Identity And Access Management Engineer Jobs

About OpenAI OpenAI is an AI research and deployment company committed to ensuring that artificial general intelligence benefits all of humanity. Our mission requires a team that brings diverse perspectives, strong judgment, and a deep commitment to safe and beneficial deployment. About the role We are seeking an experienced Enterprise Marketing Manager / Lead to build and drive OpenAI's enterprise marketing strategy in Japan. This person will be responsible for developing local programs that generate pipeline, deepen enterprise trust, and help Japanese businesses understand how OpenAI can create meaningful value. This role is ideal for a full-stack B2B marketer who understands Japan enterprise buying dynamics and can operate across strategy and execution. You will partner closely with Sales, Partnerships, Product Marketing, Communications, Legal, and Global Marketing to translate global priorities into locally resonant programs. Responsibilities - Develop and execute Japan enterprise marketing strategy aligned with GTM and revenue priorities - Plan and run field marketing programs, executive events, webinars, roundtables, ABM pilots, partner co-marketing, and demand generation campaigns - Create high-impact bilingual content, including customer stories, newsletters, executive narratives, sales enablement, and localized campaign assets - Partner with Sales to identify target accounts, industries, objections, and opportunities for marketing support - Work with Product Marketing and Global Marketing to localize launches, narratives, and enterprise messaging for Japan - Coordinate with Comms, Global Affairs, Legal, and policy partners on trust-sensitive messaging and external programs - Build partner marketing strategies with priority ecosystem and channel partners - Manage agencies, vendors, timelines, budgets, reporting, and post-campaign measurement - Establish operating rhythms and performance dashboards for Japan enterprise marketing Qualifications - 10-12+ years

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: 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. Role Overview We are seeking a Package Reliability Engineer to lead reliability engineering for advanced packages used in high-performance AI and computing systems. The primary focus of this role is to assess package level mechanical and thermal reliability risks and apply thermal and mechanical modeling to optimize package design, material selection, and assembly processes. The engineer will also develop reliability test plans with external partners, identify failure mechanisms, perform root-cause analysis, and recommend practical corrective actions. In this role, you will assess package reliability risks from early architecture development through product qualification and high-volume manufacturing. You will work closely with package design, silicon design, system engineering, manufacturing, and ASIC partners to predict package behavior, develop qualification strategies, resolve reliability issues, and improve overall package robustness and lifetime. In this role you will: Lead reliability test plan and assessments for advanced HPC packages, including risk identification, potential failure-mechanism analysis, root-cause investigation, mitigation planning, and corrective-action development. Drive reliability-focused package design optimization based on thermo-mechanical modeling to improve package reliability, power integrity, thermal performance, mechanical robustness, and platform scalability. Develop, validate, and apply package reliability models and lifetime-prediction

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 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 work

About the Team The IT Services and Support team is responsible for providing seamless, efficient, and reliable IT solutions across the organization. We handle frontline IT support, manage vendor relationships and equipment inventory, and continuously improve our processes and documentation to enhance the overall employee experience. About the Role As an IT Support Specialist, you will be the first point of contact for troubleshooting hardware, software, and network issues. Your responsibilities include resolving incoming support requests, coordinating with vendors for equipment procurement, repairs, and maintenance, and actively participating in process and systems improvement initiatives. We’re looking for people who are customer-focused, technically proficient, and proactive in enhancing IT processes. You should excel at clear communication with both technical and non-technical stakeholders, have robust expertise in IT systems (with a strong background in macOS, and ideally Windows), and thrive in collaborative, fast-paced environments. This role is based out of our Bellevue, San Francisco, or Mountain View office and requires 5 days in office per week. We offer relocation assistance to new employees. In this role, you will: Improve Support Systems and Processes : Collaborate with cross-functional teams to identify opportunities for improvement, support the creation and maintenance of repeatable workflows (such as onboarding and device imaging), and contribute innovative ideas during IT team meetings. Collaborate across OpenAI : Work closely with cross-functional teams (Security, Facilities, People Ops, etc.) to ensure seamless employee experiences. Clearly articulate issues, potential solutions, and timelines to both technical and non-technical stakeholders. Act as Frontline IT Support : Serve as the primary point of contact for troubleshooting hardware, software, and network issues, ensuring prompt and reliable resolution of employee requests. Manage Vendors and

