Top Tech Jobs & Startup Jobs in San Francisco, CA

Manages medium-enterprise customer accounts, builds executive relationships, develops account and co-sell strategies, drives renewals, upsells, consumption, and pipeline growth, and forecasts revenue. The role coordinates Microsoft teams and partners, guides opportunities through the sales lifecycle, advocates Microsoft solutions, addresses customer issues, tracks engagement in CRM tools, and applies industry and solution expertise to support customer digital transformation.

Lead continuous improvement across AI transformation engagements by establishing kaizen-based operating rhythms, redesigning workflows, analyzing adoption and performance signals, refining prompts and agents, embedding standard work, and facilitating improvement cycles. The role drives measurable value, retires low-performing workflows and agents, and transfers continuous improvement capabilities to customer teams for sustained independent operation.

Lead services sales account strategy for multiple prioritized accounts: qualify and close cloud/AI opportunities, drive Unified contract renewals, orchestrate account teams, manage negotiations and handoffs to delivery, and maintain customer relationships to drive consumption and satisfaction.

Leads security strategy for cloud, AI, and enterprise platforms. Responsibilities include threat modeling, security design and architecture reviews, developing security guidance and reference architectures, identifying systemic risks, influencing engineering leaders, leveraging AI and automation for scalable assessments, investigating emerging attack paths, mentoring teams, and improving security methodologies and tooling.

Lead system and silicon architecture for Windows devices: define SoC requirements and roadmaps, translate workloads into system specs, drive co-design across hardware, software, and partners, build workload/system models, and guide technical decisions from early definition through silicon and product launch.

Work on end-to-end performance of LLMs: benchmark and optimize inference on Nvidia/AMD GPUs and Microsoft silicon, build tooling for profiling and deployment, accelerate model porting, and collaborate with internal and external partners to reduce hardware footprint and improve time-to-market.

Leads the global skilling strategy and multi-year roadmap for Microsoft ISV partners. Designs role-based learning journeys spanning certification, sales, technical, marketplace, co-sell, and delivery readiness. Coordinates Cloud Solution Area, engineering, marketing, sales, learning, marketplace, regional, and partner teams while influencing without direct authority. Develops activation playbooks, scorecards, business reviews, and measurable success metrics tied to partner capability, marketplace execution, designations, co-sell readiness, and business outcomes.

Leads technical sales and customer engagements for state and local government organizations adopting Azure and Microsoft Cloud. Designs secure, scalable hybrid and cloud-native architectures; conducts technical workshops, demonstrations, and proofs of concept; supports workload migration, modernization, resiliency, security, and compliance. Collaborates with engineering teams, partners, account teams, and government stakeholders while advising on AI infrastructure, enterprise applications, networking, and cloud adoption.

Leads technical presales strategy for healthcare and life sciences customers, acting as a trusted technical advisor and driving complex Microsoft solution wins. Develops architectures, demonstrations, proofs of concept, migration strategies, and digital transformation solutions. Builds customer, partner, and internal relationships; addresses security and regulatory requirements; develops competitive strategies; mentors technical communities; and scales successful solutions across accounts and markets.

Develop and operate production-quality AI framework, runtime, benchmarking, performance, automation, and observability systems. Benchmark, profile, debug, and optimize large language model workloads across GPUs and Microsoft hardware. Lead cross-stack investigations, improve model onboarding, reliability, hardware utilization, and Azure capacity efficiency, while collaborating with researchers, infrastructure teams, hardware partners, and engineers. Principal-level responsibilities include setting technical direction, defining architectures, leading strategic initiatives, and mentoring technical leaders.