Top Tech Jobs & Startup Jobs

Manages a portfolio of customers, aligning Microsoft solutions, services, and delivery with business priorities. Builds stakeholder relationships, develops success plans, tracks milestones, supports cloud adoption and consumption, improves customer health and resilience, and identifies AI transformation opportunities. Coordinates across Microsoft sales, technical, support, delivery, and partner teams while communicating customer value through governance and delivery reviews.

Own end-to-end product design for moderately complex Windows privacy and security experiences, from problem definition through launch. Partner with product management and engineering, apply research insights, create prototypes, use AI-assisted design tools, test concepts, and communicate design rationale through compelling narratives. The role requires strong visual, interaction, accessibility, prototyping, storytelling, and collaboration skills.

Leads technical solution management for Microsoft’s global cloud supply chain and data center deployment operations. Assesses infrastructure risks, improves deployment readiness and standardization, reduces signal-to-live cycle times, establishes governance and performance metrics, and influences hardware engineering, networking, data center operations, and supply chain stakeholders. The role also supports business architecture, process instrumentation, data-driven executive decisions, and infrastructure deployment improvements.

Lead product vision, strategy, roadmap, and investment priorities for Microsoft’s core business data platform across Dataverse, Finance and Operations, Dynamics 365, and Power Platform. Drive reliability, scalability, governance, lifecycle management, storage economics, integration, AI enablement, ecosystem strategy, commercial models, and measurable customer outcomes. Influence engineering, product, AI, finance, partners, customers, and senior leaders across organizational boundaries.

Lead talent management strategy for Microsoft CoreAI: design governance, succession, leadership development, and AI-enabled talent diagnostics. Advise executives, set decision frameworks, drive program architecture and change, and ensure integration across HR, Learning, and OD to build leadership bench strength and scale technical capability globally.

Marketing MBA Interns work on product and customer marketing projects, including messaging and positioning, go-to-market planning, integrated campaigns, customer research, competitive insights, adoption strategies, customer storytelling, and lifecycle marketing. The internship may lead to Microsoft’s MBA rotation program in Redmond, Washington.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

Lead and modernize a global privacy, data protection, and business resilience program for Microsoft Commercial. Build and manage a high-performing team, create a federated operating model, implement AI-enabled automation and scalable controls, aggregate risk signals into KPIs and executive reporting, and represent data protection posture to customers, regulators, and executives.

Lead product marketing for Microsoft 365 Copilot adoption by shaping narratives, content strategy, and the adoption hub web experience. Translate customer insights into actionable guidance, drive editorial quality, influence cross-functional stakeholders, measure impact, and build and coach a high-performing content and adoption team to accelerate product usage and business outcomes.

Build and scale programs integrating Azure capacity planning into commitments, renewals, and strategic pursuits. Lead cross-functional governance, stakeholder alignment, field enablement, change management, customer offering design, reporting, and continuous improvement. Develop repeatable operating models, track risks and dependencies, improve adoption and execution, and use Copilot and AI agents to automate reporting and program operations.