Microsoft

Principal Software Engineer on the Ads Data Platform Team, which powers Microsoft's global ads marketplace. The role focuses on building and advancing the core capabilities of the Ads serving stack, a high-scale, low-latency, geo-distributed system involving large-scale machine learning inference for ad ranking and real-time bidding infrastructure.

Principal Product Manager for Multimedia offerings in the Search organization, focusing on driving improvements to existing experiences and identifying future opportunities. The role involves using qualitative and quantitative data analysis, working with cross-functional teams, and defining roadmaps for scalable products that leverage advanced ML technologies.

Senior Software Engineer to deliver secure, scalable, and mission critical AI infrastructure for Microsoft’s sensitive cloud environments, focusing on foundational services for Azure Machine Learning, Azure AI Services, Azure OpenAI, and Microsoft Foundry. The role involves building and operating AI native full stack systems, leveraging modern tooling and AI systems to accelerate development and enhance product quality within air gapped, sovereign, and commercial clouds.

Director of Product Marketing for M365 Copilot Inbound team, responsible for defining strategy, narrative, and go-to-market for Copilot-first experiences that drive adoption and daily usage. This role involves shaping product direction, crafting compelling narratives, and coordinating across various teams (Product Management, Engineering, Sales, etc.) to ensure successful launch and sustained growth of AI-driven productivity tools within the Microsoft 365 ecosystem.

Principal PM Manager for Employee Experiences (EX) within HR Technology and AI, focusing on multi-year product strategy and execution for employee-facing platforms. Drives AI-enabled innovation, ensures improvements in employee experience, operational efficiency, and business outcomes in a highly regulated environment.

Software Engineer role focused on AI-Native Development within the Cloud+AI Azure Data Team. The role involves using AI tools in the SDLC, ensuring security and compliance in a regulated, air-gapped environment, and contributing to the development of data platform services for AI-powered applications. The position emphasizes secure and reliable coding practices, code reviews, and testing within a disciplined engineering framework.

Principal Software Engineer Manager to lead engineering teams responsible for developing, deploying, operating, and continuously improving Azure services within Microsoft Specialized Clouds. This role focuses on AI-native development, guiding teams on the use of AI tools and Responsible AI practices throughout the SDLC, ensuring operational rigor, automation, and compliance in regulated cloud environments.

Software Engineer role focused on deploying and operating a Secure Work Area within a highly secured and regulated environment. The role involves using AI tools within the software development lifecycle (SDLC), including for code generation and test automation, while adhering to strict security and compliance requirements. The primary focus is on building and maintaining secure infrastructure and collaboration tools for internal and external customers in regulated industries.

Backend Engineer for Microsoft Copilot, focusing on building and scaling the core backend platform including Orchestrator, Inference, and APIs to power AI-driven consumer experiences. The role involves developing secure, performant APIs, collaborating with cross-functional teams, and shipping high-quality code in a fast-paced environment.

Customer-facing Cloud Solution Architect role focused on helping commercial customers productionize AI-powered applications on Azure. Responsibilities include leading technical engagements for architecture design, POCs, and MVPs, ensuring production readiness of mission-critical workloads, and driving adoption of Azure AI, App Services, Containers, and GitHub. The role requires deep technical expertise in Azure and cloud-native development, with a focus on scalability, resiliency, and readiness for AI use cases.

The Director of Marketing Measurement Strategy & Implementation is responsible for developing and operationalizing marketing measurement as a core strategic capability that drives marketing’s direction and investment decisions. This role defines how Marketing not only understands impact but also implements measurement systems that connect marketing activities to tangible business outcomes. The role leverages AI-driven measurement tools and privacy-first approaches to build scalable data pipelines and reporting infrastructure, translating complex insights into executive-ready recommendations.

Software Engineer role focused on building and improving the conversational core (Microsoft 365 Copilot Chat) of Microsoft's AI-first strategy. The role involves developing features, engineering systems for rapid iteration and deployment, automating workflows, and leveraging AI-driven solutions to optimize performance and user experience for a product used by millions globally.

