Enterprise Context Architect in India

Manage site security operations in harmony with business objectives and Security Strategy Roadmap at major sites  Protect enterprise wide infrastructure to ensure business continuity, creating a safe environment for all employees and stakeholders and ensuring enhanced security and personal safety of “designated protectees”  Address fraud & misconduct through a well-established framework to prevent, detect, respond, and refine strategies and methodologies.  Identify potential threats and calibration of risks from detailed security risk assessments to eliminate, reduce or mitigate risks.  Responsible for ensuring security and protection of tangible and intangible assets, at the site  Responsible for managing security related automation and infrastructure projects Source: Adani Group | Job ID: 49655

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an exceptional Customer Success Manager with deep expertise in the French public sector and government landscape to lead our most strategic government accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of French government organizations. What You'll Do Strategic Customer Partnership: Own the success, adoption, and growth of Cohere's French public sector customers, ensuring they realize maximum value from our AI solutions Build deep, trusted relationships with senior French government stakeholders, including Ministres d'État, Préfets, CIOs, digital transformation leads, and ministerial executives Develop comprehensive success plans tailored to each organization's mission, digital strategy, budget cycles (lois de finances), and unique constraints Serve as the primary point of contact and executive sponsor for your accounts, managing escalations and ensuring customer satisfaction Define and track success metrics aligned with French public sector priorities: citizen satisfaction, service delivery improvements, cost savin

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why this role? As a Member of Technical Staff on our Applied ML team, you will work directly with customers to quickly understand their greatest problems and design and implement solutions using Large Language Models. You’ll apply your problem-solving ability, creativity, and technical skills to close the last-mile gap in Enterprise AI adoption. You’ll be able to deliver products like early startup CTOs/CEOs do and disrupt some of the most important industries and institutions globally! As a Member of Technical Staff, you will: Plan and execute large-group projects that carry through from ideation to production. Bring cross-functional alignment across engineering, product and other disciplines. Mentor a distributed team of engineers in subject matter expertise. Identify opportunities and gaps in existing models and strategize what to work on. Work closely with product teams to develop solutions. Engage in collaborations with our partner organizations. Assist our legal teams with preparation of patents on developed IP. Join us at a pivotal moment, shape what we build and wear multiple hats! You may be a good fit if you have: Prio

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why This Role? We're seeking an exceptional Customer Success Manager with expertise in the Montreal, Canada, private sector landscape to lead our most strategic commercial accounts. This role requires an individual who understands both the transformative potential of frontier AI and the unique requirements of organizations in a dynamic, fast-paced environment. You will be the trusted advisor and strategic partner for a wide range of private sector organizations, including large enterprises, startups and scaleups, as they navigate the complex journey of AI adoption. You'll guide organizations through the implementation of frontier AI in secure, regulated environments—ensuring solutions deliver a measurable impact while meeting stringent security, privacy, compliance, and ethical requirements. In this role, you'll collaborate with our Strategic Customer team, Applied ML (AML) Engineering, Forward Deployed Engineering (FDE), Platform, Product, and Go-to-Market teams, serving as the voice of the customer internally and the face of Cohere externally for our most sensitive and high-impact commercial engagements. You'll have the unique

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Technical Revenue Manager Multiple Locations (San Francisco, New York, Toronto, Remote) • Full time • Hybrid/Remote Cohere is at the forefront of AI innovation, building cutting-edge language models and AI systems. Our Finance team plays a critical role in supporting our rapid growth and ensuring operational excellence. We value technical expertise, collaborative problem-solving, and a commitment to accuracy and compliance. This role offers the opportunity to make a significant impact on our financial infrastructure while working at the intersection of finance and transformative technology. As we scale our business and navigate an evolving revenue landscape, we need a Technical Revenue Manager to own complex revenue technical positions for AI-native companies, ensuring robust revenue recognition frameworks that support our innovative product offerings and monetization strategies. Key Responsibilities: Own complex revenue technical positions for AI-native companies, focusing on high-impact revenue recognition projects that elevate our accounting and reporting capabilities Analyze and implement accounting treatment for complex rev

