Azure Senior Data Cloud Architect Jobs

SingleStore is hiring a Partner Operations Manager to own and optimize operations for our channel and indirect revenue business, supporting our partner and reseller ecosystem. As a critical member of the GTM (Go-To-Market) Operations team, you will be responsible for owning the processes, systems, data, insights, and governance that enable and optimize our partner business, working closely with Partner/Channel leadership, Sales, Finance, Legal, and RevOps. The ideal candidate will ensure that partner deals, marketplace transactions, reseller agreements, and partner fees are executed accurately, efficiently, and in line with our GTM strategy, while providing visibility into performance across the partner ecosystem. This is a highly visible, hands-on role for someone who understands the indirect revenue business and wants to make a significant impact at a fast-growing software company. What You’ll Do: Own the day-to-day operational support for partner, channel, and reseller motions (deal registration, approvals, pricing, workflows, agreements, exception handling) Partner with leadership to operationalize partner programs and tiers (benefits, discounts, incentives, requirements) and ensure they are reflected accurately in systems and processes Maintain and execute reseller agreements, including standard and non-standard terms impacting bookings, margins, and commissions Create and maintain internal and external documentation and training on partner processes (deal reg, marketplace flows, fees, approvals) ensuring clarity for internal teams and partners Support joint solution and co-selling motions between direct sales and partners, ensuring clear rules of engagement and attribution Serve as a key business owner for partner-related data, processes, and systems (Salesforce, CPQ, partner portals, co-selling tools, marketplace integrations) Support the operational workflows for marketplace transactions (AWS, Azure, GCP), including offer creation, credit/ license allocation

About the Team Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role Our technologies support some of the most important and impactful work in the world, including our strategic and high-impact customers in the public sector. As a Forward Deployed Security Engineer (FDSecE) you will be responsible for securing these novel applications of OpenAI’s technology. We’re looking for motivated, tenacious, and curious people who will work closely with engineering teams to ensure our infrastructure deployments are highly secure against our adversaries. As an FDSecE, you will embed directly throughout the lifecycle, working on-site and being hands-on to ensure the overall security of these deployments from design to production and through ongoing operations. This role is preferred to be based in Washington DC but may consider remote work. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel to and working from customer sites is required for this role. In this role, you will: Deeply embed with our most strategic public sector customers to implement and maintain robust security controls. Be a design and technical thought partner by leveraging security expertise on protective controls including access controls, authentication, encryption, network, and system security. Collaborate closely with teammates, cross-functional teams, customers, and service providers to achieve security and compliance goals. Ensure continuity of critical security and monitoring c

GAQ127R40 Team: IT Infrastructure and Operations About the Role At Databricks Information Technology, we are a product-led organization transforming how we work—from the ease of using our IT services to the applications we develop to scale seamlessly during rapid growth. As a Site Reliability Engineer (SRE) , you will bridge the gap between software engineering and systems architecture. You will be a core contributor to the IT Infrastructure team, owning the evolution of core infrastructure and observability platforms. This role requires a strong software engineering mindset and deep technical breadth to deliver high-quality, scalable solutions for "immature" system problems. Your focus will be on building resilient, automated infrastructure that empowers development teams and ensures our cloud environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on cloud platforms (AWS/Azure) using Infrastructure as Code (IaC) tools like Terraform or Pulumi. Reliability and Performance Engineering: Optimize system performance, architecture, and scaling to ensure maximum uptime and minimal latency for critical IT services. CI/CD Excellence: Architect robust deployment pipelines (e.g., GitHub Actions), managing both hosted and self-hosted runners for specialized build requirements. Observable by Default: Create underlying infrastructure to ensure new internal applications are secure and have logging, metrics and alerts enabled by default. Agentic ToolingI: Build internal AI plugins, and automation scripts to streamline developer workflows and enhance operational efficiency. Incident Response: Focus on subsequent data usage, incident management workflows, and creating necessary dashboards to maintain service health. Participate in a shared on-call rotation, leading rapid incident response and technical troubleshooting for production outages.Facilitate blameless post-mortems

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? In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Defence and National Security business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products. In this role, you will: Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North. Architect scalable, secure, and customizable NLP

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our San Francisco, New York City, or Seattle hubs. You'll report to the head of AI engineering. 🦸🏻‍♀️ What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Coll

🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role As an AI engineer at WRITER, you'll be at the forefront of shaping how enterprises harness superintelligence. This isn't just about theory; you'll be building tangible AI solutions that power the future of work for hundreds of the world's leading companies. Your work will directly impact the performance, scalability, and ethical alignment of our cutting-edge LLMs and AI agents, enabling businesses to unlock unprecedented levels of productivity and innovation with AI that is truly grounded in their data. This role can be hybrid in our London hub. You'll report to the head of AI engineering. 🦸🏻‍♀️ What you'll do Architect, develop, and deploy high-performance, scalable AI applications into production environments, ensuring robust integrations with our end-to-end platform. Drive the development of intelligent agents and AI-powered features, translating complex research into practical, impactful solutions for our customers. Collaborate closely with research scien

