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
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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 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.
About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. About the Role As an AI Architect, you will be the senior technical owner for a named portfolio of customers and the primary technical counterpart to their leadership teams. You will act as the “CTO of your book of business”, shaping each customer's AI strategy and guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In partnership with the Account Director, you will translate business priorities into a focused use-case portfolio, an actionable adoption roadmap, and a clear path to durable customer value and growth. The Account Director owns commercial strategy; you own the technical strategy, customer journey, and path to production value. You will remain accountable for the technical outcome while bringing in the right specialists across deployment, implementation, enablement, security, product, and partners to provide deeper expertise and execute work where needed. This role calls for strong industry fluency, sound architectural judgment, and the ability to move confidently between executive strategy and hands-on technical conversations. 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
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 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 OpenAI’s Forward Deployed Engineering (FDE) team partners with global pharma and biotech, CROs, and research institutions to deploy production-grade AI systems across the R&D value chain. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments. About the role As a Life Sciences FDE Manager, you’ll lead a team of FDEs delivering production AI systems across drug discovery and development workflows. You’ll own delivery outcomes and team leverage while staying hands-on as a player-coach. This includes building and shipping alongside the team, setting technical direction, and maintaining a high bar for production-grade systems in regulated environments. We measure success through the health and quality of your FDE team, production adoption and measurable workflow impact, the quality of eval-driven feedback delivered back to Product and Research, and the repeatability of deployment patterns across life sciences customers. This role is based in New York City We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. This role will require travel up to 25%. In this role you will Lead and grow a team of FDEs delivering production AI systems across regulated life sciences environments Be accountable for your team’s end-to-end delivery outcomes, balancing scope, speed, robustness, and risk in high-stakes deployments Coach and develop engineers through direct feedback, high technical standards, and clear expectations for execution and ownership Operate as a player-coach, directly contributing to production systems while leading, coaching, and setting technical direction Guide teams through ambiguous, multi-workstream engagements spanning data, workflows, infrastructure, security, and scientific stakeholders Run evaluation loops that measure model and system quality against
About the team The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands-on technical depth with strong product judgment, helping translate complex, high-value use cases into clear signals that can improve both the customer experience and the underlying systems. About the role We are seeking a technically proficient, product-minded 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, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights - helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high-impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. In this role, you will: Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high-impact opportunities for improvement. Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer
About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our AI Product Counsel team, you will assist with legal initiatives related to our advanced AI products, models, and technologies. This role is highly cross-functional across OpenAI with a focus on advising product teams on the cutting edge of AI model and product developments, in areas that may span across ChatGPT and Codex, including agentic work, search, commerce, and multimodal outputs.This is a unique opportunity to engage directly with the forefront of the legal and AI fields. 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: Be the go-to counsel and partner for several teams focused on frontier AI models and products. Identify and address product, regulatory, copyright, commerce, privacy, and other legal risks and mitigations, including for agentic, commerce, and multi-modal experiences. Develop strategies for handling legal issues in creative ways and build processes for scaling flexible solutions that address risk. Serve as an expert in AI legal matters and help propose and advance AI legal policy positions. You’ll thrive in this role if you: Have 10+ years of experience with a mix of in-house or technology-focused law firm roles. Understand the letter of the law and can approach problems in a practical, principled approach. Build cross-functional relationships and communication styles that resonate with teams to balance risk-taking with responsible development. Have a strong sense of ownership, are inquisitiv
Executive - ARFF Training is responsible for assisting in developing, delivering and documenting ARFF training programs to ensure that all ARFF personnel meet operational and regulatory standards. The role focuses on assisting with training schedules, maintaining training records, evaluating trainees and ensuring compliance with ICAO, CAA, and airport-specific requirements. Source: Adani Group | Job ID: 52444
A phlebotomist is a healthcare professional responsible for collecting blood samples from patients for laboratory testing, blood donation, transfusions, or research. Their typical job description includes: Drawing blood from patients using venipuncture or finger-prick techniques. Verifying patient identity and ensuring correct labeling of blood samples. Explaining procedures to patients and helping them feel comfortable. Following infection control and safety protocols to prevent contamination. Properly handling, storing, and transporting blood specimens to the laboratory. Maintaining accurate patient records and documentation. Monitoring patients for adverse reactions during or after blood collection. Ensuring all equipment is clean, sterile, and functioning properly. Complying with healthcare regulations and maintaining patient confidentiality. Assisting with inventory management of phlebotomy supplies and equipment. Key Skills: Excellent communication and interpersonal skills. Attention to detail and accuracy. Manual dexterity and steady hand. Knowledge of medical terminology and anatomy. Ability to work under pressure while maintaining professionalism. Work Settings: Phlebotomists commonly work in hospitals, diagnostic laboratories, clinics, blood banks, physician offices, and community health centers.
Should have basic Knowledge of Material receiving and industrial catering experience Address: Plot No. D-234 Near Warale Village Chakan Phase 2 Road MIDC Rd Khed Maharashtra 410501. Facility: SCHINDLER INDIA - FS PUNE Qualification: Graduate Experience: 2 - 4 years Source: Sodexo India | Job Code: IJP576400
He should have good food knowledge and Hygiene Address: BEE Building Brigade Tech Gardens Kundalahalli Brookefields Green Avenue Kundalahalli ITPL Main Rd Phase 2 Brookefield Bengaluru Karnataka Facility: JAGUAR LAND ROVER - BANGALORE FS Qualification: 10th Experience: 3 - 4 years Source: Sodexo India | Job Code: IJP576388
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