Top Tech Jobs & Startup Jobs in San Francisco, CA

Designs, implements, and operates networking architectures for Azure Dedicated environments, including hybrid connectivity, ExpressRoute, and SDN solutions. Integrates third-party platforms, optimizes performance and reliability, troubleshoots complex hybrid or multi-cloud issues, and supports automation, observability, live-site operations, workload migration, and disaster recovery. Collaborates with Azure teams and external partners to establish standards and improve services.

Drive sales excellence for Microsoft’s Americas AI Business Solutions segment by managing pipeline health, sales execution, governance, partner insights, and sales transformation. Establish predictable business rhythms, guide leaders on sales methodologies, support fiscal planning, and deliver performance recommendations. This strategic individual contributor role requires influencing senior stakeholders, managing ambiguity, and using data to improve revenue and consumption growth.

Designs and evolves Cyber Defense Operations’ operating model for AI-accelerated threats. Advises leadership, develops governance and adoption frameworks, coordinates cross-functional initiatives, establishes strategic project structures, synchronizes workstreams, and escalates execution risks. The role focuses on operating model architecture, AI adoption strategy, incident-management integration, and organizational capability building.

Lead the architecture and development of Microsoft’s enterprise Insider Risk platform. Build scalable, secure, privacy-conscious systems for risk signals, behavioral analytics, detections, investigations, case orchestration, and security data. Partner with security, legal, HR, privacy, investigators, data scientists, and business stakeholders to address complex risk scenarios. Drive technical strategy, delivery, reliability, responsible data use, and engineering excellence while mentoring engineers across teams.

Own product strategy, roadmap, and outcomes for onboarding AI capabilities into Microsoft’s platform. Lead intake, packaging, launch, distribution, lifecycle management, and production adoption while converting manual workflows and bespoke integrations into reusable platform primitives, automation, standards, and self-service paths. Partner with engineering, TPM, compliance, operations, and product teams on architecture, governance, dependencies, launch readiness, and measurable improvements in availability, throughput, reuse, and operational efficiency.

Leads qualification and production-readiness validation for Azure Storage hardware, SSDs, networking, and firmware. Builds automation frameworks, investigates performance and reliability issues, analyzes telemetry and benchmarks, and drives root cause analysis and corrective actions. Partners with engineering and vendors to resolve blockers, improve standards, and ensure new storage SKUs are ready for production deployment.

Leads complex, multi-track digital transformation programs for strategic oil, gas, and energy customers. Responsibilities include customer engagement, executive stakeholder management, delivery governance, resource coordination, partner contracting, financial and risk management, program planning, and monitoring customer satisfaction and cloud-consumption outcomes. The role also develops industry opportunities, drives innovation, and ensures high-quality delivery across geographies.

Lead enterprise security architecture and strategy using Microsoft security solutions. Design, validate, and implement cloud-native security architectures, remove technical blockers, support large S500 customers, author voice-of-customer guidance, and influence product roadmaps and CSU IP development to accelerate secure customer adoption.

Design, implement, test, and maintain database engine features and cloud backend services. Collaborate with stakeholders on requirements and architecture, write extensible maintainable code, create test plans and unit tests, support live services (on-call), and contribute to tool and open-source improvements for PostgreSQL and Linux.

Lead the growth data product strategy: define core data models and metrics, instrument funnels, build the data foundation and LLM/agentic products, ensure correctness and adoption, unify definitions across teams, and retire duplicate reports.