This role is for a Senior Sales Specialist focused on Cloud & AI Platforms, specifically Azure. The primary responsibility is to lead AI transformation initiatives for customers, helping them modernize infrastructure, optimize operations, and drive innovation using Azure's AI capabilities. The role involves customer engagement, sales strategy development, pipeline management, and leveraging AI tools to identify and close sales opportunities. While the role is within an AI-focused company and heavily involves AI concepts in its sales strategy, the core craft is sales, not building or researching AI models.

This role focuses on helping organizations transform their business processes using AI, acting as a consultative partner to C-suite executives. The specialist will lead sales processes, identify high-impact AI scenarios, drive platform adoption, and coach sales teams. The role emphasizes understanding customer business challenges and articulating Microsoft's AI solutions to achieve business goals.

This role focuses on selling AI-powered business process solutions to enterprise customers, guiding them through digital transformation and leveraging Microsoft's AI capabilities. The specialist will build C-suite relationships, lead sales processes, and deliver the One Microsoft narrative to achieve business goals.

This role focuses on ecosystem data science within Microsoft AI, owning cross-product measurement strategy, shared measurement systems, and experimentation frameworks. The Principal Data Scientist will apply machine learning, statistical modeling, and data mining to large datasets to define and deliver metrics that measure user and business value across products. They will also be responsible for designing and executing experiments, and standardizing processes for data acquisition, quality, and operationalizing ML models. The role emphasizes leadership, collaboration, and driving data-driven decisions within an integrated consumer AI ecosystem.

Customer-facing Cloud Solution Architect specializing in AI Business Process applications using Dynamics 365, Power Platform, and Copilot Studio. The role focuses on guiding customers through technical and business strategies, developing solutions, and ensuring optimal performance and cost-efficiency in leveraging Microsoft's AI investments.

Senior Solution Engineer focused on AI Business Processes, specializing in Finance & Supply Chain, Power Platform, and/or Sales & Services. The role involves guiding enterprise AI developers, accelerating adoption of Microsoft's AI-powered stack through PoCs, hackathons, and workshops, and acting as a trusted technical advisor to help customers modernize applications using AI and realize the value of Microsoft's platform. This includes accelerating AI applications and agents into development workflows.

Solution Engineer specializing in AI Business Processes (Finance & Supply Chain, Power Platform, Sales & Services) to guide enterprise AI developers in leveraging Microsoft's AI-powered stack. This role involves hands-on engagements like PoCs and hackathons, accelerating the adoption of AI applications and agents into customer development workflows, and acting as a trusted technical advisor for secure, scalable solution design.

Sales Specialist focused on driving customer adoption and transformation with Microsoft's Cloud & AI Platforms, including Azure's AI capabilities. The role involves engaging customers, assessing opportunities, managing sales pipelines using AI-powered tools, and developing sales strategies aligned with AI-driven market intelligence.

Backend Software Engineer II for Microsoft Viva Insights (Copilot Analytics) platform, focusing on building AI-powered experiences for understanding and accelerating Copilot/Agent adoption. The role involves designing, implementing, and operating large-scale distributed backend systems, applying generative AI/ML, and managing Azure infrastructure within government cloud environments (GCC-High/DoD). Requires experience with AI/ML in production, Azure services, and infrastructure-as-code, with a strong emphasis on security and compliance for government clouds.

This role focuses on improving the developer experience and CI/CD pipelines for Microsoft's Consumer Copilot, aiming to increase engineering velocity, reliability, and product quality for AI-powered consumer products.

This role is for a Site Reliability Engineer (SRE) focused on ensuring the reliability, availability, and efficiency of large-scale distributed AI infrastructure. The SRE will work with ML researchers, data engineers, and product developers to operate platforms for training, fine-tuning, and serving generative AI models. Key responsibilities include maintaining uptime, designing observability systems, optimizing performance, building automation for deployments and incident response, and ensuring security and compliance in hybrid cloud/on-prem CPU+GPU environments. The role requires strong experience in SRE/DevOps, Kubernetes, CI/CD, public cloud platforms, monitoring tools, and programming languages like Python or Go, with a preference for experience with large-scale GPU clusters and HPC.

