Customer Operations Leader in India

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil

About the Team OpenAI’s HLS AI Success Engineering team partners with the world’s most ambitious healthcare and life sciences organizations to translate cutting edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption. Our work spans technical integration and enablement, workflow transformation, and sustained program and product delivery. Our customers range from fast-growing healthcare and life sciences innovators to the world’s largest biopharma, medical technology, healthcare provider, payer, and research organizations. Every engagement is an opportunity to shape how AI accelerates scientific innovation, transforms healthcare delivery, and improves patient outcomes.This role sits at the center of our mission. About the Role The AI Success Engineer role is the primary post-sales point of contact for OpenAI’s most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers with OpenAI’s ambitiously growing platform. This role blends technical depth, program management, customer advisory, and product influence. You will partner deeply with customer teams, map workflows, lead configuration, oversee deployment plans, and guide customers toward high impact use cases that showcase the full value of our platform. You will work closely with Sales, Solutions Architecture, Product, and Research to ensure the customer experience is connected and successful across every touchpoint. Success in this role means accelerating adoption, increasing customer activation depth, guiding strategic use cases that get to production, and helping customers demonstrate tangible impact. This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S. We also provide relocation support for new employees. In this role, you wil

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Dublin Office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflo

About the Team The Solutions Engineering team is made up of trusted technical advisors who help organizations adopt OpenAI’s technology safely, effectively, and responsibly. We partner closely with customers, Sales, Product, Engineering, and Security to translate frontier AI capabilities into practical workflows that create real-world impact. Cybersecurity is one of the most urgent areas where AI can help. As frontier models become more capable at reasoning over code, logs, infrastructure, and security evidence, organizations need guidance on how to evaluate, validate, and deploy these systems safely. Our goal is to help customers move from identifying risks to implementing solutions. About the Role We are committed to bringing together people from diverse backgrounds and perspectives who are excited to help build and deploy safe, useful AI. We are seeking a solutions engineer to partner with our Enterprise customers and ensure they achieve tangible business value from our models through the OpenAI suite of products. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with Enterprise Sales, Security, and Product teams. We are looking for a Field Security Specialist to help security leaders and hands-on practitioners understand how OpenAI models, APIs, Codex, and agentic workflows can be applied to real cybersecurity use cases. This is a customer-facing specialist role for someone who can move fluidly between CISO-level conversations, practitioner-level technical depth, and hands-on solution design. You’ll help customers evaluate OpenAI for workflows like secure code review, vulnerability triage, threat modeling, remediation, SOC workflows, detection en

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Singapore office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity work

About the Team The AI Deployment Engineering team is responsible for helping developers and enterprises safely and effectively deploy OpenAI technologies in production. We act as trusted technical advisors and thought partners for customers, working side by side with their teams to identify high-value use cases, design practical architectures, and move from prototype to durable deployment. Cybersecurity is one of the most urgent domains where AI can help. Security teams are under pressure to reason across code, logs, infrastructure, tickets, alerts, and vulnerability data faster than ever. As frontier models become more capable, organizations need deep technical guidance on how to evaluate, validate, and safely deploy AI systems in security-critical workflows. About the Role We are looking for a Cyber AI Deployment Engineer to partner with customers and help them apply OpenAI models, APIs, Codex, and agentic workflows to real cybersecurity use cases. You will work with CISOs, security executives, application security leaders, SOC teams, security engineering teams, and hands-on practitioners to identify where AI can create measurable security outcomes. This is a customer-facing technical role for someone who can move fluidly between executive strategy, practitioner-level cyber depth, and hands-on solution design. You will help customers evaluate and deploy workflows such as secure code review, vulnerability triage, threat modeling, remediation, SOC and incident response workflows, detection engineering, cloud security, GRC automation, and security validation. You will collaborate closely with Sales, Solutions Engineering, Product, Engineering, Research, and Security to turn customer needs into safe deployment patterns, reusable field assets, and product feedback. This role is based in our Tokyo office. We offer relocation support to new employees. In this role, you will: Deeply embed with strategic customers as the technical lead for AI-enabled cybersecurity workflow

