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

Drive technical pre-sales engagements for Microsoft Security: build demos/PoCs, lead hands-on workshops, design secure cloud architectures, resolve technical blockers, and advise customers on improving security posture using Microsoft security products and AI-enabled solutions.

Leads regional enterprise security sales by serving as a cloud security expert, shaping opportunities, advising account teams, managing executive relationships, and orchestrating technical teams and partners. Conducts architecture reviews, demos, proof-of-concepts, pilots, ROI/TCO analyses, and consultative engagements to promote Microsoft security solutions, Zero Trust adoption, and customer business outcomes.

Leads enterprise customer accounts through digital transformation initiatives focused on Cloud, AI, Copilot, business processes, and security. Develops and executes account plans, drives revenue and market-share growth, orchestrates Microsoft solution teams, builds executive relationships, identifies new business opportunities, and delivers customer outcomes through complex enterprise deals and partner collaboration.

Designs and leads customer-facing cloud and AI application engagements on Microsoft Azure, from architecture and proof of concept through production deployment. The role delivers secure, scalable, resilient solutions using Azure AI Foundry, AKS, App Service, APIM, GitHub, containers, and serverless technologies. Responsibilities include technical delivery ownership, application modernization, customer workshops, production readiness, escalation support, cloud consumption growth, and collaboration with executives, developers, engineering teams, and Microsoft product groups.

Design and implement scalable first-mile networking solutions for Microsoft 365 Substrate and COSMIC. Drive design, dependency identification, coding, optimization, debugging, and on-call monitoring. Analyze production telemetry to improve reliability, performance, and observability. Act as a DRI, lead design and release plans, and collaborate with stakeholders to meet product requirements at global scale.

Own a security detection portfolio covering threat actors, techniques, and partner platforms. Author and optimize KQL detections, review partner submissions, manage coverage-versus-noise tradeoffs, and use automation and AI-assisted tools to improve the detection lifecycle. Partner with threat hunting and investigation teams, lead detection response during incidents, maintain evidence-backed coverage metrics, and provide leadership updates.

Leads complex, cross-organizational cybersecurity programs from strategy through execution, adoption, and measurable outcomes. Develops governance, roadmaps, operating mechanisms, automated workflows, and success metrics; manages risks, dependencies, priorities, and tradeoffs. Partners with engineering, security, operations, compliance, and executives to align stakeholders, remove blockers, and drive accountability. Uses AI, telemetry, and data-driven insights to improve decisions and delivery while creating scalable cybersecurity capabilities.

Leads customer-facing cloud architecture engagements across Azure AI, applications, infrastructure, and data workloads. Advises executives, designs secure and scalable solutions, guides implementation and operational excellence, resolves technical blockers, oversees strategic account delivery, and accelerates Azure adoption. The role also includes mentoring peers, contributing technical thought leadership, supporting proposals, maintaining cloud certifications, and helping enterprise customers adopt AI and modernize applications at scale.

Leads customer-facing cloud and AI data platform architecture on Microsoft Azure. Designs secure, scalable, resilient, and performance-optimized solutions; leads architecture sessions, proofs of concept, deployments, and modernization initiatives. Advises technical and business leaders, supports partners and sales teams, manages delivery risks, drives adoption and consumption, mentors colleagues, contributes to reusable frameworks and intellectual property, and influences product roadmaps through customer insights.

Build and operate production-quality AI framework, runtime, benchmarking, performance, automation, observability, and developer-tooling systems. Optimize large language model training and inference across GPUs and Microsoft hardware, diagnose cross-stack reliability and performance issues, and improve model onboarding, hardware utilization, Azure efficiency, and deployment speed. Senior engineers own major components and projects; Principal engineers define technical direction, architecture, and multi-release strategy while leading cross-team initiatives and mentoring technical leaders.