Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead Global Channel Sales Rhythm of Business (RoB) and Global Channel IAR, deliver executive reporting and partner performance insights, standardize MBR/QBR templates, drive sales execution transformation, tool adoption, and end-to-end sales operations including quota, territory, and partner record management.

Drives cloud and AI sales growth among digital-native, AI-first, SaaS, and technology companies. Builds executive relationships, identifies and closes strategic opportunities, guides customers through AI transformation and application modernization, expands Azure consumption, manages pipeline and forecasting, and coordinates with engineering, customer success, partners, and ecosystem organizations to accelerate adoption and customer outcomes.

Leads and develops site reliability engineers responsible for highly available, secure, compliant Substrate services in regulated environments. Owns operational health, SLOs, incident response, post-incident reviews, disaster recovery, game days, automation, telemetry, and operational excellence. Partners with engineering, product, security, compliance, infrastructure, and operations teams to embed reliability into service design. Provides hands-on on-call leadership, shapes cross-organizational reliability strategy, and develops senior and principal engineers.

Lead a cross-discipline engineering team delivering production-ready AI-enabled solutions. Own portfolio delivery, coach engineers and TPMs, model engineering excellence, drive operational rhythms, and apply responsible AI practices to accelerate outcomes.

Work with customers and cross-functional teams to design and implement cloud-based solutions. Write and reuse code, produce design documents, estimate and decompose work, contribute to open-source assets, collaborate with product teams, and act as an on-call DRI to monitor and restore services. Stay current on tooling and practices to improve reliability, performance, and observability.

Lead a cross-discipline engineering and data science team in a Forward Deployed Engineering model, owning delivery from problem definition to production. Coach and develop talent, drive portfolio and delivery leadership, model engineering excellence, and apply AI-forward practices, reusable patterns, and responsible AI to deliver customer outcomes.

Leads large-scale technical programs transforming Microsoft datacenter delivery. Drives cross-functional planning, execution, reporting, process improvements, and decision-making across engineering, construction, networking, finance, and operations teams. Uses technical expertise in datacenter systems and analytics to deliver projects on schedule, within budget, and with high quality. Manages ambiguity, executive stakeholders, risks, schedules, budgets, and organizational efficiencies across hyperscale cloud infrastructure initiatives.

Leads go-to-market strategy and execution for AI business solutions, including Copilot, agents, and AI consumption offerings. Develops localized growth plans, competitive positioning, product messaging, partner programs, sales enablement, pipeline acceleration, and performance metrics. Coordinates virtual, cross-functional teams across sales, marketing, finance, engineering, consulting, customer success, partners, and field organizations to drive customer acquisition, usage, revenue, and market share.

Design, implement, and operate highly scalable Azure Compute services and full-stack features. Collaborate on requirements, design docs, and dependency management. Drive reliability, performance, observability, and incident response as a designated responsible individual and on-call engineer.

Develop and execute go-to-market strategies for Microsoft's Frontier Transformation priorities across the Americas. Create customer engagement motions, field enablement resources, playbooks, and activation programs that connect business outcomes to technology solutions. Lead cross-functional collaboration across Sales, Services, Marketing, Customer Success, Product, and Industry teams. Analyze customer, sales, and usage signals, define success metrics, monitor program adoption, and provide executive-ready insights and recommendations.