About the team The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use cases and bring them into production through strong architectural guidance and hands-on execution. The Partner Applied AI Engineering organization works closely with strategic cloud providers, systems integrators, consultancies, and implementation partners to scale successful adoption of OpenAI technologies. As the leader of the AWS Partner AAE pod, you will manage a team of Applied AI Engineers focused on enabling AWS-aligned partners and their customers to build, deploy, and operationalize AI applications on OpenAI’s platform. About the role We are seeking a Manager, Partner Applied AI Engineering – AWS to lead a team of Applied AI Engineers supporting strategic AWS ecosystem partnerships. In this role, you will own the technical success strategy for AWS-aligned partners and help build scalable, repeatable ways for partners and their customers to adopt OpenAI technologies. Your team will guide partners and customers across the full AI implementation lifecycle—from identifying and shaping high-value use cases to solution design, architecture, production deployment, optimization, and adoption growth. You will work cross-functionally with internal and external stakeholders across Sales, Partnerships, Product, Research, and Engineering to ensure the voice of partners and customers informs our platform roadmap and how we bring OpenAI technology into production at scale. This role requires a blend of technical depth, customer leadership, operational rigor, and people management. Success will be measured through production deployments, partner technical maturity, API adoption growth, team development, and the overall impact of the AWS partner ecosystem. This role is based in our San Fra

About the team The AI Deployment Engineering (ADE) team ensures the safe and effective deployment of Generative AI applications for developers and enterprises. We act as trusted advisors and technical partners to our customers, helping them build and execute their AI adoption strategy post-sale. Our mission is to develop a strong backlog of GenAI use cases tailored to each customer’s industry and to drive these initiatives from prototype to production through hands-on technical guidance and partnership. As a Partner ADE, you’ll support systems integrators and their most strategic customers transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the role We are looking for a driven solutions leader with a product mindset as the founding Partner ADE to own the technical engagement with our systems integrators (including GSIs, RSIs, and boutique SIs) and ensure their customers achieve tangible business value with GenAI. You will help partners identify high-value use cases and provide technical enablement through the implementation of AI solutions. Your efforts will accelerate partners’ time to unlock distribution and adoption, ensuring they deliver exceptional results for our joint customers while maintaining high-quality standards. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Solutions Architecture. 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: Deeply embed with GSIs, RSIs, and boutique SIs as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API for their customers. Work with senior SI and customer stakeholders to identify the best applications of GenAI in their industry a

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role We are looking for a product marketing professional to drive positioning, adoption, and growth of Paytm’s EDC offerings across merchant segments. Key Responsibilities * Define product positioning, messaging, and go-to-market strategy for EDC products. * Work closely with product teams to translate features into clear merchant value propositions. * Drive launches, campaigns, and adoption strategies for new features and products. * Partner with sales and distribution teams to enable effective product storytelling * Use data and customer insights to refine messaging and improve conversion funnels. * Conduct market research and competitive analysis to identify differentiation opportunities. Ideal Candidate Profile * 4–5 years of experience in product marketing (fintech / SaaS / payments preferred). * Strong ability to simplify complex products into clear, compelling narratives. * Experience working with cross-functional teams (product, sales, analytics) * Data-driven mindset with strong execution capability * Strong communication and stakeholder management skills. Why join us A collaborative output driven program that brings cohesiveness across businesses through technology Improve the average revenue per use by increasing the cross-sell opportunities solid 360 feedback from your peer teams on your support of their goals respect, that is earned, not demanded from your peers and manager. Compensation: If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to de

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role This role will drive integrations between Paytm EDC and other billing POS providers, enabling seamless merchant experiences and improving adoption across key segments. Key Responsibilities * Own end-to-end integration lifecycle Work with product team to enable seamless EDC + billing interoperability. * Drive technical and business alignment between Paytm product and partner teams. * Identify high-impact POS platforms and prioritize integrations based on merchant demand and revenue potential. * Ensure smooth onboarding, testing, deployment, and post-integration support. * Act as the bridge between business, product, and engineering teams. Ideal Candidate Profile * 5–7 years of relevant experience in POS integrations, fintech, SaaS, or payments ecosystem. * Strong understanding of billing software / POS systems / APIs / integrations. * Ability to work closely with technical teams while driving business outcomes. * Experience in merchant-facing solutions or retail tech ecosystems is a plus. * Strong problem-solving and stakeholder management skills. * Based in Delhi (mandatory requirement). Why join us • A collaborative output driven program that brings cohesiveness across businesses through technology. • Improve the average revenue per use by increasing the cross-sell opportunities. •A solid 360 feedback from your peer teams on your support of their goals. • Respect, that is earned, not demanded from your peers and manager. Compensation: If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 17 mn+ merchants and depth of data in our ecosyst

