focus on non-starter and delinquent accounts to prevent roll-forward ● Drive collection efficiency and overall portfolio health ● Monitor daily performance and ensure adherence to CAPE norms 2. Tele-Collections Management ● Handle soft delinquency buckets (0–30 & 31–60 DPD) through tele-calling strategies ● Design and optimize calling patterns based on customer risk profiling ● Improve dialer efficiency, call connect rates, and campaign performance ● Maximize early-stage resolutions to prevent migration to hard buckets 3. Field Collections & Risk Control ● Ensure strong field discipline (app usage, visit tracking, audit trails) ● Drive legal escalation for critical/high-risk cases ● Conduct audits to identify and mitigate portfolio risks ● Maintain strong governance and control mechanisms 4. Team Leadership & Vendor Management ● Lead large teams including Collection Managers, Team Leaders, and Executives ● Manage third-party/vendor collection agencies ● Allocate portfolios and set bucket-wise targets ● Conduct daily huddles, reviews, and performance tracking ● Coach teams on negotiation, objection handling, and resolution strategies 5. Target Achievement & Performance Delivery ● Drive monthly collection targets and improve resolution ratios ● Enhance PTP (Promise to Pay) conversion and kept rates ● Focus on First-Time Delinquent (FTD) customers to reduce future NPAs ● Ensu

About the Role We are looking for an experienced Customer Retention & Loyalty Manager to drive customer engagement, repeat transactions, and long-term customer value. The ideal candidate will own retention strategy, loyalty programs, CRM campaigns, and lifecycle marketing initiatives to improve customer stickiness and maximize Customer Lifetime Value (LTV). The role requires a strong understanding of customer behavior, data analytics, CRM platforms, and loyalty frameworks, preferably in Travel, E-commerce, Fintech, or Consumer Internet businesses. Key Responsibilities Define and execute customer retention and loyalty strategies across customer lifecycle stages. Design and manage loyalty programs, membership offerings, rewards, cashback, and engagement initiatives. Drive repeat transactions and improve customer retention metrics through targeted CRM campaigns. Develop customer segmentation and personalization strategies using behavioral and transactional data. Own lifecycle communication across Push, Email, SMS, WhatsApp, and in-app channels. Monitor and optimize key metrics such as Retention Rate, Churn Rate, Repeat Purchase Rate, Engagement Rate, and LTV. Conduct cohort analysis and identify opportunities to improve customer stickiness. Partner with Product, Growth, Marketing, Analytics, and Business teams to launch retention initiatives. Drive A/B testing and experimentation to improve campaign performance and customer engagement. Build dashboards and reporting mechanisms to track loyalty and retention performance. Manage CRM and marketing automation platforms for campaign execution and optimization. Requirements 8+ years of experience in Customer Retention, Loyalty, CRM, Lifecycle Marketing, or Customer Engagement. Experience in Travel, E-commerce, Fintech, Consumer Internet, or Digital Platforms preferred. Proven track record of improving retention, repeat transactions, and customer lifetime value. Hands-on experience with CRM too

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