Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead the technical skilling strategy for Microsoft Security Solutions Specialists by defining frameworks, identifying capability gaps, using data-driven insights, partnering with product and sales, and driving AI-enabled learning to improve seller effectiveness, pipeline quality, and business outcomes globally.

Design and implement PostgreSQL internals and indexing strategies for large document workloads; extend the query engine with BSON-aware operators and custom scan nodes; tune index pruning and storage; profile distributed system performance; contribute to open-source DocumentDB communities; perform design/code reviews and collaborate across teams to ship scalable, high-performance database features.

Design and implement PostgreSQL internals and indexing strategies to support large-scale document workloads; extend the query engine with BSON-aware operators and custom scan nodes; tune index pruning and profile distributed systems for performance; collaborate across open-source DocumentDB communities; lead design/code reviews and drive cross-team alignment.

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.

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.

Leads technical sales for Azure cloud and AI infrastructure solutions. Designs secure, scalable, resilient architectures; conducts demos, proofs of concept, workshops, and architecture sessions; guides customers through workload migration, modernization, containerization, networking, security, compliance, and optimization. Partners with engineering and enterprise platform teams to resolve technical blockers, support deployments, and build trusted relationships with technical and business stakeholders.

Leads consultative security sales opportunities by understanding customer needs, designing and demonstrating security solutions, managing territory pipelines, forecasting, and coordinating Microsoft and partner teams. Develops customer and stakeholder strategies, drives licensing and consumption, supports cross-selling and upselling, provides technical security expertise, and evaluates opportunities. The role focuses on Microsoft Security and cloud security technologies across enterprise, regulated, and partner customers.

Leads customer-facing cloud and AI architecture engagements across Azure workloads, advising executives, designing secure and scalable solutions, guiding implementation, resolving technical blockers, and driving cloud adoption. The role owns technical delivery for strategic accounts, supports proposals, mentors peers, and helps enterprises modernize applications, optimize infrastructure, and scale production AI solutions.

Leads enterprise architecture, AI-powered transformation, and outcome-based solution strategy for Microsoft’s U.S. Commercial Industries organization. Partners with executives, customers, engineering, product, sales, and consulting teams to design scalable architectures, reusable engineering frameworks, and AI-enabled solutions. Establishes governance, metrics, best practices, and innovation models while mentoring customer engineering and AI teams. Drives cross-functional collaboration, technical program execution, customer-focused decision-making, and responsible technology adoption.

Design, develop, and maintain scalable AI-forward APIs, MCPs, and services for Microsoft 365. Lead features from concept through launch, create reusable code, estimate and decompose work, monitor production systems on call, improve reliability and scalability, and mentor engineers. Collaborate across teams to solve complex technical problems and establish engineering best practices.