Top Tech Jobs & Startup Jobs

Build, release, and support production software across .NET services and client platforms including Android, Chrome, Windows, and web. Collaborate with engineers and cross-functional teams to solve customer problems, improve engineering quality and efficiency, and develop reliable software serving millions of users. The role also involves using modern AI tools and completing Microsoft Cloud security screening.

Lead the technical vision and development of AI-powered relevance, ranking, recommendation, personalization, advertising, shopping, and agentic commerce systems. Define machine learning roadmaps, build and deploy large-scale models, optimize training and inference, evaluate performance, partner with product and engineering teams, drive measurable business outcomes, and mentor scientists and engineers.

Define product strategy and roadmaps for Azure sovereign cloud capabilities. Partner with engineering, customers, sales, and stakeholders to translate needs into scalable cloud services, tools, processes, and architecture improvements. Lead requirements workshops, prioritization, solution design, communications, and cross-functional execution while ensuring security, compliance, operational resilience, and customer value. Influence distributed teams and senior decision-makers across public-sector and regulated commercial markets.

Leads financial discovery projects for Microsoft's Corporate, External, and Legal Affairs organization. Conducts detailed research and analysis across historical and disconnected datasets, maintains strict data custody, improves reporting through automation and AI tools, advises stakeholders, and delivers accurate, timely information for regulatory and compliance needs.

Lead end-to-end data science for customer-embedded, production solutions: acquire and prepare messy datasets, develop and evaluate models tied to business outcomes, run experiments, deploy operational models at scale, coach cross-disciplinary teams, and drive strategy, ethics, and privacy discussions.

Design end-to-end UX journeys for Microsoft.com’s commercial security experiences, including information architecture, navigation, interaction design, prototyping, and design-system patterns. Translate complex product and business requirements into customer-centered web experiences, collaborate with marketing, content, analytics, engineering, and production teams, and use research and performance data to improve comprehension, wayfinding, and conversion.

Lead engineering for a hyperscale deployment platform serving Microsoft 365 services. Design and deliver scalable deployment features across the full software lifecycle, mentor engineers, and drive automation and AI-powered solutions that improve reliability, efficiency, performance, and operational excellence. Collaborate with product managers and partner teams while ensuring high-quality, maintainable, production-grade software.

Build and optimize frontend advertising experiences and rendering libraries across platforms. Collaborate with design, product, and partner teams on UX, analyze ad-stack performance using data and monitoring systems, and drive improvements across complex, multilingual, multi-region, cross-platform web applications.

Leads complex strategic Cloud and AI partnerships from qualification through commercial commitment, execution readiness, transition, and value realization. Shapes enterprise architectures spanning cloud, applications, data, databases, security, and AI; develops transformation roadmaps, value cases, consumption plans, and commercial constructs. Advises executives, challenges customer assumptions, orchestrates Microsoft teams and partners, embeds governance and Responsible AI, and drives AI-native operating-model change and continuous improvement.

Owns product strategy and execution for Microsoft engineering productivity systems, including developer VDI, build infrastructure, and test tooling. Identifies opportunities using telemetry and structured data, collaborates with cross-functional product teams, standardizes engineering tools, and improves developer productivity, software quality, and satisfaction. Requires software development or product management experience and familiarity with CI/CD, developer tools, AI, and developer workflows.