Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead a cross-discipline engineering team to deliver high-impact cloud and AI-enabled customer solutions. Coach engineers and TPMs, model engineering excellence, contribute to open-source solution patterns, and drive portfolio and delivery leadership while ensuring operational excellence and responsible AI practices.

Partner with Cloud & AI sales leadership to drive pipeline health, consumption forecasting, sales execution discipline, and data-driven insights. Lead planning engagements, milestone management, and change to accelerate Azure and AI platform revenue and customer value.

Design and implement scalable, durable cloud storage services for Azure Archive Storage. Collaborate with hardware/firmware teams, lead design and feature implementation, mentor engineers, act as DRI and on-call owner, and improve availability, reliability, performance, and observability of large-scale distributed storage systems.

Design, implement, debug, and ship front-end features for Azure Storage at cloud scale. Drive design, dependency identification, and documentation. Act as DRI, participate on-call monitoring and incident response, and improve service reliability, performance, automation, and observability in collaboration with stakeholders.

Design, implement, debug, and ship features for Azure Storage front end at cloud scale. Drive design, dependency identification, automation, reliability, observability, and on-call incident response while collaborating with stakeholders and mentoring engineers.

Drive monetization, business strategy, and go-to-market planning for Microsoft Customer Experience & Success support. Analyze market trends, collaborate cross-functionally, build pricing and monetization models, and deliver strategic recommendations to scale AI-enabled support and revenue growth.

Lead AI and security strategy with enterprise customers, drive Microsoft business growth and partner co-sell, influence technical teams on architecture and migration, deliver industry briefings, enable customer readiness, and act as a trusted technology advisor to achieve business outcomes and account growth.

Lead global SMB strategy and execution for Microsoft Cloud & AI Platforms: define product positioning, drive partner co-sell and field enablement, translate strategy into scalable operating models, govern performance, and evangelize SMB customer value. Collaborate cross-functionally to convert field insights into actionable plans and continuous learning to improve execution and revenue outcomes.

Lead resolution of complex technical customer issues using AI-assisted diagnostics, mentor engineers, engage product engineering, drive product/process improvements, develop readiness/content, ensure security and compliance, and create reports and dashboards using Power Platform, Power BI, and Excel to improve serviceability and customer outcomes.

Design, implement, and operate core components of Azure Storage, focusing on metadata and data services for a hyperscale distributed file system. Build reliable, durable, and cost-efficient storage platforms using DPUs, optimize OS and networking (TCP/RDMA), participate in design, on-call DRI duties, and drive reliability and performance improvements.