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Product Manufacturing Engineer in India

1,485 active opportunities · Updated October 2026

Explore current product manufacturing engineer jobs across India. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 Bengaluru, India· Full-time
✓ Quality checkedCompany trend -74.1%

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. Staff Software Engineer, Life Cycle Management Company Description: Okta is the leading independent provider of enterprise identity. The Okta Identity Cloud enables organizations to securely connect the right people to the right technologies at the right time. With over 6,500 pre-built integrations to applications and infrastructure providers, Okta customers can easily and securely use the best technologies for their business. Over 7,950 organizations, including 20th Century Fox, JetBlue, Nordstrom, Slack, Teach for America and Twilio, trust Okta to help protect the identities of their workforces and customers Position Description: The Okta platform provides directory services, single sign-on, strong authentication, provisioning, workflow, and built in reporting. It runs in the cloud on a secure, reliable, extensively audited platform and integrates deeply with on premises applications, directories, and identity management systems. We are looking for an experienced Staff Software Engineer to work on our Onboarding and Lifecycle Management (LCM) Platform team with focus on enhancing and managing services for importing, syncing and provisioning identities and access policies i.e., users, groups, roles, entitlements, etc. These features allow customers the flexibility to link and enhance their business processes with Okta’s identity management product. This role is to build, design solutions, and maintain our platform for scale. The ideal candidate is s

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📍 Gurugram, India· Full-time
✓ High-confidence listingCompany trend -69.6%

From ₹30.8L/yr

Quick readStrong listing-quality and freshness signals

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 Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales,social, compliance, risk, platforms and partnership & economics. The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimization of performance, experimentation, measuring pre/post feature impact, sizing the ROI of opportunities, prioritization of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing. The Difference You Will Make ACOE is seeking a Lead, Advanced Analytics, Marketplace to help Airbnb enable travel for millions of guests and hosts on our platform. This individual will play a pivotal role in supporting strategic business and product initiatives through detailed data analysis, metrics creation, statistical modeling, and the development of reporting tools and metrics. The individual will be instrumental in driving business and product decisions across topic areas across the company. A Typical Day Design and build metrics / dimensions to monitor product and business performance. Build sophisticated reporting, analytical tools, and dashboards that emp

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📍 Gurugram, India· Full-time
✓ High-confidence listingCompany trend -69.6%

From ₹1.9Cr/yr

Quick readStrong listing-quality and freshness signals

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 Airbnb ACC Enterprise Ops team is a dynamic business unit dedicated to delivering safe, quality stays and exceptional experiences for travelers worldwide. It helps increase supply effectiveness, utilization, and impact using people-powered operations. The Difference You Will Make: As a Supervisor, you will lead a high-performing team that sources, qualifies, and enriches leads to accelerate supply growth in priority geographies and markets. Blending inspirational people leadership with program-management rigor, you will: Maintain a healthy, predictable pipeline of qualified leads Optimize tooling, processes, and KPIs to improve velocity and conversion Surface actionable insights that shape go-to-market and product strategies Foster a culture of inclusion, learning, and operational excellence Your leadership will directly expand Airbnb’s supply and unlock new revenue streams for the business. A Typical Day: A typical day for a Supervisor in a Lead Generation team at Airbnb blends hands-on operational management with program-level thinking to drive supply growth across markets. The role is not limited to tracking daily output. It involves continuously diagnosing performance, improving lead quality, optimizing processes, and aligning with cross-functional stakeholders to ensure that generated leads translate into high-quality hosts on the platform. You are expected to operate both at the execution layer (managing operational metrics) and at a strategic level (building scalable systems, improving conversion funnels, and supporting broader supply growth goals). Review daily per

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📍 Bengaluru, India· Full-time
✓ Quality checkedCompany trend -100%

