Top Tech Jobs & Startup Jobs

Lead Azure AI solution design and delivery within the AI Factory: build generative AI POCs/MVPs to production, unblock technical issues, drive adoption, provide technical program management, and influence product roadmap through customer feedback.

Lead end-to-end data science and AI projects: translate business problems, prepare large datasets, build and deploy predictive/prescriptive and generative AI models (including LLM fine-tuning and prompt engineering), communicate insights to stakeholders, and promote responsible, explainable AI practices across consulting engagements.

Lead global business planning, financial management, talent and headcount planning, executive and internal communications, and governance to drive operational excellence for Global Channel Sales. Own budgeting, forecasting, onboarding, program management, and strategic initiatives while partnering with senior leadership to optimize resources and enable partner success.

Lead cross-functional teams to plan, develop, and launch Azure cloud hardware server platforms. Drive technical program management for new hardware, manage risks and suppliers, communicate status to executives, ensure cross-functional alignment, and deliver scalable datacenter infrastructure on schedule and at quality.

Design, build, and operate distributed microservices on Azure; integrate AI (Azure OpenAI, Semantic Kernel); ensure security, scalability, and observability; own features end-to-end, participate in on-call rotation, and contribute to CI/CD and DevOps practices.

Lead and manage a team of Azure Customer Engineers delivering end-to-end support for strategic Azure customers. Split role between hands-on escalation (50%) and people leadership (50%): hire, coach, onboard, drive operational excellence, reduce time-to-mitigate, integrate with Azure engineering, improve tooling and diagnostics, and ensure customer satisfaction for mission-critical deployments.

Lead regional contract execution for GC, Cx, AE and service contracts across datacenter construction projects. Manage contract negotiation, risk mitigation, vendor coordination, budgets/change orders, compliance, schedules, and stakeholder communications to ensure on-time, on-budget delivery and commissioning.

Lead enterprise-wide AI-enabled transformation programs: design lighthouse pilots, translate strategy into executable roadmaps, establish governance and change management, mentor teams, drive cross-functional delivery, and codify best practices into playbooks.

Lead partner enablement and go-to-market for Microsoft 365 and Windows 365 AI-ready security and productivity. Build partner strategy, activation, practice development, and conversation-led marketing. Drive partner programs, playbooks, skilling, events, measurement, and executive reporting to scale partner-driven adoption, pipeline, and customer outcomes.

Lead end-to-end delivery of large, cross-organizational hardware and infrastructure programs. Align roadmaps and resources across engineering, operations, and business teams, define scalable governance, track KPIs, remove blockers, mitigate risk, and drive continuous improvement and automation to increase engineering productivity and operational effectiveness.