About the team The Applied team at OpenAI safely brings cutting-edge technology to the world. We have released widely used products such as ChatGPT, Sora, and the OpenAI API, powering models including GPT-5 and a growing set of multimodal capabilities across text, image, audio, and video. Our team also manages large-scale inference and platform infrastructure that supports these experiences at global scale. With much more on the horizon, our impact continues to grow. Our customers build fast-growing businesses using our APIs, unlocking product capabilities that were previously unimaginable. ChatGPT and Sora exemplify the breadth of what’s now possible across text, image, audio, and video experiences. As these capabilities expand, we prioritize the responsible use of our technology, emphasizing safe and thoughtful deployment over unchecked growth. Within Applied Engineering, the Financial Engineering team builds the frontend platforms and workflows that power how OpenAI’s products are priced, purchased, and managed at scale. We work closely with Go-To-Market and Finance partners to translate complex commercial requirements into clear, reusable billing experiences. We’re looking for a frontend engineer to help define and evolve these billing platforms, shaping the primitives, interfaces, and patterns that product teams rely on as our offerings and customer needs continue to grow in complexity. In this role, you will: Create scalable, reusable UI components and patterns that support a wide range of billing use cases across products. Partner closely with backend engineers to deliver end-to-end billing capabilities spanning subscriptions, usage-based pricing, and enterprise offerings. Build tools and surfaces that allow teams like Finance, Sales, Support, and GTM to manage and reason about billing data efficiently. Create AI powered features for billing workflows and platform tooling to automate repetitive tasks, surface insights, and improve decision-making. Help define

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. In this role, you will: Collaborate with the sales leadership to understand customer requirements and enable technical solutions deployment based on customer needs. Develop an in-depth understanding of Ema’s technology and underlying architectures Deliver compelling product demonstrations tailored to the specific needs of potential customers, showcasing key features and benefits. Work closely with customers to execute successful PoCs, demonstrating the feasibility and value of Ema in their environment. Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes. Collaborate with customers to design and architect solutions that align with their business goals, ensuring seamless integration with existing systems. Drive project teams towards common goals of accelerating the adoption of Ema’s solutions. Demonstrate and communicate the value of Ema’s solution throughout the engagement, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders. Help take Ema’s solution from POC to production. Understand customers cloud/on-prem environment and their unique needs f

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. In this role, your work will involve: Product Strategy & Vision: Define and communicate the product strategy and roadmap based on market trends, customer needs, and company goals. Work closely with senior management and stakeholders to align the product strategy with business objectives. Market & User Research: Conduct market research and competitor analysis to identify opportunities, gaps, and market demands. Understand customer needs and translate them into product requirements. Define user personas and use cases to ensure products meet user expectations. Product Development: Collaborate with engineering, design, and marketing teams to deliver products that are functional, user-friendly, and aligned with business goals. Prioritize product features, enhancements, and bug fixes based on customer feedback, technical feasibility, and business impact. Manage the product development lifecycle, including setting timelines and milestones. Cross-Functional Collaboration: Work closely with cross-functional teams (sales, marketing, customer support) to ensure successful product launches. Communicate progress, roadblocks, and product updates with stakeholders and teams across the org

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 and Bangalore, 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 The ideal candidates will be responsible for identifying, engaging, and qualifying potential customers. You’ll play a pivotal role in expanding our customer base by connecting enterprise organizations with our enterprise sales team. We’re looking for SDRs who can produce, learn quickly, and adapt to a variety of solutions and outreach methods. We want someone who is driven, eager to learn, and willing to put in the time to make Ema successful. Responsibilities: To create qualified opportunities for the sales team. Use different outreach methods to engage our ICP(LinkedIn, Email sequencing, cold calls.) Work closely with marketing, drive attendance to webinars, follow up with attendees, help set up meetings for our sales teams at different events. Work closely with sales to help book meetings for targeted accounts Own your book of business (Know your metrics, SQL’s value, and assigned solutions) Qualifications: Minimum of 3 years of experience in a Sales/Business Development or similar role, ideally in SaaS or technology-driven companies. Proven track record of successful lead generation, qualification, and pipeline management. Has experience selling platfo

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. The role “The ideal forward deployed builder is a composite. Not a software engineer, not a product manager, not a solutions architect or a salesperson — but able to draw on any of these to solve the customer’s problems, in the customer’s building, on the customer’s timeline, against the customer’s data.” Ema is building the Universal Agentic Control Plane — the layer where enterprises turn messy, human-run business processes into AI Employees that actually do the work. The platform is powerful. The bottleneck is people who can walk into a customer’s world, see what should be automated, and make it real. That’s this role. We’re looking for a Forward Deployed Builder to embed inside our customers and partners, find the highest-value opportunities for agentic automation, solution them, build the demo, win the deal, and then stay to implement it in production. You go in alone, Rambo in the jungle, armed with your wits, your skills, and the most powerful agentic platform on the market. We’ll train you hard before you deploy. After that, the territory is yours. This is not a support role behind an account team. You are the account team, the solutions architect, and the builder, compress