Senior Software Engineer role focused on developing and maintaining authentication and authorization components for Microsoft Security. The role involves collaborating with cross-functional teams, making data-driven decisions, and exploring AI-assisted development practices to improve velocity and quality. Experience with distributed services and a customer-first mindset are essential. The team supports thousands of internal Microsoft services and uses .NET as its primary language, with other languages being a plus.

Principal Researcher in Data Systems at Microsoft Research, focusing on query execution, data storage, resource management, data discovery, and data preparation. The role involves leveraging AI/ML for data management challenges and contributing to Microsoft products. Requires a Doctorate and a strong publication record.

Senior Director of Customer Success Marketing for Microsoft Azure & Commercial Cloud, focusing on customer adoption, deployment, and success. The role involves leading marketing strategy, integrating pricing and feedback, championing product truth, and building AI-assisted customer success systems. It requires tracking business health using metrics and influencing product roadmaps.

This role focuses on helping customers migrate, modernize, and secure their infrastructure and applications on Microsoft Azure, with a specific emphasis on laying the foundation for scalable, production-ready AI solutions. The Cloud Solution Architect will guide customers through their AI transformation journey, design and implement scalable solutions, and optimize environments for AI use cases. While not directly building AI models, the role is crucial in enabling AI adoption and ensuring the underlying infrastructure is robust.

Customer-facing Cloud Solution Architect focused on data platforms and analytics, guiding organizations in building secure, scalable, and AI-ready solutions on Microsoft Azure. Responsibilities include architectural design, proof-of-concept initiatives, and production deployments for mission-critical workloads, utilizing technologies like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview to unlock data and AI value.

Product Manager II for Microsoft's Azure Data engineering team, focusing on the Cosmos service. The role involves owning end-to-end delivery of platform features, driving product strategy and roadmap by leveraging AI, and translating customer needs into requirements. Experience with LLM APIs and tool use is required, with a focus on building AI-enabled operational databases and data-first applications.

Product Manager II for Microsoft's Azure Data engineering team, focusing on the Cosmos service. The role involves owning end-to-end delivery of platform features, driving product strategy and roadmap leveraging AI, translating customer needs into requirements, and managing capacity planning and incident management. The team actively uses AI tools and expects candidates to be comfortable using AI as a core part of their work. Requires experience with LLM APIs and tool use.

This role focuses on designing, building, and managing cutting-edge networking infrastructure for large-scale AI training and inference in Azure Cloud. The Network Engineer will ensure high performance, low latency, and minimal jitter for distributed AI workloads, working with diverse network architectures and processor/accelerator technologies to deliver a comprehensive, end-to-end solution with a focus on performance, scalability, and observability.

This role focuses on selling Microsoft's AI Business Solutions, including Copilot, Copilot Studio, Viva, and Cloud PC/Virtualization offerings, to enterprise customers. The Sales Specialist will drive AI transformation deals through consultative selling, building business cases, and orchestrating cross-functional teams to accelerate adoption and value realization. The role emphasizes growing Copilot adoption and FLW sockets, and requires experience with Generative and Agentic AI, and building AI Agents.

Solution Engineer focused on driving customer adoption of Microsoft 365 Copilot Studio & Agents and related AI-powered productivity solutions. Responsibilities include leading technical engagements, delivering demonstrations, guiding envisioning sessions, and ensuring governance, security, and compliance.

Customer-facing role focused on driving adoption and business value of Microsoft's AI solutions, specifically Microsoft 365 Copilot and Cloud Endpoint solutions, by acting as a trusted advisor and technical subject matter expert.

