Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Define technical direction for hyperscale Azure Storage components; architect, develop, test, and support highly scalable, secure, compliant, and highly available cloud services. Lead multiple engineering projects, improve reliability, scalability, performance, consistency, and observability, and apply AIOps for incident detection, root-cause analysis, and operational excellence.

Leads post-sale delivery and customer success for strategic accounts, building executive relationships, creating success plans, orchestrating Microsoft and partner resources, managing escalations, driving cloud adoption and consumption, mitigating blockers, and aligning Azure, Microsoft 365, Dynamics, and other solutions with customer business outcomes.

Lead technical pre-sales engagements for Microsoft 365 Copilot, Copilot Studio, AI agents, and cloud endpoint solutions. Deliver demonstrations, discovery sessions, whiteboarding, solution designs, and proof-of-concept support. Develop technical win strategies, address objections and blockers, collaborate with partners and internal teams, educate customers, and guide adoption while embedding governance, security, and compliance into proposed solutions.

Owns global sales operations for Education and Nonprofit segments, including revenue integrity, segmentation, account parenting, quota shifts, territory design, employee assignments, and sales performance management configuration. Governs business rules, audits, reporting, and operational controls across the Americas, EMEA, and Asia. Oversees vendor execution, resolves escalations, drives cross-functional alignment, and delivers analytics and process improvements using tools such as Power BI, Excel, SharePoint, Copilot, and SPM.

Leads the AI strategic messaging architecture and end-to-end frontline video and content program for Microsoft Customer Service & Support. Establishes dissemination governance, translates technical AI initiatives into adoption-focused narratives, coordinates senior stakeholders and communications partners, delivers executive-ready materials, and manages confidential AI strategy and organizational-change communications across a large matrixed organization.

Serve as a customer-facing trusted advisor for Dynamics 365, Power Platform, and Copilot business solutions. Architect implementation, governance, adoption, and operational strategies; translate customer needs into business process solutions; resolve deployment blockers; drive consumption, satisfaction, and business growth; identify expansion opportunities; and share customer insights with engineering and product teams. The role also contributes to technical communities, methodologies, presentations, and scalable solution patterns.

Lead technical strategy with channel partners across ASEAN to design, validate, and scale Microsoft Cloud and Data & AI solutions. Drive offer development, run workshops and POCs, enable specializations, and translate technical work into repeatable, revenue-generating partner services aligned to Microsoft Cloud and AI priorities.

Customer-facing Cloud Solution Architect driving AI transformation with Copilot Chat, Agents, and M365 Copilot. Advise customers, design architectures, enable adoption and ROI, perform prompt engineering and agent building, partner with sales and technical teams, and create/reuse IP to accelerate AI adoption and sustained customer success.

Design and deliver large-scale, high-performance network fabrics (Ethernet, RDMA, InfiniBand) for Azure workloads. Troubleshoot and root-cause hardware, OS, API, and management-tool issues; produce design and implementation documents; lead cross-team reviews; participate in on-call duties; and drive integrations with customers and third parties to ensure reliable, secure, and scalable network deployments.

Leads Technical Architects and Program Managers delivering AI application and agent solutions through Azure AI Foundry. Provides technical leadership on generative AI, agent frameworks, RAG, orchestration, platform productionization, and Responsible AI. Oversees reusable architectures and accelerators, customer escalations, enablement, strategic customer engagements, product feedback, talent development, and team culture. Partners with field teams, customers, product groups, support engineers, and learning organizations to accelerate AI transformation and adoption.