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 Our mission is to enable effective financial decisions through reliable data, increased efficiency, and automation. We support Marketing, Sales, Seller, Accounting, Tax, Finance and Strategy (F&S), Finance Operations (FinOps), and Treasury functions across automation, data insights, and process improvements. You may work on a wide variety of critical business areas including Seller Systems — Responsible for building the systems and tooling that make sellers and internal revenue teams at Stripe dramatically more productive and effective. We partner with Sales, Finance, Legal, and Product to deliver a single "plane of glass" selling experience that spans deal creation and modeling, negotiation and approvals, contracting, onboarding, and activation. The Seller Systems team composes first‑party, custom Stripe components with best‑in‑class third‑party business systems to deliver configurable, auditable, and globally scalable workflows. Engineers on Seller Systems build services, APIs, integrations, data pipelines, and internal UIs that power seller productivity, reduce time‑to‑activation, improve deal velocity, and enable AI‑driven assistive workflows. Use cases include deal modeling and pricing engines, approval and orchestration platforms, CLM/CPQ integrations, onboarding automation, seller analytics, and AI‑assisted seller tooling. Finance Engineering — Responsible for building the robust and scalable infrastructure that powers

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📍 Bengaluru, India· Full-time
✓ Quality checkedCompany trend -100%

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

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📍 Uttar Pradesh, India· Full-time
✓ Quality checked

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. Job Summary: We are seeking a highly motivated and experienced Team Lead to manage a team of Customer Experience Specialists within our Flights Line of Business. The ideal candidate will have a strong understanding of the travel industry excellent analytical skills, and proven people management abilities. This role is critical in ensuring a seamless and positive experience for our customers booking flights through our platform. Responsibilities: Team Management: ● Supervise, coach, and mentor a team of Customer Experience Specialists [Team of 15 Members]. ● Conduct regular performance reviews, identify training needs, and create development plans for team members. ● Monitor team performance against key metrics (e.g., resolution time, customer satisfaction scores, first call resolution). ● Manage team schedules and ensure adequate staffing levels to meet customer demand. ● Foster a positive and collaborative team environment. Customer Experience: ● Ensure the team provides exceptional customer service across all channels (phone, email, chat, social media). ● Handle escalated customer issues and complex inquiries. ● Identify and address trends in customer complaints and feedback. ● Proactively identify opportunities to improve the customer experience. Operational Excellence: ● Monitor key performance indicators (KPIs) and identify areas for improvement in operational efficiency. ● Implement process improvements and best practices to enhance team productivity and customer satisfaction. ● Collaborate with other departments (e.g., product, engineering, growth and finance) to resolve customer issues and

BA
📍 Bengaluru, Karnataka, India· Full-time
✓ Quality checkedCompany trend -70%

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

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📍 Delhi, Delhi, India· Full-time
✓ High-confidence listingCompany trend -97.3%

From ₹20L/yr

Quick readStrong listing-quality and freshness signals

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

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📍 India· Full-time
✓ Quality checkedCompany trend -97.3%

The Cyber Deployment Manager partners with customers throughout the full lifecycle—from technical discovery and solution design through implementation, deployment, and adoption. You’ll work closely with Sales and Solutions Engineering during the pre-sales process to understand customer security priorities, assess technical requirements, develop solution architectures, and support demonstrations, workshops, and proofs of concept. After a customer commits, you’ll remain engaged as the technical deployment lead, translating the proposed solution into a production-ready implementation. You’ll guide integrations, establish success criteria, manage technical risks, and help customers operationalize AI across security workflows such as secure code review, vulnerability management, threat detection, incident response, SOC operations, and GRC automation. In this role, you will: Lead technical discovery with security executives, practitioners, architects, and engineering teams. Partner with Sales and Solutions Engineering on solution design, demonstrations, workshops, technical validation, and proofs of concept. Translate customer requirements into clear architectures, deployment plans, success criteria, and implementation milestones. Own the transition from pre-sales solution design into post-sales deployment and adoption. Serve as the primary technical partner during implementation, coordinating customer stakeholders and internal Product, Engineering, Security, and GTM teams. Build and troubleshoot integrations involving APIs, agents, security tools, cloud platforms, data sources, and enterprise workflows. Identify deployment risks, technical blockers, and product gaps, and drive them toward resolution. Help customers establish evaluation frameworks, governance controls, guardrails, monitoring, and human-review processes. Measure adoption and business impact, ensuring deployed solutions deliver meaningful security outcomes. Turn successful customer deployments into reusable

AWSRestAIGo
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 Mumbai, India· Full-time
✓ Quality checkedCompany trend -97.3%

