Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead large-scale manufacturing transformation programs as a trusted advisor to executives. Shape strategy and roadmaps across factory operations, supply chain, PLM/MES/ERP, IoT, data, analytics and AI. Drive delivery excellence, account growth, and mentor teams in multi-year modernization initiatives.

Develop and implement features for Azure Wide Area Networking: gather requirements, write and reuse code, produce design docs, estimate and break down work, serve as on-call DRI to monitor and restore services, and improve availability, reliability, performance, and observability of large-scale systems.

Lead and run forward-deployed security programs: convert ambiguous security needs into scoped initiatives, align with CISO governance, partner with engineering/product/architecture, build operating mechanisms (telemetry, reviews, roadmaps), apply AI/automation responsibly, measure outcomes, drive remediation and adoption across divisions.

Lead strategy and execution for offensive and defensive AI agents, oversee ML and data science capabilities, ensure safety/governance, deliver production-grade agentic security systems, hire and develop engineering and research teams, and partner across product and platform teams to drive customer impact.

Design, implement, and ensure quality of systems-level software, tools, and SDK integration for AI frameworks. Collaborate with hardware, ML, and platform teams; write high-performance code (C/C++, C#, Python); define architectures, coding standards, and schedules; and work on device interfaces, runtime systems, and observability/profiling.

Drive technical sales and enterprise adoption of Microsoft’s GitHub, Visual Studio, Azure AI, and cloud developer platforms. Lead demos, proofs of concept, hackathons, code-with sessions, and architecture workshops. Advise engineering leaders and platform teams on secure, scalable architectures, resolve technical blockers, collaborate with product engineering, and promote AI-native development, DevOps, CI/CD, and cloud-native solutions.

Leads end-to-end delivery of large-scale Microsoft datacenter programs from design approval through construction, fit-out, commissioning, and operational handoff. Oversees schedules, risks, dependencies, stakeholder alignment, capital execution, automation, performance metrics, and cross-functional delivery across infrastructure, engineering, procurement, construction, networking, and building systems. Develops program management talent, operating models, and execution practices while guiding complex infrastructure initiatives at executive level.

Design, build, and operate a massively scalable Azure usage billing platform. Own full lifecycle engineering including design, test strategy, SRE/on-call, monitoring, CI/CD, deployment, and long-term sustainment. Develop distributed, resilient systems, service management, usage pipelines, SDKs, observability, and tooling to ensure accurate billing and reliability at cloud scale.

Lead Americas go-to-market strategy for Microsoft Power Platform (Power Apps, Power Automate, Power Pages). Design scalable GTM programs, enable field sellers, craft competitive plays, drive seat/MAU and consumption growth, collaborate cross-functionally, and measure program impact to accelerate revenue and adoption.

Provides technical leadership and oversight for geotechnical engineering across Microsoft's AMER data center portfolio. Responsibilities include site due diligence, geological condition reviews, land acquisition risk assessment, geotechnical report reviews, ground improvement recommendations, foundation coordination, regional standards development, emerging technology evaluation, and construction issue resolution. The role leads cross-functional stakeholders, consultants, contractors, and engineering teams supporting hyperscale data center design and construction.