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. Summary The AI/ML Flex Solution Engineer (SE) is a high-impact, customer-facing technical role supporting AI/Machine Learning (AI/ML) initiatives across our strategic US Major Accounts. This role is designed for a technical professional who possesses a strong foundation in AI/ML concepts, technologies, and solution architecture, positioning them above a generalist but not necessarily requiring deep specialization (Level 200-300 technical depth). The Flex SE will act as a critical, hands-on technical resource, accelerating customer adoption and success. This role translates business challenges into AI/ML- driven solutions through the rapid development of MVPs and prototypes, supporting our regional SE teams, and driving growth in this strategic area. The AE and SE maintain ownership and ultimate approval over the account strategy. The Flex SE role is designed to be supportive, not to supersede their authority. The RVP should provide prescriptive guidance on which accounts the Flex SE should prioritize, as the RVP possesses the most comprehensive regional overview. Key Responsibilities and Scope Technical Leadership & Solutioning Partner with regional Account Executives (AEs) and Solution Engineers (SEs) to identify, qualify, and develop AI/ML opportunities within USMajor

About the Role OpenAI’s Applications organization spans several rapidly scaling businesses across Consumer, Enterprise, Developers, and Hardware. As OpenAI expands globally, the international business is becoming an increasingly important driver of growth, requiring deeper financial visibility, regional coordination, and market-specific investment decision-making. We are hiring a senior Strategic Finance thought partner to work closely with the Business Finance Officer (BFO), regional leadership and other Strategic Finance teams to drive the financial performance of OpenAI’s international business. This role operates at the intersection of strategy, finance, and operations. You’ll help leadership understand regional performance drivers, allocate investment effectively across markets, and ensure the organization scales globally with strong financial discipline. You’ll also focus on the highest-leverage international priorities: building financial visibility across regions, improving operating rigor, identifying growth opportunities and risks, and ensuring alignment across regional leaders and central functional teams. This role is based in our San Francisco HQ. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Periodic international travel is expected, with potential opportunities to live and work from one of our regional offices over time. In this role, you will: Own financial visibility and performance management across OpenAI’s international business, including regional revenue, growth, investment efficiency, and operating metrics. Partner with regional leaders and functional teams to identify opportunities, risks, and operational bottlenecks across key international markets. Support international expansion planning by helping evaluate market opportunities, investment priorities, and regional scaling strategies. Develop executive-level reporting and financial narratives to help leadership understand inter

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. About Snowflake Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. This role requires in-person attendance in our Pune office at least 3 days per week. Job Description We are looking for an Analytics Engineer to join our growing Finance Analytics Engineering team. In this role, you will drive value and empower decision-making by developing and maintaining the data infrastructure which fuels reporting and analysis for the Finance organization and has a direct impact on Snowflake’s success as a company. As an Analytics Engineer, you will be responsible for the following: Use SQL, Python, Snowflake, dbt, Airflow, and other systems while working within an agile development model to build and maintain data infrastructure for use in reporting, analysis, and automation Perform data QA and develop automated testing procedures for use with S

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 Snowflake Openflow team is building Snowflake’s next-generation open, extensible, and secure data integration platform for real-time, scalable, bi-directional data movement, powered by Apache NiFi. We enable customers to move structured and multi-modal unstructured data across any source and any sink—Snowflake and non-Snowflake alike—through a single, cloud-native platform that supports batch and streaming, and flexible runtimes spanning Snowflake-managed (SPCS) and Bring Your Own Cloud (BYOC) data planes. Our team includes original creators and core contributors to Apache NiFi and industry leaders in data integration, now focused on bringing NiFi’s proven strengths—visual flows, rich connectors, and powerful routing—to Snowflake’s AI Data Cloud at enterprise scale. We work end to end across high-performance runtimes, and curated connectors, partnering closely with product, field, and open-source communities to help customers continuously ingest data, power AI and analytics workloads, and make smarter decisions in real time. As a Software Engineer on the Snowflake Openflow team, you will: Design and implement features in Openflow’s control plane and data plane , contributing to reliable, scalable, and secure services that power real-time, bi-directional data movement fo

