Lead Expert in India

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 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 is based in Stockholm, Sweden. 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 tea

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 is based in Madrid, Spain . 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 Supp

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

About the Team The Integrity team builds the systems OpenAI uses to understand, prevent, and respond to misuse across our products. We partner with Product, Policy, Safety Systems, User Operations, Security, Legal, Privacy, OpenAI for Government, and research teams to turn policy and threat models into product controls, review workflows, measurement systems, and enforcement paths. About the Role We are hiring a Senior Engineering Leader for Integrity's engineering efforts for Sensitive Deployments where model capabilities, customer requirements, deployment environments, privacy considerations, and misuse risks raise the operating bar significantly. These include hyperscaler and government deployments and other high-stakes environments, regulated and high-trust enterprise settings, zero data retention and privacy-constrained deployments. The workloads are increasingly agentic where harm can emerge across a sequence of actions rather than a single prompt. The Sensitive Deployments Engineering Manager will focus on high-consequence use cases relevant to government deployments and broader deployment-readiness questions for high-risk domains (e.g., healthcare), while building reusable Integrity capabilities for agentic detection and enforcements in these environments. We're looking for a hands-on engineering leader to guide a team of senior engineers working on OpenAI's most critical deployments. They will lead both the people and technical execution of the team: hiring and developing engineers, setting a high technical bar, and driving ambiguous, high-priority initiatives from early problem definition to durable production outcomes. They will partner closely with Product, Research, Security, Global Affairs, Sales, Solutions, and customer technical teams, while going deep on architecture, infrastructure, and model behavior when needed. In this role, you will: Lead and grow a team of engineers responsible for complex, high-impact deployments of OpenAI technology in sensit

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

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

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role We are looking for a motivated Account Executive Lead with an entrepreneurial and building spirit to join the GTM Sales Team. You and your team is instrumental in helping build pipeline, generate revenue, and expand our most strategic customers. As an Account Executive Lead, you and your team will play an important role defining/iterating on our sales motions, providing customer feedback to help share our roadmap, and generating revenue to grow our sales business. You will own the strategy and execution of your team’s territory. What You'll Achieve Lead a team of Account Executives who handles full cycle sales activities, including: prospecting/building pipeline, developing new potential accounts, expanding existing customers, and renewing an install base Own the strategy of your team’s territory, including how the team maximizes the revenue it is generating and retaining Own the execution of your team’s strategy, including the team forecast and pipeline generation Work with cross functional partners to build playbooks and define our sales motion Liaise with our incredible user base to provide world class customer expe

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About The Role: The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them. This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role. What You'll Achieve: Own the commercial performance of your team across new logo ARR, expansion ARR, and UBP outcomes—accountable for both the headline numbers and the quality of execution that drives them Coach SCs on the GTM builder motion: what great looks like in a first meeting (workflow diagnosis, current

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role We’re looking for a Head of Total Rewards to make compensation and benefits a true talent-density lever at Notion. This role will be part of the People Leadership Team and will report to our Chief People Officer. This is not a “run the standard comp playbook” role. You’ll reimagine our total rewards philosophy for a new era: one where Notion is scaling fast, operating in a highly competitive market, and building AI into how work gets done. You’ll bring the vision and craft to transform how we design, communicate, and operationalize total rewards - so our programs are clear, fair, competitive, and set the foundation for a pay-for-performance culture that motivates our people to go above and beyond. You’ll lead a team across compensation, equity, and benefits, and you’ll be a key partner to the C-Suite, Finance, Recruiting, and our Compensation Committee. Executive compensation is a core part of the scope, as is building the operating system (tooling, data, processes, governance) that lets us move with speed and precision as we grow - while staying thoughtful about risk, compliance, and scale. We’re looking for a high-ag

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. Who you are We're looking for an innovative and passionate Machine Learning Engineers to join our team. You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions. You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact. You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related Machine Learning technologies. Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact. You will: Conceptualize, develop, and deploy machine learning models that underpin our NLP, retrieval, ranking, reasoning, dialog and code-generation systems. Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems. Lead the processing and analysis of large, complex datasets (structured, semi-structured, and

