Top Tech Jobs & Startup Jobs in San Francisco, CA

Secures Windows online services through security design and code reviews, penetration testing, vulnerability research, and scalable mitigations. Builds reusable security agents and automated tools, identifies attack vectors and deployment risks, demonstrates security flaws, and partners with engineering teams to improve defenses. The role requires strong security fundamentals, computer science skills, offensive security experience, and the ability to pass Microsoft Cloud security screening.

Conduct security design and code reviews, penetration testing, vulnerability research, and security architecture assessments for Windows online services. Develop reusable security tools and agents, uncover attack vectors, demonstrate vulnerabilities, create mitigations, review deployments, and partner with engineering teams to improve security for products serving billions of customers.

Leads global go-to-market strategy for AI Workforce across corporate, SMB, and partner segments. Develops segmentation, positioning, customer journeys, sales motions, partner programs, and value-realization frameworks. Aligns engineering, marketing, finance, sales, customer success, and channel stakeholders around strategic priorities. Establishes KPIs, uses business insights to guide execution, influences product and offer decisions, and drives pipeline, adoption, expansion, revenue, and renewals.

Develop and lead production AI infrastructure across frameworks, runtimes, benchmarking, performance tooling, observability, and hardware platforms. Responsibilities include optimizing large language model training and inference, building automation, diagnosing cross-stack performance issues, defining technical architecture, driving platform improvements, collaborating across research and infrastructure teams, and mentoring engineers. The role spans senior and principal-level individual contributor responsibilities focused on scalable, reliable, and efficient AI systems.

Lead global go-to-market strategy for AI Workforce offerings across corporate, SMB, and partner segments. Responsibilities include segmentation, positioning, customer journey design, partner and channel strategy, sales enablement, stakeholder alignment, KPI measurement, and executive recommendations. The role orchestrates engineering, marketing, finance, product, customer success, field sales, and partners to accelerate pipeline, revenue, adoption, expansion, and renewals.

Lead complex, cross-functional technical programs for Microsoft Entra Identity across engineering, infrastructure, product, operations, finance, and Azure. Define program strategy, plans, governance, milestones, dependencies, risks, and measurable outcomes. Coordinate migrations, architecture discussions, security and compliance, infrastructure readiness, deployment, launch, and operational readiness. Communicate program status, tradeoffs, risks, and decisions to executives and stakeholders while improving scalable execution mechanisms.

Lead architecture and technical strategy for Azure cloud-scale distributed data platforms processing network telemetry. Design streaming and batch systems focused on scalability, reliability, performance, data quality, security, and operational efficiency. Drive cross-team architectural decisions, platform capabilities, production readiness, and continuous improvement. Serve as a technical authority, mentor engineers and leaders, and influence engineering standards across Azure Networking.

Leads customer data modernization and AI initiatives on Microsoft Azure, including architecture design, proof-of-concepts, production deployments, and adoption strategies. Ensures solutions are secure, scalable, resilient, cost- and performance-optimized, while partnering with customers, sales teams, and technology partners. Provides technical leadership, mentoring, presentations, and thought leadership across Microsoft Fabric, Azure Databricks, Cosmos DB, Purview, and related data and AI platforms.

Designs and delivers secure, scalable Azure infrastructure and AI solutions for customers. Leads architecture sessions, migration and modernization initiatives, proof-of-concepts, production deployments, and technical blocker resolution across infrastructure, applications, databases, SAP, hybrid environments, and AI workloads. Partners with technical and sales teams to create business value, drive Azure adoption, develop repeatable solutions, and generate expansion opportunities. Maintains expertise through certifications, community participation, and knowledge sharing.

Designs and delivers secure, scalable, resilient Azure infrastructure and AI solutions for customers. Leads architecture sessions, migration and modernization initiatives, proof-of-concept and production milestones, and technical blocker resolution. Partners with sales and technical teams to drive adoption, customer value, and expansion. Develops repeatable implementation assets, optimizes customer environments, and applies Azure expertise across infrastructure, applications, databases, SAP, hybrid environments, and AI workloads.