Top Tech Jobs & Startup Jobs in San Francisco, CA

Support design and delivery of telecommunications infrastructure for datacenters, including fiber and copper cabling, ISP/SCS/OSP systems. Perform design reviews, create design documents and SOWs, support construction administration, testing and commissioning (OTDR, insertion loss, MPO/MTP), troubleshoot field issues, participate in site visits, and help maintain standards and engineering guidance across the datacenter portfolio.

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.

Design, implement, and maintain high-quality, large-scale microservices for Azure Messaging within Microsoft Fabric; drive AI adoption to improve development processes and product innovation; ensure stability, performance, and rigorous testing; collaborate on systems-level features involving storage, replication, and OS-level interactions.

Lead expansion and scaling of the Customer Business Outcomes (CBO) operating model across the Americas and pilot global geos. Drive GTM integration, executive messaging, cross-functional orchestration, playbook and tooling adoption, enablement, and measurable pipeline/consumption outcomes. Codify repeatable processes, establish feedback loops, and prepare the organization for future people leadership and team scaling while delivering defined revenue, pipeline, and adoption targets.

Lead qualification and production-readiness validation for new Azure Storage hardware, SSDs, networking, and firmware. Drive test planning, automation frameworks, large-scale performance and reliability analysis, root-cause investigations across hardware/software/firmware, and partner with internal and vendor teams to resolve issues and influence deployment standards.

Lead hardware-software co-design and performance architecture for Microsoft 365 AI workloads. Define benchmarking and workload characterization frameworks, investigate scalability and efficiency issues, evaluate emerging hardware with Azure and platform teams, and build AI-assisted performance engineering tools while providing cross-organizational technical leadership.

Design, develop, and maintain Azure-based full-stack skilling platform features. Build CI/CD pipelines and IaC, improve site reliability, automate testing (including AI/LLM analysis), refactor code for performance, and collaborate across teams to ensure secure, scalable solutions.

Perform analytics, statistical modeling, and reporting to evaluate sales compensation plans, forecast impacts, and quantify business outcomes. Partner with sales, finance, HR, and product stakeholders to design and align incentive plans and quotas, provide compensation consulting and recommendations, gather field feedback, and communicate changes to drive understanding and action across a large, matrixed organization.

Lead technical programs for Azure Storage by synthesizing requirements, designing proofs-of-concept, defining success criteria, and delivering cross-team roadmaps. Coordinate execution, track schedules, develop staging and implementation plans, write test cases, collect performance metrics, drive customer engagements, and partner with software and hardware engineering to improve platform reliability and scalability.

Build and maintain cloud-native AI/HPC tooling and services for deployment, monitoring, profiling, and debugging at hyperscale. Drive architecture, establish best practices, act as DRI for incidents, and improve reliability, performance, and observability of supercomputing infrastructure.