About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity. About the Role This role is focused on driving new and expanded advertising revenue in India and ensuring successful business results for advertisers. You will own the full sales cycle — from prospecting to deal closure, developing long-term commercial partnerships to help advertisers achieve their business objectives while ensuring a strong and responsible experience on our platform. You’ll work closely with Customer Success Managers and key cross-functional partners to ensure advertisers achieve successful outcomes after the sale, while maintaining primary ownership of revenue growth and commercial strategy. This role is based in our Mumbai office. 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: Prospect, qualify, and close new advertising opportunities, leading the full sales cycle from initial engagement through contract execution. Own and achieve a defined revenue target within an assigned territory or vertical. Develop and execute structured account plans to drive advertiser ROI and long-term revenue growth. Build and maintain relationships with senior-level advertising decision-makers, delivering strategic guidance and actively gathering their feedback. Structure and negotiate complex commercial agreements. Quantify opportunities through clear, data-driven business cases aligned to advertiser objectives. Lead cross-functional collaboration across Product, Engineering, Marketing, Policy, and Operations to support complex deals. Par

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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 India· Full-time
✓ Quality checkedCompany trend -97.3%

About the Team The Consumer Devices team is building a new generation of AI-native experiences that bring OpenAI’s technology closer to people throughout their day. We are exploring how AI can become deeply integrated into the devices people already use—understanding context, helping users accomplish tasks, coordinating across apps and services, and making use of capabilities that are uniquely available on the device. Our work spans software, devices, platform technologies, and strategic partnerships. We operate as a highly collaborative, fast-moving team focused on turning ambitious ideas into reliable products that can reach people at significant scale. About the Role As an Android Systems Engineer , you will help define and build the Android platform capabilities behind the next generation of AI-powered consumer experiences. This is not a traditional application-only Android role. You will work across the Android stack, using system-level APIs, device capabilities, platform integrations, and OEM-specific functionality to create experiences that would be difficult or impossible to build as a conventional mobile application. You will help determine what becomes possible when an AI assistant is deeply integrated with a mobile device: how it understands what is happening, interacts naturally with the user, connects across apps and services, and helps complete multi-step tasks. You will work closely with product, design, AI, backend, platform, and external device partners to take new concepts from prototype to production. The role requires strong technical judgment, product intuition, and comfort navigating areas where the platform, APIs, and product patterns are still evolving. This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees. In this role, you will: Build deeply integrated Android experiences: Design and implement product experiences that take advantage of Android

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📍 India· Full-time
✓ Quality checkedCompany trend -97.3%

About the Role We are seeking an experienced and versatile India Business Marketing Lead to drive OpenAI’s enterprise and B2B marketing strategy in India. This is a critical leadership role for a full-stack B2B marketer with strong India market judgment—someone who can operate across enterprise, startup, developer, and partner audiences, build foundational capabilities, and deliver high-impact programs that support revenue growth and long-term trust. This role will be responsible for shaping and executing integrated B2B marketing initiatives that support enterprise adoption, partner-led growth, startups, and developer-adjacent business audiences in India. The ideal candidate brings deep experience working with sales-led GTM teams, navigating complex stakeholder environments, and translating global strategy into locally effective execution for India. The preferred location for this role is Mumbai . In this role, you will: Lead the development and execution of India B2B marketing strategy, aligned with global priorities and India GTM objectives. Drive full-funnel B2B marketing programs across field marketing, content, customer marketing, events, executive engagement, and partner marketing. Partner closely with India GTM, Partnerships, Product Marketing, Comms, and Global Affairs to deliver integrated programs that support enterprise adoption and pipeline growth. Translate global B2B narratives and launches into India-relevant, market-specific execution across enterprise, startup, developer, and partner motions. Establish strong India marketing operating rhythms, including planning cycles, agency management, budget oversight, performance measurement, and reporting. Act as the India voice for B2B marketing, bringing market insight, customer perspective, trust signals, and local nuance into global strategy discussions. Build and scale foundational B2B marketing capabilities in India, with an eye toward future team growth and specialization. You might thrive in this role

AWSRestAIRust
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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 India· Full-time
✓ Quality checkedCompany trend -97.3%

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

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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 India· Full-time
✓ Quality checkedCompany trend -97.3%

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

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Relocation support. Relocation assistance is stated. This does not establish visa sponsorship.
📍 India· Full-time
✓ Quality checkedCompany trend -97.3%

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

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