Top Tech Jobs & Startup Jobs in San Francisco, CA

Lead workforce and resource planning for MCAPS-Core, managing FTE and vendor investments, governance, forecasting, and optimization. Advise senior leaders on organizational design, drive AI-enabled automation and efficiency, and translate resource data into strategic recommendations to align investments with business priorities.

Design, implement, test, and operate production-quality AI framework components, benchmark and optimize large-model training and inference on GPUs and Microsoft silicon, build automation and observability, drive cross-team projects from definition through deployment, and mentor engineers to improve model onboarding, performance, reliability, and platform efficiency.

Drive technical sales through demos, PoCs, hackathons, and architecture workshops; co-design secure, scalable cloud database and analytics solutions; resolve technical blockers with engineering; guide migrations from on-prem to Azure; maintain deep product knowledge and represent Microsoft in community forums.

Lead, coach, and grow a high-performing Account Executive sales team to drive digital transformation and cloud adoption for corporate accounts. Own talent acquisition, territory and pipeline management, partner orchestration, executive engagement, renewals, forecasting, and business planning to achieve revenue and customer adoption goals while promoting customer obsession and cultural leadership.

Drive cross-organization technical programs for Azure Specialized Compute, support key customers and partners, manage complex projects end-to-end, mentor junior team members, and partner with Product Management to scale HPC and GPU-accelerated cloud offerings.

Design and deliver scalable, resilient AI and Kubernetes infrastructure for hybrid environments. Implement, optimize, and maintain cloud-native and container orchestration solutions, integrate AI capabilities, participate in on-call rotations, mentor engineers, and improve availability, performance, observability, and operational consistency at scale.

Lead process optimization and tooling transformation for global fiber and network workflows. Coordinate cross-functional teams to design, deploy, and monitor AI-powered automation and tooling, improve data quality, standardize practices, and drive operational excellence and change management.

Design, build, and maintain cloud-based solutions; collaborate with customers, product teams, and partners; develop reusable, high-impact patterns and open-source assets; act as DRI, monitor and restore services, drive design and release plans, and mentor other engineers to improve reliability, performance, and observability.

Lead vision and roadmap for Brain Health & Detection, using AI/ML and telemetry to improve anomaly detection, signal correlation, alert quality, and automation. Partner with engineering and data science to deliver scalable detection models, set success metrics, drive product execution, influence senior stakeholders, and mentor product managers to advance AIOps capabilities.

Lead customer and partner engagements to identify, qualify, and accelerate high-value cloud and AI sales opportunities. Use AI-driven market intelligence and analytics to inform strategy, drive pipeline hygiene, forecast accuracy, and enable secure, cloud- and AI-driven transformations. Coordinate cross-organizational resources and partners to execute deals, coach teams on adoption and consumption, and align solutions to customer business priorities.