The Principal Software Engineer role on the Azure Data engineering team focuses on building and optimizing big data analytics services, specifically within the Microsoft Fabric Spark team. The role involves pushing the frontiers of analytics performance and scale by working with open-source technologies like Spark, Gluten, Velox, and Delta, as well as proprietary Microsoft services. The goal is to improve onboarding and tuning of workloads, requiring an AI-forward approach to deliver impact at Azure scale. Responsibilities include designing, implementing, testing, and operating data services, mentoring engineers, and participating in live site operations.

Senior Software Engineer on the Ads Data Platform Team, part of Microsoft AI. The role involves designing and operating high-scale data platforms that process billions of events daily, supporting business analytics, machine learning models, and real-time reporting for Microsoft Ads. Focus on distributed systems, machine learning, and big data technologies.

Solution Engineer for Microsoft's Cloud & AI Data Platform, focusing on Azure databases and analytics services. The role involves driving technical sales, leading customer engagements like Proof of Concepts and hackathons, designing scalable architectures, and resolving technical blockers to accelerate customer adoption and modernization of their data platforms. Requires deep knowledge of Microsoft's data stack and on-premise data solutions.

Solution Engineer focused on data security for enterprise clients, helping them modernize their data security architecture and posture. The role involves driving technical sales, leading engagements, co-designing secure architectures, and resolving technical blockers. A key aspect is enhancing team capabilities for protecting data within AI Platforms and Applications, and accelerating AI applications and agents into customer development workflows.

Sales Specialist focused on Microsoft Security solutions for enterprise customers. Responsibilities include managing senior relationships, identifying opportunities, building business cases, and driving sales execution. Requires strong industry and security knowledge, technical acumen, and collaboration skills.

Solution Engineer focused on security, helping customers modernize their security architecture and posture by leveraging AI and Microsoft's security solutions. The role involves driving technical sales, leading engagements, building trusted relationships, and resolving technical blockers.

Principal Consultant role focused on leading the technical execution and delivery of complex client projects, embedding AI-first principles into delivery models, and ensuring solutions are intelligent, scalable, and aligned with business outcomes. The role involves driving engineering excellence, innovation, client engagement, and team mentorship within an AI-native context, with a strong emphasis on enterprise data architecture and modern platforms like Microsoft Fabric.

This role is for a Senior Software Engineer on the Microsoft Fabric Data & Telemetry team, responsible for building and maintaining the operating system for the unified data platform. The team focuses on observability, including telemetry creation, routing, storage, and consumption, supporting live-site monitoring, diagnostics, and analytics. The engineer will design and build scalable telemetry instrumentation services and pipelines, develop tools for metadata management, create job monitoring and notification services, and streamline operations through automation, leveraging Azure technologies and Fabric/Azure-Data stack.

Customer-facing Cloud Solution Architect specializing in AI and Azure workloads, responsible for guiding enterprise customers in their digital transformation and AI adoption journey. This role involves architectural design, deployment, and operational excellence for AI solutions on Microsoft Azure.

Software Engineer II on the Microsoft Fabric Data & Telemetry team, responsible for building and maintaining telemetry instrumentation services and pipelines, developing tools for metadata management, and creating job monitoring and notification services for data pipelines. The role focuses on providing high-quality data for running the service and business, supporting pillars like live-site monitoring, diagnostics, and analytics for product development, and ensuring customers have data for their own observability needs. The team applies classic cloud and software engineering practices alongside big data-engineering and analytical practices.

Solution Engineer focused on Azure cloud infrastructure for commercial customers, helping them design, migrate, and modernize architectures to support AI workloads and business-critical applications. This role involves technical sales, architecture design, and collaboration to drive Azure adoption and unlock value through AI-powered infrastructure.

This role focuses on helping enterprise customers migrate, modernize, and secure their infrastructure on Microsoft Azure, specifically enabling them to build and scale production-ready AI solutions. The Cloud Solution Architect will design and implement scalable solutions, optimize environments for AI workloads, and drive adoption of Azure services.

Senior Data Scientist role within Microsoft Advertising focused on defining and delivering metrics, experimental design, and product iteration to improve user and business value. The role involves partnering with engineering and product teams to solve complex data science problems and influence product improvements through data-driven insights and workflows.