System Verification Co Design Engineer in India

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Okta is the leading independent identity provider. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With more than 7,000 pre-built integrations to applications and infrastructure providers, Okta provides simple and secure access to people and organizations everywhere, giving them the confidence to reach their full potential. At Okta, we know that forging secure connections between people and technology is no small feat. So we trust each other, we support each other. We’re dedicated, passionate, innovative, and relentless problem solvers. We believe that providing simple and secure access to people and organizations everywhere will empower them with the confidence to reach their full potential. Okta is looking for a Regional Alliances Manager with strong deal, strategy and relationship management experience to partner with Okta’s Regional Solution Providers, Distributors and Channel Partners with the aim of extending and enhancing Okta’s channel eco-system in India. The ideal candidate will possess a strong background in cyber-security Channel and Partner management along with an understanding of all the elements that are required to enable partners to be successful with the Okta solution. A Regional Alliances Manager at Okta will need to think strategically and analytically about business, product and technical challenges, with the ability to create compelling value propositions

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. L9 - Senior Business Solutions Engineer, Legal Tech Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: The Legal Technology team, within the BizTech organization, leads the mission to deliver innovative technology, empowering our legal function to utilize technology productively, driving connection, and scale support. This role sits within BizTech and partners directly with Airbnb's global Legal organization to accelerate the deployment of AI-powered tools, implementation of legal systems & integrations, and workflow automation across the CLO org. The Difference You Will Make: We're looking for a world-class Senior Business Systems Engineer to help redefine how Legal operates. You'll deliver fast, practical solutions using internal tools and agentic AI — owning system and tool changes end-to-end, from design through support. You'll spot what's slowing teams down, champion best practices, and safeguard data integrity across our platforms — all while staying ahead of how AI is reshaping the way we work. This isn't conventional IT or Legal Ops. You'll be embedded directly within our Legal teams, solving real challenges in real time. As a key driver of our Legal Tech strategy, you'll lead the deployment of AI agents, legal application implementations, and automation that

Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team The Finance Operations (FinOps) team provides and enhances core business services that are the backbone of Stripe. FinOps uses data and operational excellence to deliver technology solutions, payroll services, operational excellence, and monetization services to Stripe. What you'll do We're looking for a Monetization Operations Analyst to join our growing team. You'll help us improve user experience through accurate and timely onboarding of contracts and workflows, and deliver improvements in our integrated financial systems with business partners, financial colleagues, and engineers. Responsibilities Onboard sold custom contracts into our billing systems. Work with legal contracts with strong attention to detail and accuracy. Develop and manage scalable billing and collection processes for complex user agreements and new business operations. Build scalable and auditable onboarding processes for new and existing users. Partner with internal systems, global deal management, legal, sales ops, internal audit, go-to-market, engineering, and accounting teams to develop and improve processes for contract reviews and to anticipate changing business requirements. Partner with account managers to resolve user inquiries related to onboarding implementation, billing, and collections. Advocate for the customer to internal stakeholders. Share system feedback and insights with Sales, Product Management, Engineering, Support, and Legal on innovation and im

At Bolna, we’re building tools that change the way teams leverage Voice AI. We’re looking for a Founding Machine Learning Engineer to own the end-to-end lifecycle of building, evaluating, deploying, and improving models that power millions of production conversations. This is a high-impact, high ownership role where you won’t just work on Bolna’s ML stack—you’ll help build the foundation it scales on. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities: Build the data engine - Design pipelines to source and clean conversational voice data across Indian languages, accents, and telephony conditions. Fine-tune models that ship - Fine tune and train models to improve accuracy, speed, and reliability across different use-cases. Define what "good" means - Build evaluation datasets and benchmarks for transcription accuracy, voice naturalness, interruption handling, latency, and end-to-end conversation quality. Set up human-in-the-loop pipelines to capture subjective quality at scale. Ship to production - Work with the engineering team to deploy models into a latency-sensitive, high-volume system. Monitor performance in the wild, debug regressions, and iterate fast. Required Skills: 3+ years of hands-on ML experience with deep practical real-world experience in training models. Strong Python and PyTorch fundamentals with exposure in distributed training, and modern fine-tuning techniques (LoRA, QLoRA, DPO, RLHF, etc.). Training data as a first-class problem. Experience designing data pipelines from collection, cleaning, labeling, deduplication, augmentation and treating data quality as a core engineering discipline. Rigorous about evaluation. You know that "looks good in a demo" is not a benchmark. You build the evals before you trust the model. Speech model experience is a plus with real-time / streaming inference experience where you would have contributed to latency optimization

