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

Owns quota-carrying sales and business development for Israeli-founded technology companies expanding in the U.S. and globally. Builds executive relationships, identifies Azure, AI, marketplace, co-sell, partner, and strategic commercial opportunities, advances complex deals, and coordinates Microsoft teams across sales, product, engineering, partnerships, and customer success. Represents Microsoft in startup, investor, founder, and technology ecosystem networks while developing repeatable engagement strategies.

Develop machine learning techniques focused on AI safety, alignment, and trustworthiness. Collaborate with product, research, and engineering teams to design, build, deploy, monitor, and iterate responsible AI systems at scale, from experimentation to production for large language models and distributed AI services.

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.

Build and operate AI-driven legal solutions for Microsoft CELA CPS: design agents and prompts, integrate first-party AI, ensure platform reliability, create adoption and reporting dashboards, support production incidents, and enable attorneys through workflows, training, and data-driven insights.

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.

Define product vision, strategy, and roadmaps for Microsoft CoreAI products. Identify customer needs and market opportunities, translate insights into requirements, prioritize features, establish success metrics, and collaborate with Engineering, Design, Research, Data Science, and Marketing from concept through launch and iteration. The role also supports responsible AI, product adoption, customer feedback loops, and performance monitoring.

Build and improve Azure Kubernetes Service capabilities for Linux and Windows containers. Develop distributed cloud infrastructure, automation, observability tooling, and reliability improvements at global scale. Support AI-native infrastructure, including GPU orchestration, model deployment, inference, and platform operations. Accelerate engineering workflows, prevent production incidents, integrate AI tools, and contribute to Kubernetes and cloud-native platform innovation.

Leads commercial strategy and execution for complex Defense Industrial Base accounts. Owns multi-year agreements, executive negotiations, pricing, risk management, compliance, forecasting, and long-term customer value. Influences Sales, Finance, Legal, Deal Desk, and Policy stakeholders without formal authority while guiding high-risk deals and improving commercial practices across the organization.

Owns Microsoft’s Americas Telco partner strategy, sales performance, forecasting, and operating model across the United States, Canada, and Latin America. Drives partner growth in Microsoft AI, Azure, Microsoft 365 Copilot, Teams Phone, and Operator Connect. Builds executive relationships with Telco partners, aligns Microsoft field organizations, leads co-sell motions, governs KPIs and business reviews, and expands partner technical capabilities, investments, and cloud consumption.

Develop and operate production AI framework components, runtimes, benchmarking systems, performance tools, and integrations. Benchmark and optimize large language model training and inference across GPUs and Microsoft hardware, build automation and observability, investigate cross-stack performance and reliability issues, and deliver scalable platform improvements. Principal engineers additionally set technical direction, lead multi-team initiatives, define architectures, and mentor technical leaders.