About Paytm Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytms mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Role Overview We are looking for a high-agency Product Analyst to join the Lending product team at Paytm. This role sits at the intersection of analytics, product management, technology, and product operations. You will drive data-backed decision-making across lending funnels across acquisition and servicing, identify opportunities for impact, and take operational ownership of selected product workstreams to improve execution velocity and free up PM bandwidth. This is a high-impact role with direct influence on revenue and customer experience. Key Responsibilities Product Analytics & Insights Own end-to-end funnel analytics for lending products (financial securities). Build dashboards tracking key product metrics. Conduct cohort analysis across user segments and their performance. Design and evaluate A/B tests (pricing, UI flows, underwriting rules). Create decision frameworks for feature prioritization backed by data. Product Operations Own release monitoring and post-release performance tracking. Manage experiment rollouts and ensure clean measurement. Key Metrics Funnel conversion rates Servicing and experience Disbursal growth Time-to-disbursal Pricing & experimentation. Expectations • 3 to 6 years of experience in Product Analytics, preferably with a background in Lending. • Strong SQL proficiency (mandatory). • Experience with Python/R for modeling preferred. •Strong understanding of credit lifecycle and lending unit economics. • Experience building dashboards. • High ownership mindset and bias for execution. • Prior experience in a fast-paced B2C fintech environment (preferred). Why join u

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role We are looking for someone who enjoys solving business problems, is curious about customer behavior, and can convert data into actions that drive business outcomes. As part of the Lending team, you will work across the entire Lending journey—from customer targeting, acquisition and partner performance to operations, customer experience, and business growth. You'll work closely with Product, Risk, Marketing, as well as Lending Partners to identify opportunities, influence decisions, and execute high-impact initiatives. What You'll Do Own and solve high-impact business problems across the digital lending journey. Identify opportunities to improve customer acquisition, conversion, partner performance, and operational efficiency. Develop customer segmentation frameworks to drive targeted acquisition, engagement, and conversion strategies. Work with lending partners to understand business performance, identify bottlenecks, and drive improvements. Analyze customer journeys across digital and assisted channels, including call center interactions, to improve customer experience and business outcomes. Design and measure experiments, new initiatives, and process changes, and translate learnings into scalable solutions. Develop business dashboards and performance metrics that enable faster and better decision-making. Bring fresh ideas by combining customer insights, market trends, and data to unlock new growth opportunities. Partner with cross-functional teams to drive execution from idea to implementation. Present clear, data-backed recommendations to senior leadership and influence strategic decisions

About the Role: We are looking for a highly analytical and data-driven Business Analyst who can derive actionable insights to support business growth, product strategy, and operational efficiency. The ideal candidate should have strong problem-solving abilities, hands-on experience with SQL and Power BI, and the ability to work closely with cross-functional teams to drive data-backed decision making. Key Responsibilities: ● Analyze large datasets to identify trends, business opportunities, and performance gaps. ● Build and maintain dashboards, MIS reports, and business performance trackers using Power BI. ● Write complex SQL queries for data extraction, validation, and analysis. ● Partner with business, product, marketing, and operations teams to support strategic initiatives. ● Monitor key business metrics and provide actionable recommendations to stakeholders. ● Automate recurring reports and improve reporting efficiency. ● Present insights and findings to leadership teams in a clear and structured manner. Requirements: ● 2–5 years of experience in Business Analytics / Data Analytics. ● Strong proficiency in SQL and Power BI is mandatory. ● Good understanding of data visualization, reporting, and dashboarding. ● Strong analytical thinking and problem-solving skills. ● Experience working with large datasets and deriving business insights. ● Excellent communication and stakeholder management skills. ● Prior experience in fintech, consumer internet, or digital businesses will be preferred. Preferred Skills: ● Knowledge of Excel, Python, or other analytics tools is a plus. ● Exposure to product analytics, customer lifecycle analysis, or performance marketing analytics would be an advantage.

About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. Key Responsibilities: Prepare and issue Requests for Proposal (RFPs) to potential vendors . Identify, evaluate, and onboard potential suppliers in the system. Source suppliers, obtain quotations and negotiating with suppliers Identify reliable suppliers, build strong vendor relationships, and monitor their performance. Review and verify purchase requisitions received from various departments. Convert approved PRs into POs and follow up with vendors for order confirmation & delivery. Negotiate pricing, terms, and conditions to achieve cost savings and value for money. Ensure adherence to compliance with procurement policies and procedures. Maintain structured records, information and tracking of all procurement Agreements. Maintain relevant MIS & trackers Skills & Qualifications: Proven relevant experience in procurement or sourcing. Strong negotiation and vendor management skills. Proficiency in procurement tools and ERP systems (e.g., SAP, Oracle, Coupa). Excellent communication, analytical and organizational skills.