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Staff Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workfl

About Scale AI Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with the world's leading enterprises and government organizations to accelerate their AI transformation through frontier AI systems that solve real business problems. Every day, we work with organizations across finance, healthcare, manufacturing, media, telecommunications, and government to build production AI agents that automate complex workflows, reason over enterprise knowledge, and operate safely at scale. The Opportunity The hardest part of enterprise AI isn't building a great model—it's building AI systems that reliably operate inside complex production environments. As a Frontier Agent Engineer (Forward Deployed Engineering) , you'll work directly with strategic enterprise customers to architect, integrate, deploy, and operate production AI systems. You'll combine modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies to transform cutting-edge models into reliable enterprise software. Unlike traditional infrastructure or platform roles, you'll work at the intersection of AI and enterprise engineering. You'll design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape the engineering best practices for the next generation of enterprise AI. If you enjoy solving difficult systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production, you'll fit right in. What You'll Build Enterprise AI Systems Architect and deploy production AI systems that integrate seamlessly into complex enterprise environments, including cloud platforms, data warehouses, internal APIs, business applications, and proprietary software systems. Design scalable agent architectures that combine LLMs, retrieval, memory, tools, structured knowledge, and enterprise data into reliable production workflows. B

As a TPM for SRE, you will partner with SRE leaders and engineers to scale the platform that underpins all of MongoDB’s cloud products. You will drive program execution, strengthen production reliability practices, and coordinate cross-functional efforts across US and EMEA teams. Success in this role means smoother launches, clearer roadmaps, stronger reliability metrics and an SRE organization that's better-equipped to deliver predictability at scale. This role can be based out of our Dublin or Cork office or remotely in Ireland. What You'll Do Drive Program Planning & Execution – Define program scope, milestones, and success criteria with SRE engineers and leaders. Manage dependencies across platform teams, keep work clearly tracked in Jira, and deliver on time Strengthen Production Reliability – Lead change management and launch readiness programs. Partner with SREs and product teams to define and operationalize SLOs/SLIs, and use incident data, metrics, and capacity signals to drive prioritization and continuous improvement Lead Cross-Functional Coordination – Align SRE with Security, Compliance, Cloud platform, and other engineering teams. Coordinate cross-team incident response, ensure clear follow-through, and build trust as the go-to driver of complex, multi-team efforts Build Scalable Systems & Processes – Design lightweight frameworks and communication patterns that help SRE deliver reliably at scale. Work yourself out of the "hero" role by leaving teams better-equipped to execute independently Requirements 8+ years in technical program management, engineering management, or a comparable technical role partnering with software engineering teams Proven track record leading large-scale, cross-team platform initiatives through ambiguity and change Strong knowledge of production change management, software development lifecycle, and reliability metrics (SLOs, SLIs) Skilled at shaping roadmaps and managing dependencies Able to query and interpret

We’re looking for a hardworking, driven individual with superb energy, passion and initiative for new business acquisition. The Enterprise Account Executive role focuses exclusively on formulating and executing a sales strategy within an assigned territory , resulting in revenue growth and new customer acquisition. We are looking to speak to candidates who are based in Barcelona for our hybrid working model. Impact you will have Proactively, identify, qualify and close a sales pipeline Strategically prospect into CTOs, Engineering/IT Leaders, & technical end users Build strong and effective relationships, resulting in growth opportunities Partner with our Solution Architects and work closely with the Professional Services team to achieve customer satisfaction Work closely with the enterprise ecosystem partner sales and channel partner to maximize deal sizes Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs What you bring to the table 3+ years field experience of quota-carrying experience in a fast-paced and competitive market with a focus on closing net new logos and expanding accounts. Demonstrated ability to open new accounts and sell horizontally across the organization into different business units A proven track record of overachievement and hitting sales targets Ability to articulate the business value of complex enterprise technology Co-selling with cloud service providers (AWS, GCP and Azure) and large GSIs (Accenture, KPMG, etc) Skilled in building business champions Driven and competitive. Possess a strong desire to be successful Must live in territory and speak Catalan Things we love You are passionate about growing your career in the largest market in software (database) Previous Sales Methodology training (e.g. MEDDIC, SPIN, Challenger Sales) Familiarity with databases, develops and cloud native infrastructure a plus Why join no

Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while maintaining the governance, accountability, and control required in highly regulated environments. Our portfolio includes Zafin AIOS , an agent orchestration platform for governed AI work; the Zafin Banking Platform , which helps banks modernize product, pricing, offers, billing, loyalty, and relationship management; and Zafin IO , an integration platform that connects data, systems, and workflows across complex enterprise environments. Headquartered in Toronto, Canada, Zafin partners with leading financial institutions across North America, Europe, the Middle East, Africa, and Asia-Pacific. As AI transforms the future of financial services, we're building the platforms that help regulated organizations adopt AI responsibly and at scale. Cloud Site Reliability Engineer I (CSRE I) Zafin is seeking a Cloud Site Reliability Engineer I (CSRE I) to lead strategic initiatives in ensuring the reliability, scalability, and performance of our cloud infrastructure and applications. This advanced role requires mastery in cloud technologies, strategic planning, and incident management to drive innovative solutions and operational excellence. Key Responsibilities Manage the resolution of complex technical issues involving Zafin’s products and Azure cloud environment. Design and implement strategic operational enhancements to improve resiliency and system reliability. Conduct in-depth Root Cause Analysis (RCA) for high-severity incidents and drive initiatives to reduce error recurrence. Represent the organization in external client escalation calls, providing expert guidance and solutions. Optimize cloud infrastructure for high performance, scalability, and cost-effectiveness. Provide thought leade

Join the MongoDB Server Query Execution team, and help us build a world-class distributed open-source database. Our team plays a crucial role in the performance and efficiency of MongoDB's data processing. We are responsible for building and improving the core execution engine that powers all queries, taking a logical query plan produced by the optimizer and turning it into reality. This includes developing the physical operators for data retrieval and manipulation, improving the runtime for complex analytical and transactional workloads, and owning critical components such as our new execution engine. In addition to the core server, we support the query execution needs of other major products like Atlas Streams, Atlas Search and Vector Search, and mongosync, making our work vital to the entire MongoDB ecosystem. You will be joining a globally distributed team with a significant presence in both North America and Europe. While this role is based in the NAMER region, you will regularly collaborate closely with colleagues across different time zones. We support both office-based work in our North America hubs like New York, as well as remote work. We have tons of interesting problems to solve with a direct impact on users for transactional, time-series, and analytical workloads. To meet the ever-increasing data demands of modern applications, we are actively evolving our query system; this includes strategically re-architecting and improving key components of our query execution engine. We need your help to design and build the core of a distributed, flexible schema document database. This role can be based out of one of our North America offices, such as NYC or Palo Alto, or remotely across North America. Candidate Profile 10+ years of hands-on, professional experience in query engine development or database internals Experience with building production-level code with a large user base, robust design structure and rigorous code quality Degree in Computer Science or

The Internal Data team is on a mission to power data-informed decisions and applications across MongoDB, oriented around the business areas of Customer, Product, Finance, and Employee. We build and scale the data products MongoDB employees rely on every day, including data pipelines, datasets, analytics, APIs, ML models, and frameworks that form the backbone of our internal data ecosystem. We treat data as a product. That means applying the same rigor, user focus, and outcome orientation to internal data that MongoDB brings to its external-facing platform and products. As MongoDB scales, our financial data footprint has grown exponentially. You will inherit the challenge of providing the focus and product management needed to transform complex, high-volume consumption data into clean, compliant, and near-real-time financial products; moving our Finance teams away from manual workflows and toward automated, AI-driven forecasting. We are looking to speak to candidates who are based in NYC, Austin, Palo Alto, or San Francisco for our hybrid working model. What You'll Do Drive the end-to-end product vision, strategy, and roadmap for critical data products that power company-wide financial planning, forecasting, spend efficiency, and operational rigor Navigate ambiguity and shape requirements by partnering deeply with Finance leadership to unpack complex, unformed business problems. Proactively translate high-level financial strategies into concrete data requirements, technical frameworks, and user stories Lead cross-functional squads to design, build, and deploy robust pipelines, datasets, dashboards, APIs, and frameworks. Champion underlying data management tools that serve as the foundational engine for AI and BI across the enterprise Act as the ultimate advocate for the voice of the data consumer. Proactively audit user workflows, enforce data trust, and relentlessly push for the right strategic technical solutions over temporary, ad-hoc fixes Ruthlessly prioritize t

About AlphaSense: The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content. The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us! About The Role: Our Site Reliability Engineering team is growing, and we are looking for a highly experienced Staff Site Reliability Engineer to help shape the future of reliability, scalability, and performance at AlphaSense. This is a hands-on, high-impact role where you will architect core reliability platforms, lead by example in incident response, and drive cultural adoption of SRE best practices across our global engineering organization. Our mission is to engineer our platform to the reliability standards of mission-critical systems, targeting 99.99% uptime, while continuously enhancing our systems and processes. This role is key to that mission and goes beyond traditional system maintenance; it’s about pioneering the platforms, practices, and culture that enable engineering to scale effectively. You will act as a force multiplier, mentoring fello

