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

Generate actionable insights for Microsoft Advertising by integrating and analyzing large datasets, applying statistical methods, ensuring data governance, collaborating with internal and client teams, and presenting persuasive visualizations and narratives to influence senior stakeholders and drive ad investment decisions.

Lead regional Windows and device partner strategy across the Americas, driving revenue, market share, and OEM relationships (HP, HPE). Own cross-functional execution, forecasting, and go-to-market alignment to accelerate adoption of Windows, cloud, and AI-enabled device experiences. Build and develop a high-performing team, engage executive partners, and influence product and portfolio decisions to deliver measurable business outcomes.

Design and build large-scale, highly available Responsible AI cloud services. Lead architecture, development, release, and production readiness. Collaborate with engineers, scientists, and product managers to integrate Responsible AI features across Azure AI and related services, drive DevOps practices, and improve performance, observability, and reliability.

Lead design of scalable regulatory, governance, and compliance frameworks for advertising; partner across product, engineering, legal, trust & safety, and ops; identify emerging regulatory risks; drive cross-organizational programs balancing customer experience and risk; create intake, prioritization, and readiness processes; produce executive narratives and strategic roadmaps; advise senior stakeholders and build global partnerships to ensure scalable, compliant solutions.

Design, train, and evaluate Responsible AI components: fine-tune LLMs (including RLHF), build adversarial agent evaluations and safety mitigations, collaborate with engineering to deploy mitigations at scale, monitor operational performance, and troubleshoot end-to-end issues.

Define vision and strategy for AI skilling; translate customer insight into roadmaps and MVPs; prioritize investments across content, platform, telemetry, cost, privacy, and compliance; partner with Design and Engineering to ship LLM-powered learning features; measure engagement and learning outcomes; launch and grow products with marketing and partners; lead multiple squads to deliver results.

Senior individual-contributor business program manager owning CRM and seller-tooling domains end-to-end. Translate field workflows into problem statements, prioritized roadmaps, launch and adoption plans, and measurable success metrics. Partner across Product, Engineering, Sales, Data, Enablement, and Support to drive implementation, measurement, and steady-state handoff while influencing senior stakeholders and maturing operating practices.

Lead customer-facing delivery of enterprise AI solutions as product owner and technical program manager. Translate business needs into prioritized backlogs, run parallel workstreams, provide architecture-aware technical leadership, ensure telemetry and validation, manage governance/release readiness, and scale reusable delivery patterns across engagements.

Manage and coach a team of datacenter trainers to design and deliver technical workforce training, assess learning needs, close operational training gaps, partner with site managers, and align training with availability, safety, and throughput goals across global datacenters.

Design and build evaluation infrastructure for generative AI on large GPU clusters. Develop and tune pretraining software, benchmark NVIDIA and AMD GPU clusters, collaborate with model scientists, implement evaluation methods and inference strategies, and inform compute roadmap and architectural decisions to support Copilot and consumer AI products.