Top Tech Jobs & Startup Jobs in San Francisco, CA

Leads complex, cross-organizational cybersecurity programs from strategy and problem definition through execution, adoption, and measurable outcomes. Establishes governance, roadmaps, operating mechanisms, automated workflows, and success measures. Aligns engineering, security, operations, risk, compliance, and executive stakeholders; manages dependencies, risks, tradeoffs, and competing priorities. Uses AI, telemetry, and data-driven insights to improve decisions and delivery, while communicating program status, recommendations, and risks to senior leadership.

Leads Microsoft's Frontier Accelerate for Security program for Defender Threat Protection, coordinating product, sales, and program execution. Provides deal coaching, manages technical proofing and investment offers, tracks program utilization and sales performance, and delivers actionable insights. Partners with product, engineering, and field teams to enable new capabilities, improve seller readiness, accelerate security workload adoption, and strengthen go-to-market outcomes.

Drive execution and adoption of Value Acceleration Services for the AI Business Solutions portfolio. Translate strategy into scalable programs, enable field and sellers, align cross-functional stakeholders, design adoption initiatives, track performance with data-driven insights, and continuously optimize the portfolio to accelerate customer value and growth.

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.

Design, implement, and maintain high-scale, multi-tenant secure services. Collaborate with cross-functional teams, build automation and resilient components, support live services (including Azure air-gapped regions), participate in on-call rotations, and ensure service reliability and security.

Design and develop secure, performant Copilot products and platform services across Windows, Mac, and mobile. Build distributed systems and agentic AI experiences that reason, plan, and execute tasks. Collaborate with infrastructure, platform, application engineering, and research teams; ship tested, maintainable code; and improve development practices through AI coding agents, prompt design, and human-in-the-loop workflows.

Lead design and delivery of production-ready cloud and AI systems while embedding with customer teams. Own end-to-end architecture, secure coding, CI/CD, testing, observability, and operational excellence. Mentor engineers, drive adoption, create reusable assets, and coordinate complex deliveries to achieve measurable business outcomes.

Create and ship expressive interactive graphics for Copilot using coded motion, custom shaders, procedural visuals, and real-time browser rendering. Partner with engineering to build production-ready, accessible, responsive components and reusable graphics systems. Optimize CPU/GPU performance, loading, memory, and input responsiveness across browsers and devices. Mentor designers and engineers through critique and code review while balancing artistic expression, usability, accessibility, and graceful degradation.

Design, build, test, and operate production-grade, secure, and scalable software and services. Partner with customers and stakeholders to translate needs into technical designs, drive engineering best practices (CI/CD, automated testing, observability), deliver end-to-end solutions, and lead technical workstreams. Apply AI/LLM techniques, reusable components, and a security-first mindset while collaborating across disciplines.

Lead customer-facing cloud and AI solution architecture engagements focused on Microsoft 365, Copilot Studio, Power Platform, and Azure. Design, build, troubleshoot, and deploy secure, scalable Agentic AI solutions; resolve production blockers; guide adoption and business transformation; advise executive stakeholders; support pre-sales and partner engagements; manage factory delivery programs; mentor teams; and provide product feedback and technical leadership.