Top Tech Jobs & Startup Jobs in San Francisco, CA

Provide legal leadership on complex, high-value technology transactions worldwide. Draft, negotiate, and structure integrated commercial agreements; advise on AI and cloud-related legal issues; align business, finance, product, and security stakeholders; lead cross-functional projects; manage escalations and ensure compliance while accelerating deal velocity and mitigating legal risk.

Lead executive AI adoption by partnering with C-level stakeholders to design personalized agent solutions, drive executive sponsorship, demonstrate measurable business value, and create repeatable frameworks for scaling AI across organizations. Drive change leadership, link deployments to business outcomes, and ensure durable organizational design and governance for enterprise AI transformation.

Design, implement, and operate cloud-scale telemetry platforms, data pipelines, and infrastructure for Azure Monitor. Lead cross-team architecture and execution, improve AI development tooling, establish engineering best practices, mentor engineers, partner with product/SRE/security teams, and investigate and resolve complex production incidents with focus on security, privacy, and performance.

Senior Software Engineer to design and build next-generation networking infrastructure for large-scale AI training on Azure. Own architecture, produce secure, high-performance code, create test strategies, use AI tools for development and automation, lead code reviews, and collaborate across teams to ensure scalability, reliability, and security.

Design and deliver physical datacenter telecommunications infrastructure from Basis of Design through Issue for Construction. Lead telecom design reviews, manage A/E firms and consultants, oversee construction administration, resolve technical risks and coordination issues, ensure standards and build quality, support multiple concurrent datacenter projects, and perform site visits as needed.

Design, build, and maintain reliable distributed cluster and engineering systems for Azure Data and Fabric SQL Data Warehouse. Enable rapid deployments, validate releases, troubleshoot cross-team issues, produce secure performant code, lead design discussions, contribute to roadmap and architecture, and participate in on-call rotations to maintain service health.

Lead permitting, entitlements, and land development for a portfolio of datacenter projects across the Western U.S. Coordinate internal teams, manage contracts and budgets, engage authorities and stakeholders, mitigate regulatory risks, track permitting metrics, and improve program tools and processes to enable timely construction and delivery of operation-ready sites.

Design, implement, debug, and ship front-end features for Azure Storage at cloud scale. Create design documents, identify dependencies, improve performance, reliability, observability, and automation. Act as a DRI, mentor engineers, participate on-call rotations, and collaborate with stakeholders to drive release and project plans.

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.

Design and implement hardware health monitoring, predictive analytics, and diagnostics for exascale GPU clusters. Lead incident triage, define health KPIs, collaborate with silicon/firmware/datacenter teams, and drive automation to improve reliability and reduce manual interventions.