Top Tech Jobs & Startup Jobs in San Francisco, CA

Leads the technical vision, architecture, and execution of AI performance initiatives across frameworks, compilers, runtimes, systems, services, and hardware. Drives benchmarking, automation, observability, model performance, reliability, and Azure capacity efficiency. Aligns cross-functional teams, mentors engineers, resolves complex technical tradeoffs, and remains hands-on with prototyping, implementation, debugging, design reviews, and operational readiness.

Owns field awareness, activation, utilization, reporting, and continuous improvement for Azure investment and offer programs. The role coordinates cross-functional stakeholders, enables sales teams, manages field communications and content, tracks program KPIs and business impact, resolves execution blockers, facilitates global forums, and translates field feedback and analytics into recommended actions that accelerate customer adoption, pipeline, revenue, and renewals.

Build and optimize distributed services supporting large-scale reinforcement learning, LLM post-training, and production AI workloads. Improve researcher and engineer iteration loops, debug model-hardware interactions, enhance performance and reliability, and develop expertise in ML systems, AI infrastructure, compute orchestration, GPU computing, inference, and distributed training. Responsibilities also include secure coding, architecture, deployment, observability, incident response, and on-call support.

Leads sales excellence for Microsoft's Cloud & AI Platform across the Americas. Drives pipeline health, predictable revenue and consumption growth, sales methodology adoption, governance, partner insights, sales transformation, and fiscal planning. Partners with senior segment, sales, finance, and operations leaders to improve execution, resolve complex issues, and deliver four-quarter business outcomes.

Lead consultative sales and strategic customer engagements for AI Workforce solutions, including Microsoft 365 Copilot, Copilot Studio, Copilot Chat, and AI agents. Develop stakeholder networks, identify opportunities, articulate business value, orchestrate internal teams and partners, and drive cross-sell and upsell execution. Advise business and IT decision-makers, present solution use cases and competitive differentiation, and manage account strategies across territories.

Leads strategic, cross-organizational technical programs for Microsoft's Office of the USCI CTO. Translates customer business requirements into technical architectures, operating models, roadmaps, and measurable outcomes. Partners with executives, customers, engineering, product, security, and field teams to drive digital transformation and AI adoption. Responsibilities include business case development, governance, risk management, technical solution design, execution oversight, KPI analysis, executive engagement, responsible AI, and mentoring program managers.

Leads business management for Microsoft’s US Financial Services organization, overseeing AI experimentation, budgeting, workforce planning, operating rhythms, strategic initiatives, organizational health, communications, and continuous improvement. The role partners with senior cross-functional leaders to align investments, talent, execution, and responsible AI adoption. It also manages the People & Culture Communications Pillar, develops operational metrics and dashboards, improves processes, and coaches team members.

Design, debug, and ship features for Azure Storage at planet scale. Collaborate with stakeholders to define requirements, produce designs, optimize and refactor code, and improve service reliability, performance, and observability. Act as a DRI, participate in on-call rotations, drive automation to improve quality, and mentor other engineers while scaling services to handle exabyte workloads.

Own end-to-end data science and AI projects for Microsoft’s AI infrastructure. Analyze fleet-scale telemetry and experimentation data, build scalable predictive and prescriptive models, and translate insights into reliability, efficiency, capacity-planning, and customer outcomes. Partner with engineers, stakeholders, and customers to define problems, communicate findings, guide adoption, and promote responsible AI practices. The role also requires production ML deployment, software engineering practices, and consulting influence.

Secures Microsoft Windows products and devices through security design reviews, code reviews, penetration testing, vulnerability research, fuzzing, and mitigation development. Builds reusable security review tools, identifies vulnerabilities across operating system features and devices, evaluates architectural risks, and partners with product engineering teams to implement scalable defenses. The role also involves engaging with external security researchers and communicating the business value of security investments.