Top Tech Jobs & Startup Jobs

Design, build, and operate scalable data mining frameworks and pipelines that curate high-quality datasets for engineering analyses. Architect for performance, reliability, security, and maintainability; lead platform components, integrations, and cross-team alignment; drive operational excellence and customer-centric improvements.

Drive technical pre-sales engagements for Microsoft Security: build demos/PoCs, lead hands-on workshops, design secure cloud architectures, resolve technical blockers, and advise customers on improving security posture using Microsoft security products and AI-enabled solutions.

Leads the Windows & Devices FP&A function, including financial planning, forecasting, performance management, executive decision support, and business partnership. Manages and develops finance professionals, evolves operating models, translates financial complexity into executive insights, and drives process simplification, automation, analytics, and AI-enabled modernization. The role identifies risks and opportunities while improving financial predictability, efficiency, and decision-making across a complex matrixed organization.

Leads product marketing strategy for Azure modernization and agentic operations across GitHub Copilot modernization, Azure Migrate, Azure Copilot, and operational services. Oversees a large multidisciplinary team, develops portfolio narratives, drives launches, customer adoption, sales enablement, partner engagement, roadmap alignment, revenue growth, and executive communications. The role requires expertise in AI, application and data modernization, cloud migration, IT operations, and enterprise workloads across Java, .NET, and mainframe environments.

Leads product strategy, vision, roadmap, and execution for Azure Data Integration. Analyzes customer and market signals, defines investment priorities, drives feature development, and partners with engineering, design, marketing, sales, and support. Owns go-to-market planning, product performance metrics, customer adoption, stakeholder alignment, and lifecycle decisions while incorporating responsible AI, accessibility, security, and compliance requirements.

Manages the end-to-end administration of complex royalty agreements, including contract setup, statement validation, payment execution, controls, and issue resolution. Partners with legal, finance, engineering, business, and outsourced operations teams to ensure accurate, compliant, and timely payments. Uses operational data and metrics to investigate variances, monitor service performance, improve controls, standardize processes, and advance automation. Communicates risks, decisions, and program health to stakeholders and leadership.

Manages data center IT capacity allocation and optimization across campus or metro infrastructure. Coordinates deployment, infrastructure, commissioning, operational readiness, and retrofit programs while optimizing space, power, cooling, and network resources. Collaborates with engineering, operations, vendors, and stakeholders; maintains capacity tooling, analyzes risks, supports root cause analysis, ensures policy compliance, and leads projects aligned with scope, schedule, budget, safety, security, and customer-service objectives.

Product Manager Interns identify customer and market needs, define product vision and strategy, prioritize roadmap features, track OKRs and performance metrics, collaborate with design, engineering, marketing, and business teams, facilitate product reviews, gather customer feedback, and improve product development and launches.

Supports Microsoft’s Cloud Supply Chain rotation program through data and dashboard monitoring, process improvement, project coordination, risk tracking, supplier performance reporting, planning, compliance documentation, and stakeholder communication. The role is designed for early-career professionals and includes three one-year rotations across supply chain functions.

Designs, implements, tests, and supports production compiler and runtime features for the Windows ML MLIR platform. Optimizes machine learning execution across CPU, GPU, and NPU hardware through graph transformations, operator lowering, memory management, scheduling, and performance analysis. Owns complex features through deployment, improves reliability and telemetry, collaborates with Windows and silicon-partner engineers, and guides other engineers in delivering secure, scalable, high-performance platform components.