At Bolna, we’re building tools that change how businesses leverage voice AI. We’re looking for a Software Engineer to build reliable, scalable systems that power millions of production conversations across languages, industries, and telephony environments. This is a high-impact, high-ownership role where you’ll work on core platform problems across distributed systems, real-time communication, developer infrastructure, and customer-facing products. Our team includes IIT alumni with experience at Bain, Atlassian, Uber, Zomato, and LinkedIn, and is backed by leading investors. Responsibilities Build systems that operate at scale: Design and build backend services that support high-volume, real-time voice AI conversations with strong reliability, performance, and fault tolerance. Own features end to end: Take problems from product requirements and technical design through implementation, testing, deployment, monitoring, and iteration. Improve platform reliability: Build systems that are observable, resilient, and easy to debug. Identify bottlenecks, reduce failure rates, and improve system availability. Work on real-time infrastructure: Solve problems across telephony, streaming audio, webhooks, queues, scheduling, concurrency, and low-latency communication. Build for developers and customers: Improve APIs, SDKs, integrations, dashboards, and internal tools that make the Bolna platform easier to use and operate. Raise the engineering bar: Contribute to technical design reviews, code quality, testing standards, documentation, incident response, and engineering best practices. Required Skills Strong engineering fundamentals: Solid understanding of data structures, algorithms, databases, networking, operating systems, and distributed systems. Backend development experience: 2+ years of experience building and operating production backend systems using Python, Go, Java, Node.js, or a similar language. Production ownership: Experience shipping software to production and own

About the Team OpenAI’s Industrial Compute organization is responsible for building and scaling the infrastructure that powers our most advanced AI systems. Through a combination of strategic partnerships and self-built campuses, we are developing data center infrastructure at unprecedented scale and speed. The Data Center Delivery organization works across design, construction, commissioning, operations, vendors, and equipment suppliers to turn infrastructure plans into operational capacity. As projects progress from construction through commissioning and turnover, maintaining accurate equipment information, asset records, schedules, and documentation is critical to ensuring infrastructure is ready to operate and maintain. About the Role We are seeking a Maintenance Analyst to support the build, commissioning, and turnover of large-scale data center infrastructure. This role sits within the build organization and serves as a key connection point between equipment vendors, construction teams, commissioning teams, and the systems used to manage physical infrastructure. The Maintenance Specialist will ensure vendor equipment information is accurately captured, validated, and assigned to the appropriate equipment records, logs, and asset tags as infrastructure is installed and commissioned. In addition to equipment and maintenance data management, this person will provide real-time coordination and scheduling support as construction and commissioning activities progress. This role is well suited for someone who is highly organized, comfortable working with technical equipment information, and able to operate effectively in a fast-moving field environment. Key Responsibilities Own the collection, validation, and entry of vendor equipment information into equipment logs, asset registers, tagging systems, and infrastructure management tools. Maintain accurate equipment records, including manufacturer information, model and serial numbers, location, system association, war

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

About the Team 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

Join the engineering teams that bring OpenAI’s ideas safely to the world!! The Applied Engineering team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth. About the Role As OpenAI continues to grow, we are looking for experienced, problem-solving engineers to ensure our systems scale. Our success depends on our ability to quickly iterate on products while also ensuring that they are performant and reliable. You will work in a deeply iterative, collaborative, fast-paced environment to bring our technology to millions of users around the world, and ensure it’s delivered with safety and reliability in mind. Successful candidates will play a crucial role in ensuring the reliability, scalability, and performance of our systems as we continue to expand. As a reliability expert, you will be at the forefront of maintaining and enhancing the stability, scalability, and performance of our rapidly evolving infrastructure. You will work closely with cross-functional teams, including software engineers, product managers, and data scientists, to build and maintain resilient systems that can handle our growing user base and workload. In this role, you will: Design and implement solutions to ensure the scalability of our infrastructure to meet rapidly increasing demands. Build and maintain the load, chaos and synthetic testing software leveraged by development teams to make the systems they design and operate more reliable. Build and maintain automation tools to streamline repetitive tasks and improve system reliability. Build and maintain the platform for CPU/storage, GPU, and network lifecycle management to drive efficiency, accountability and support dynamic optimization of our resources. Implement fault-tolerant and resilient

