Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead and develop a team of Azure solution engineers to drive cloud migration, application modernization, AI adoption, and secure, governed platform solutions for Education, Nonprofit, and IGO customers across the Americas. Build trusted partnerships across sales, engineering, partners, and customers, scale repeatable solution plays, and coach technical talent to deliver measurable business and technology outcomes.

Design, implement, and operate highly scalable Azure Compute services and full-stack features. Collaborate on requirements, design docs, and dependency management. Drive reliability, performance, observability, and incident response as a designated responsible individual and on-call engineer.

Develop and execute go-to-market strategies for Microsoft's Frontier Transformation priorities across the Americas. Create customer engagement motions, field enablement resources, playbooks, and activation programs that connect business outcomes to technology solutions. Lead cross-functional collaboration across Sales, Services, Marketing, Customer Success, Product, and Industry teams. Analyze customer, sales, and usage signals, define success metrics, monitor program adoption, and provide executive-ready insights and recommendations.

Work with researchers and engineers to implement and optimize generative AI inference systems. Build tools for debugging performance, profiling, distributed systems, and improve compute efficiency across large heterogeneous GPU fleets. Deliver end-to-end solutions and processes to accelerate research and production inference.

Customer-facing Cloud Solution Architect who designs and deploys secure, scalable, AI-ready data platforms on Azure. Leads architecture sessions, proofs-of-concept, and production deployments, ensuring performance, resiliency, and security. Drives adoption, identifies expansion opportunities, enables partners, contributes to IP and technical readiness, and represents Microsoft in technical communities and events.

Lead end-to-end delivery of high-impact data science and AI projects: translate business needs, prepare data, build and deploy predictive, prescriptive, and generative AI solutions (including LLM fine-tuning and prompt engineering), ensure production readiness and responsible AI, and advise stakeholders to drive adoption.

Lead consultative sales engagements to plan, orchestrate, and close AI Workforce opportunities (M365 Copilot and related solutions). Develop stakeholder networks, drive business value conversations, collaborate with internal teams and partners to cross-sell/up-sell, and act as a subject matter expert on AI Workforce adoption and deployment.

Lead execution of enterprise operating rhythms, drive governance and cross-organizational alignment, run the Commercial Business Overview, synthesize data into executive-ready recommendations, and improve operating models and tooling to accelerate decision-making and follow-through across regional and field teams.

Lead and advise enterprise customers on migrations from Google Workspace, Exchange, File Shares, Box, and Dropbox to Microsoft 365 (EXO, ODfB, SPO). Assess requirements, design migration strategies, coordinate delivery teams and partners, manage risks and stakeholders, optimize migration throughput, and develop reusable playbooks and best practices to accelerate adoption and time-to-value.

Serve as a technical, customer-facing engineer guiding enterprise customers through onboarding, deployment, adoption, and optimization of Microsoft cloud solutions (Security, Copilot, M365, Endpoint, Identity). Remove deployment blockers, enable secure AI experiences, collaborate with architects, product and partner teams, share best practices, and drive measurable consumption and time-to-value.