Top Tech Jobs & Startup Jobs in San Francisco, CA

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.

Leads technical sales for Azure cloud and AI infrastructure solutions. Designs secure, scalable, resilient architectures; conducts demos, proofs of concept, workshops, and architecture sessions; guides customers through workload migration, modernization, containerization, networking, security, compliance, and optimization. Partners with engineering and enterprise platform teams to resolve technical blockers, support deployments, and build trusted relationships with technical and business stakeholders.

Leads customer-facing cloud and AI architecture engagements across Azure workloads, advising executives, designing secure and scalable solutions, guiding implementation, resolving technical blockers, and driving cloud adoption. The role owns technical delivery for strategic accounts, supports proposals, mentors peers, and helps enterprises modernize applications, optimize infrastructure, and scale production AI solutions.

Leads enterprise architecture, AI-powered transformation, and outcome-based solution strategy for Microsoft’s U.S. Commercial Industries organization. Partners with executives, customers, engineering, product, sales, and consulting teams to design scalable architectures, reusable engineering frameworks, and AI-enabled solutions. Establishes governance, metrics, best practices, and innovation models while mentoring customer engineering and AI teams. Drives cross-functional collaboration, technical program execution, customer-focused decision-making, and responsible technology adoption.