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is about empowering enterprises to achieve their full potential, and people too. With a culture that's all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology and careers to the next level. We are hiring a Vice President, SE - Majors to lead the Solution Engineering organization that partners with our Majors accounts, some of the largest and most strategic enterprises in our portfolio. This leader owns the technical win across the Majors segment, building and scaling a world-class SE team that turns complex data and AI challenges into measurable customer outcomes on the Snowflake AI Data Cloud. It is a chance to shape how our most important customers adopt agentic and generative AI, and to influence product direction at the highest levels of the company. AS A VICE PRESIDENT, SE - MAJORS AT SNOWFLAKE, YOU WILL: Lead, hire, and develop a multi-layer Solution Engineering organization supporting Majors accounts, including SE directors, managers, and principal-level individual contributors Own the technical strategy for the Majors segment, aligning SE resources to revenue goals in close partnership with Sales leadership on the largest enterprise opportunities Set the vision for how Majors custome

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Commercial Account Executive is responsible for building Commercial-level client relationships within the Bangalore market. Individuals who excel at this job have the ability to prospect, develop, and close business within a timely manner while focusing on the clients' requirements. The Commercial AE must have the confidence and ability to negotiate and close agreements with clients and support new customers through our onboarding process. This role is a unique opportunity to contribute in a meaningful way to high visibility, high impact projects at a very exciting time for the company. Snowflake is an innovative, high-growth, customer-focused company in a large and growing market. If you are an energetic, self-managed professional with experience managing a complex sales process and possess excellent presentation and listening skills, organisation and contact management capabilities, we'd love to hear from you. AS A COMMERCIAL ACCOUNT EXECUTIVE, YOU WILL: Achieve sales quotas for allocated accounts on a quarterly and annual basis by developing a sales strategy in the allocated territory with a target prospect list and a regional sales plan Develop marketing plans with the marketing team to drive revenue growth Be the trusted advisor to the customer by understanding the

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. As an Account Engineer , you’ll play a key role in delivering technical expertise and building relationships with prospects and customers as they explore the Snowflake AI Data Cloud. This is a fantastic opportunity to grow your career, develop your skills, and make an impact in a supportive and dynamic environment. You’ll work alongside experienced team members, contributing to a variety of customer engagements, from technical evaluations to inspiring future-state architectures. This role blends technical problem-solving, collaboration, and customer focus, making it an exciting step for someone looking to grow into a technical customer-facing role. What You'll Do: Support Customer Engagements: Assist in presenting Snowflake’s technology and vision to diverse audiences, from technical contributors to business leaders. Develop your skills in aligning technical solutions with business outcomes. Contribute to Technical Wins: Collaborate with customers to plan and execute technical evaluations and proof-of-concept demonstrations, supported by senior team members. Help tailor solutions to customer needs while learning how to communicate business value effectively. Learn & Build Relationships: Partner with customers and technical champions to foster trust and collaboration. Bu

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is experiencing rapid growth, and we are expanding our Alliances team to support this scale. As a Sr. Partner Development Manager for ISV Tech Partners, you will play a crucial role in building and managing strategic partnerships with external organizations that build products on top of Snowflake. The ideal candidate will have a strong background in business intelligence, analytics pipelines, and data applications, along with exceptional leadership and communication skills. This position offers a unique opportunity to work for an innovative company and to lead our strategic partners within the ISV partner ecosystem. IN THIS ROLE YOU WILL HAVE: Execution - Driven Mindset: Proven ability to deliver results by aligning internal and partner stakeholders across all levels—from C-level executives to individual contributors (ICs)—in sales, marketing, and product teams to achieve partnership goals. Enterprise Data Platform Customer Focus: In-depth understanding of customer needs and priorities within enterprise Data Platform leadership. Relationship Management at Scale: Expertise in building and maintaining impactful relationships across diverse teams and stakeholders. Enterprise Sales Mindset: Hands-on experience driving GTM initiatives and achieving measurable outcomes.