Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead cross-organizational privacy and data-governance programs for Microsoft Security. Define governance for collection, use, sharing, retention, and protection of security data. Advise on AI data uses (model training, anonymization, differential privacy), develop standards, playbooks, and approval processes, identify systemic risks, and drive technical and stakeholder-aligned resolutions for complex privacy decisions.

Act as a trusted advisor on commercial licensing, construct customer-centric offers, lead negotiations and sales teams, leverage AI and sales science to drive revenue and compliance, identify upsell/cross-sell opportunities, assess deal risk, and ensure policy and legal adherence throughout deal execution.

Lead a U.S.-based team of Security Operations Engineers and TPMs to design, build, and operationalize identity protections that reduce lateral-movement risk. Define strategy, apply AI and automation, partner cross-functionally to translate requirements into scalable controls, and drive operational excellence, hiring, and stakeholder communication.

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.

Develops and optimizes Azure’s hyperscale distributed file-system and storage services. Responsibilities include designing and implementing features, analyzing performance, ensuring availability, security, reliability, and durability, creating technical designs, estimating work, collaborating with partner teams, and participating in on-call operations. The role focuses on next-generation storage platforms using DPUs and requires expertise in distributed systems, storage, operating systems, networking, debugging, testing, and large-scale service operations.

Customer-embedded senior technical leader driving account outcomes through hands-on engineering and technical program management. Build and ship production-grade solutions, translate business needs into technical approaches, influence senior stakeholders, and transition work to FDE crews while operating in ambiguous, fast-moving environments to accelerate time-to-value.

Customer-embedded principal data scientist who leads account-aligned engagements, translating business needs to production-grade ML/data solutions. Builds and ships end-to-end systems, influences senior stakeholders, accelerates time-to-value, mentors/hand-offs to FDE crews, and navigates complex account dynamics to deliver sustained business impact.

Develop and iterate post-training recipes for large language models: drive data collection and acquisition, build capability evaluations, design experiments, and apply reward modeling and RL to improve model performance for reasoning, instruction following, code, and tool use.

Leads Microsoft’s Defense, Intelligence, and Defense Industrial Base industry strategy across the Americas. Advises senior government and industry executives, develops digital transformation roadmaps, creates strategic sales opportunities, orchestrates account teams and partners, and drives complex cloud, AI, data, and security solutions through commercial agreements. Builds trusted customer relationships, coaches industry experts, develops repeatable growth opportunities, and requires an active U.S. Government Top Secret clearance and up to 50% travel.

Design AI agent experiences that help employees complete complex work while preserving human judgment and accountability. Responsibilities include researching current workflows, prototyping and testing agent interactions, designing permissions, delegation, supervision, escalation, override, rollback, and recovery experiences, and defining quality metrics. The role also establishes coherent agent experience patterns across the organization and collaborates with engineering, data science, program management, and design teams to ship AI-enabled systems.