Top Tech Jobs & Startup Jobs in San Francisco, CA

Design, build, and maintain large-scale data infrastructure and pipelines to ingest and process petabytes of multimodal training data (text, audio, images, video). Own Spark, Ray, vector database systems, collaborate with pre/post-training teams to improve data recipes, and support experimentation to optimize datasets for large AI model training.

Lead technical strategy and execution with strategic partners across ASEAN to build repeatable Microsoft Cloud and Data & AI offerings. Guide architecture, run innovation workshops, enable partner specializations, validate offers, and drive co-sell execution to convert technical work into measurable revenue and consumption.

Lead end-to-end SDLC and architecture for AI-infused, enterprise-grade full-stack applications. Build Copilot/agent solutions, enforce engineering best practices, mentor engineers, collaborate with PMs and UX, maintain reliability, and drive continuous improvement and automation.

Lead design and delivery of scalable Azure Storage control-plane services for AI-scale workloads. Architect distributed systems and orchestration, drive AI-assisted engineering practices, own service reliability as a DRI, and partner across teams to define the technical roadmap enabling training, inference, and agentic AI at hyperscale.

Lead site-level procurement for hyperscale datacenter construction: manage supplier selection, contracts, supplier labor, change orders, OFCI/LLE delivery and quality, schedule compliance, claims negotiation, and cross-functional stakeholder alignment to ensure on-time project delivery.

Build and operate high-throughput, low-latency data pipelines and observability capabilities for Azure AI/HPC cloud infrastructure. Design and deliver scalable services, identify operational and reliability improvements, lead incident response and root-cause analysis, and influence architecture and roadmaps. Partner across engineering and platform teams while mentoring engineers and applying distributed systems, AI infrastructure, and cloud operations practices.

Leads Commercial Solution Area activation for Microsoft Cloud & AI Platforms, translating go-to-market strategy into scalable execution plans. Partners across customer success, sales, marketing, product, and channel teams to drive customer conversation adoption, pipeline growth, field readiness, and business outcomes. Tracks performance metrics, aggregates technical and field insights, removes execution blockers, and influences senior stakeholders to improve sales and customer success execution.

Leads complex commercial sales, licensing, contracting, pricing, and negotiation strategies for high-value customer deals. Advises account teams and senior stakeholders, develops customer-centric offers, manages risk and compliance, drives revenue growth, and coordinates cross-functional teams across the deal lifecycle. Uses sales analytics and AI tools to optimize pipeline conversion, monetization, cloud adoption, renewals, and strategic negotiations while ensuring compliant and sustainable business outcomes.

Develops and executes business strategies for Microsoft’s Developer/GitHub business. Analyzes market and competitive trends, identifies growth opportunities, creates strategic narratives and planning materials, and leads cross-functional initiatives. Coordinates stakeholders across sales, engineering, finance, marketing, business planning, partners, and customer-facing teams while influencing senior leadership through data-driven recommendations.

Leads Microsoft’s Global Business Operations team and enterprise commercial operating rhythms. Sets strategic direction, governance, performance standards, and execution frameworks; drives executive alignment, stakeholder influence, operational excellence, AI-enabled process improvement, and cross-functional follow-through. Builds and develops a high-performing team, oversees complex program portfolios, synthesizes business insights, manages risks and dependencies, and ensures executive decisions translate into measurable outcomes across global sales and commercial organizations.