About Paytm Lending Paytm’s Lending marketplace connects millions of consumers and merchant partners with top NBFCs and banks across Personal Loans, Merchant Loans, Postpaid, and Credit Cards. We build cutting-edge financial products powered by real-time risk modelling, seamless distribution, and high-volume transaction processing. Role Overview We are seeking an energetic, analytical, and business-focused Manager – Business Finance to join our Lending Finance team. In this role, you will act as a key financial partner to business leads, product managers, and risk teams across Personal Loans, Merchant Loans, and Credit Cards portfolios. You will be responsible for driving financial planning, developing bottom-up revenue models, tracking portfolio yields/costs, and delivering actionable insights to the CFO and CEO to maximize profitability and operational efficiency. Key Responsibilities 1. Revenue Modelling & Portfolio Economics - Build, maintain, and refine end-to-end financial & revenue models for lending products (Merchant Loans, Personal Loans, Postpaid). Model monthly/daily interest accruals, processing fee (PF) yields, First Loss Default Guarantee (FLDG) provisions, collection costs, and Cost of Funds (COF) across diverse lender partners. - Conduct scenario modelling (AOP vs. Actuals, MBR updates, Team Plans) to assess the impact of take-rate changes, volume mix shifts, and credit policy tightening. 2. Business Partnering & Decision Support - Act as a co-pilot to Business Heads to evaluate new commercial constructs, lender tie-ups, and product feature launches. - Analyze unit economics (Revenue per Disbursed/Booked Card, Net ROI, Take Rates, Risk-Adjusted Returns) at a product and lender level to guide business strategy. - Analyze risk vs. return trade-offs (GCL vs. Net ROI) across partner lenders to optimize portfolio allocation. 3. Financial Planning & Analysis (FP&A) - Lead the Annual Operating Plan (AOP) creation, monthly business reviews (MBR), and q

Client Onboarding Director, Inference and Agentic AI Location: Noida Company: Paytm About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Delivery Ownership and Implementation Governance Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope

About Paytm Paytm is a pioneer of digital payments in India, serving over 450 million consumers and 45 million merchants across payments, financial services, and commerce. Over the years, Paytm has built deep in-house capabilities across technology, data, and operations to operate at scale with high reliability. Paytm is building a full stack AI platform focussed on Inference and Agents, enabling large enterprises to deploy AI driven automation across sales, service, operations, and analytics. The Inference and Agentic AI team operates as a cross functional unit spanning engineering, product, data science, business management, and sales, and owns the full lifecycle of AI solutions from opportunity discovery to deployment and scale. Role Overview Paytm is looking to hire a Client Onboarding Director to own implementation delivery and client onboarding governance for Paytm’s AI Inference and Agentic AI products across enterprise clients. This is a managerial role that will lead Client Onboarding Managers and ensure that enterprise deployments move smoothly from sales closure to go live and early adoption. The role sits at the intersection of client teams, product, engineering, business, and sales, and is responsible for converting signed enterprise deals into successful, timely, and scalable deployments. The candidate will own delivery planning, integration governance, risk management, stakeholder communication, and post go live stabilization across enterprise AI agent deployments. The role requires strong program management, technical understanding, client handling, and ability to drive execution across multiple internal and external teams. Key Responsibilities Own end to end delivery governance for enterprise AI agent deployments from sales handoff to go live and stabilization. Lead the implementation planning process across scope, timelines, milestones, dependencies, risks, and success metrics. Ensure every enterprise deployment has a clear project plan, own

Location: Remote, India At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our team As a Senior Manager of Site Reliability Engineering, you will lead GoDaddy's SRE Center of Excellence in India. You will hold a senior role in the overall engineering leadership team. You will support GoDaddy's growth of its engineering footprint in India and develop a high-performing, cross-time-zone, globally unified SRE team. The object