About the role 우리는 비즈니스를 성장시키고 관리하는 데 열정적이고 에너지가 넘치는 성실한 분을 찾고 있습니다. Enterprise Account Executive 역할은 맡은 고객 내에서 세일즈 전략을 수립하고 실행하여 매출 성장을 이루는 데 중점을 둡니다. 우리의 하이브리드 업무 방침에 따라 대한민국 서울 오피스로 출퇴근이 가능하신 분을 모시고자 합니다. (서울시 강남구 테헤란로 518) What you will be doing 적극적으로 세일즈 파이프라인을 찾고, 검증하며, 마감합니다. CTO, 엔지니어링 및 IT 리더, 기술 최종 사용자에게 전략적으로 접근합니다. 강력하고 효과적인 관계를 구축하여 성장 기회를 창출합니다. 솔루션 아키텍트 및 프로페셔널 서비스 팀과 협력하여 고객 만족을 달성합니다. 엔터프라이즈 생태계 파트너 영업 조직 및 채널 파트너와 긴밀히 협력하여 딜 규모를 극대화합니다. 잘 짜여진 세일즈 부트캠프, 고급 세일즈 트레이닝 및 리더십 개발 프로그램을 포함한 세일즈 교육에 참여합니다. What you bring to the table 빠르게 변화하고 경쟁이 치열한 마켓에서 5년 이상의 다이렉트 세일즈 경험, 신규 고객 확보 및 고객 확대 경험, 새로운 고객을 확보하고 복잡한 영업 프로세스를 운영해본 경험 영업 목표 초과 달성 경험 (President’s Club, Rep of the Year 등) 복잡한 엔터프라이즈급 소프트웨어의 비즈니스 가치를 명확히 설명할 수 있는 능력 비즈니스 챔피언을 구축할 수 있는 역량 경쟁적이고 성공에 대한 강한 열망을 가진 분 우수한 영어 활용 능력 Things we love 최대 소프트웨어 시장(데이터베이스)에서 경력을 개발하고자 하는 열정 세일즈 방법론 교육 이수 혹은 이를 활용한 실무 경험 (예: MEDDIC, SPIN, Challenger Sale) 데이터베이스, 소프트웨어 개발 및 오픈 소스 기술에 대한 친숙함 Why join now 새로운 직원의 역량 개발 및 지속적인 경력 개발에 대한 전폭적인 지원 최대 25%의 커미션 엑셀러레이터 MEDDIC 및 Command of the Message를 포함한 최고 수준의 세일즈 교육, 포괄적인 세일즈 부트캠프 및 개발 프로그램 신규 입사자 RSU (Restricted Stock Units) 및 ESPP (Employee Stock Purchase Plan) 관대하고 경쟁력 있는 복지 혜택 (10% 퇴직연금 적립, 최대 20주의 유급 출산 휴가, 가족 단체보험, 불임 치료 및 웰빙 지원) MongoDB’s Sales Culture MongoDB는 기술뿐만 아니라 세일즈 시장 진출 전략에서도 항상 발전하고 혁신하고 있습니다. 우리의 세일즈 리더십은 최고의 세일즈 팀을 구축하는 데 전념하고 있으며, 팀의 모든 구성원이 성공할 수 있도록 영감을 주고 지원합니다. 우리는 여러분이 성공적으로 딜을 성사시킬 수 있도록 지원할 뿐만 아니라, " Think Big and Go Far "라는 우리의 목표를 계속 발전시킬 수 있도록 여러분의 피드백과 의견을 원합니다. MongoDB 세일즈 팀의 중요한 일원으로서, 여러분은 수익성 있는 시장에 다가갈 수 있으며, 소프트웨어 산업에서 가장 성공적인 세일즈 리더들로부터 영업 방법을 배울 수 있습니다. About MongoDB MongoDB는 변화를 위해 만들어졌습니다. 우리는 고객과 구성원이 시장의 속도에 맞춰 혁신할 수 있도록 힘을 실어줍니다. 우리는 AI 시대를 위한 데이터 플랫폼을 새롭게 정의하여, 혁신가들이 소프트웨어로 산업을 창조하고, 변화시키고, 혁신할 수 있도록 합니다. MongoDB의 통합 데이터 플랫폼은 시장에서 가장 널리 제공되며 전 세계적으로 분산된 데이터 플랫폼으로, 조직이 기존 레거시 워크로드를 현대화하고, 혁신을 수용하며, AI를 마음껏 활용할 수 있도록 지원합니다. 클라우드 네이티브 플랫폼인 MongoDB Atlas는 AWS, Google Cloud, Microsoft Azure에서 모두 사용할 수 있는 유일한 전 세계 분산 멀티클라우드 데이터 플랫