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 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

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We are looking for a Staff Engineer to join our Observability team. This role is ideal for a highly technical engineer who thrives on uncovering the truth behind complex system behaviors, diagnosing difficult production challenges, and driving platform-wide improvements. As a Staff Engineer, you will operate as a force multiplier across engineering teams, helping Postman build world-class observability capabilities while improving reliability, performance, and developer productivity. You will partner closely with Infrastructure, Platform, Product, Security, and Data teams to identify systemic issues, establish operational excellence, and ensure engineering teams have the visibility they need to operate at scale. What You'll Do Drive the technical vision and architecture for Postman's observability platform. Design and build scalable solutions for metrics, logging, tracing, alerting, and operational analytics. Investigate complex production issues, identify root causes, and drive long-term corrective actions. Partner with engineering teams to improve service reliability, availability, performance, and operational mat

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. About the Team : The Identity and Access Management team is responsible for building a secure, reliable, and seamless identity platform for all Postman users. This team owns the systems behind authentication, session management, access control, service accounts, invites, and other foundational identity capabilities that power the product. Postman’s identity layer is a critical part of the product experience. It sits on the path of every authenticated request and enables users, teams, and systems to access Postman securely and collaborate effectively. The team works on a mix of core platform improvements, new product capabilities, and reliability/security investments. What You’ll Do: Design, build, and evolve backend systems that power Postman’s identity and authentication platform. Own projects end to end: clarify requirements, drive technical design, implement solutions, manage rollout, and support production. Work closely with Product, Design, and Engineering teams to scope, build, test, and launch new features and platform improvements. Improve system reliability, scalability, observability, and operational readiness for service

Who Are We? Postman is the world’s leading API platform, used by more than 45 million+ developers and 500,000 organizations, including 98% of the Fortune 500. Postman is helping developers and professionals across the globe build the API-first world by simplifying each step of the API lifecycle and streamlining collaboration—enabling users to create better APIs, faster. The company is headquartered in San Francisco and has offices in Boston, New York, Austin, Tokyo, London, and Bangalore - where Postman was founded. Postman is privately held, with funding from Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. Learn more at postman.com or connect with Postman on X via @getpostman. P.S: We highly recommend reading The "API-First World" graphic novel to understand the bigger picture and our vision at Postman. The Opportunity We're looking for a Senior Backend Engineer to help us reinvent Postman's Notifications Platform for the next generation of AI-powered, agent-driven experiences. As Postman evolves to support agents and autonomous workflows, notifications become much more than simple alerts. They need to be contextual, intelligent, reliable, and deeply integrated into how users interact with the platform. You'll play a key role in building the foundation that makes that possible. This isn't a role focused on maintaining an existing system. It's an opportunity to rethink and rebuild a critical platform from the ground up that will power notification experiences across Postman for years to come. You'll have significant influence over the platform's architecture, reliability, and developer experience, working closely with teams across the company to build something scalable, intuitive, and easy to adopt. What You'll Do As a Senior Backend Engineer on the Messaging team, you'll help design and build the next generation of our Notifications Platform. Some of the things you'll work on include: Reimagining the platform to support agentic,

About Ema Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Ema is building the world’s first Universal AI Employee — an agentic AI platform that automates complex, cross-system enterprise workflows end-to-end, with humans in the loop where it matters. Unlike copilots or narrow automation tools, Ema deploys production-grade multi-agent systems that integrate deeply with enterprise SaaS platforms and execute real business processes at scale. Our customers don’t experiment — they replace brittle, manual operations with reliable AI systems that deliver measurable outcomes. Founded by leaders from Google, Coinbase, and Okta , and backed by top-tier investors, Ema operates at the frontier of enterprise AI execution , not demos. With teams across Silicon Valley and Bangalore, we are defining how agentic AI is delivered responsibly, reliably, and at scale. If you care about building and shipping real AI systems that work in production , this role is for you. Who You Are The Customer Engagement Manager owns the delivery and stabilization of Ema’s agentic AI solutions — from commitment through production rollout and steady state. This is not a research role , a support role or a coordination only project management role. You are the delivery leader