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. 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’re at the forefront of the data revolution, committed to building the world’s greatest data and applications platform. Our ‘get it done’ culture allows everyone at Snowflake to have an equal opportunity to innovate on new ideas, create work with a lasting impact, and excel in a culture of collaboration. Snowflake partners, from System Integrators (SI), Cloud Service Providers (CSP) and Technology Partners (ISV) are an integral part of Snowflake business to help customers unlock Power of Snowflake AI Data Cloud. We are seeking a highly motivated and proactive individual to drive the technical growth in this Partner ecosystem. This role demands a technical expert capable of driving success by aligning with key programs and significantly enhancing partner knowledge of crucial product features. The candidate must effectively present to both technical and executive audiences, utilising methods from whiteboarding to presentations and demonstrations, to cultivating strong mind share among Snowflake Partn

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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

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. We are hiring a Senior Security Engineer, dedicated to Product Security Incident Response. In this role, you will lead and architect Snowflake's product-integrated Incident Response strategy, with a primary focus on AI and LLM security. You'll design, plan, and drive the implementation of incident response capabilities across Snowflake's AI product surface - including Cortex AI, Cortex Agents, Snowflake Intelligence, and the data pipelines that power them. AS A SENIOR SECURITY ENGINEER, AI INCIDENT RESPONSE AT SNOWFLAKE, YOU WILL: Lead incident response for product-level security events, with deep focus on AI-specific threat vectors including prompt injection, model abuse, agent hijacking, and data exfiltration through AI workloads. Integrate IR into AI product pipelines - work directly with teams shipping Cortex features, Snowflake Intelligence, and AI-powered developer experiences to embed security requirements from design through deployment. Develop and codify our AI abuse response strategy - defining detection, containment, and remediation playbooks for LLM misuse, adversarial inputs, and AI-assisted attacks targeting Snowflake customers. Address tech debt across the AI product stack, ensuring that new Cortex and agentic architectures meet IR readiness requirements from

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 started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. Join the Data Engineering Experience (DEX) team and help shape the future of data engineering at Snowflake. We are a mature, highly diverse team dedicated to crafting exceptional data ingestion, pipeline authoring, and observability experiences for our customers. If you're passionate about building elegant web applications and frameworks in a collaborative, supportive environment, then we invite you to be part of our team's success story. AS A SOFTWARE ENGINEER FOR THE DATA ENGINEERING EXPERIENCE TEAM, YOU WILL: Drive high impact initiatives that span our product areas and tech stack including Python, Typescript, Javascript (React), and NodeJS. Promote strong collaboration within a cross functional team and partner closely with embedded product managers and designers. Deliver featur

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’s cloud spend is in billions of dollars per year. Hence, it is critical for us to govern and optimize our cloud spend, both for margins and long-term competitive advantage. Cloud Efficiency team’s charter is to build scalable products that enable governance, monitoring and optimization of cloud spend. Think of this as Observability for cloud costs and efficiency. The team’s vision is to “Transform cloud spend into a competitive advantage by empowering teams to continuously optimize the per-unit cost.” In order to improve the overall cloud efficiency (i.e. cost per unit), it is critical to build monitoring products that collate costs with other factors such as utilization, attribution, hardware performance and architecture. Hence, there is an opportunity to build a unified, self-serve cloud efficiency product across Snowflake, that delivers actionable, real-time efficiency datasets through streamlined user experiences. This will enable thousands of engineers at Snowflake and will elevate cloud efficiency at Snowflake for long-term success. When developing these solutions, we think about the problem end-to-end: how do we collect data from different stacks (e.g. costs from AWS, GCP, Azure and CPU, Memory, Utilization) across Snowflake reliably, how do we store it eff