Top Tech Jobs & Startup Jobs in San Francisco, CA

Manage multiple high-visibility cybersecurity engagements, coordinate cross-functional resources, support incident response, communicate with stakeholders, document incidents, improve processes, triage feature requests, develop offerings, and provide operational and field-training support amid ambiguity and security crises.

Leads customer-facing Azure cloud and AI architecture engagements for federal customers. Advises executives, designs secure and scalable solutions, orchestrates Microsoft, partner, and customer technical teams, manages risks and dependencies, and drives projects from strategy through implementation. The role also supports Azure consumption, technical pre-sales, partner enablement, reusable intellectual property, and successful adoption of mission-critical cloud platforms.

Leads enterprise cloud architecture and delivery for federal customers across Azure AI, applications, infrastructure, and data workloads. Acts as a trusted advisor to executives, shapes cloud and AI strategies, coordinates Microsoft, partner, and customer teams, manages technical risks and dependencies, and guides secure, scalable implementations. Drives Azure adoption, consumption, operationalization, and measurable business outcomes while mentoring peers, developing repeatable intellectual property, and translating complex technical concepts into executive-level messaging.

Own and exceed a Dragon Copilot sales quota across Western U.S. health systems and integrated delivery networks. Drive net-new sales, expansions, renewals, and migrations from legacy Nuance solutions. Engage executive stakeholders, lead clinical value and ROI discussions, manage complex enterprise deals, coordinate Microsoft teams and partners, maintain pipeline forecasts, and support customer adoption. The role requires technology sales experience, healthcare-provider selling expertise, knowledge of EHR integration and clinical applications, and familiarity with Microsoft and Nuance solutions.

Design, build, and deploy secure, scalable cloud and AI solutions from prototype through production. Partner with customers and multidisciplinary teams to translate business needs into technical solutions, apply modern engineering practices, improve reliability, and deliver measurable outcomes. Create reusable frameworks, guide teams through ambiguity, mentor engineers, communicate technical tradeoffs, and support customer adoption through coaching and documentation.

Leads design and development of Azure Compute Fleet capabilities orchestrating Virtual Machine Scale Sets across regions. Designs distributed control-plane services, APIs, and workflows for capacity placement, scaling, failover, and lifecycle management. Drives AI-enabled engineering productivity, partners across Azure teams on architecture and delivery, and serves in on-call and live-site reliability rotations.

Lead end-to-end operations for large-scale AI supercomputers, coordinating engineering, datacenter, business, and customer teams. Drive workload reliability, infrastructure availability, incident response, repair and recovery, maintenance, operational readiness, SLA performance, and risk mitigation. Translate customer needs and operational lessons into scalable improvements in observability, automation, tooling, and processes across the Azure supercomputing fleet.

Leads technical sales engagements for Microsoft cloud and AI solutions. Conducts proofs of concept, hackathons, coding sessions, and architecture workshops to drive adoption of AI Foundry, Azure AI, and Responsible AI. Designs secure, scalable, cloud-native architectures; resolves technical blockers; collaborates with engineering teams; and guides enterprise customers through AI application modernization, deployment workflows, orchestration, and production adoption.

Manages a strategic portfolio of ISV partners across the Americas, developing joint business plans, driving Microsoft Cloud and AI adoption, coordinating co-selling and go-to-market strategies, managing pipelines, and expanding partner capabilities. Builds executive relationships, influences partner strategy, resolves escalations, tracks performance through business reviews, and drives cloud consumption, marketplace transactions, and enterprise sales growth.

Leads complex enterprise ERP and AI business application sales opportunities across the Americas. Engages customers, partners, and Microsoft account teams to identify business-process opportunities, gather requirements, develop solution demonstrations, build value cases, negotiate deals, and drive opportunities through production deployment. Focuses on Copilot, agentic ERP, Dynamics 365, customer consumption, strategic account planning, demand generation, and closing enterprise opportunities in multiple industries.