Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead product strategy and roadmap for GPU instances, clusters, and AI infrastructure. Manage full product lifecycle, build business and technical models, drive go-to-market and partner integrations, translate AI/HPC workload needs into specifications, and oversee GPU infrastructure operations and lifecycle decisions.

Lead and mentor SRE teams; partner with engineering, operations and product; apply statistical analysis and networking expertise to diagnose performance and reliability issues; define and implement data feeds; influence technical decisions and investments; build tooling to automate analytical workflows and increase platform reliability.

Build and operate model validation, quantization, and safety systems for production ML. Develop pipelines for security scanning, optimization (quantization/pruning), routing, prompt management, and evaluation frameworks measuring accuracy, performance, and safety across model lifecycles.

Lead test strategy and build scalable automated test frameworks for a custom Linux kernel. Validate performance, reliability, and security; develop test suites for kernel enhancements and VM software; debug low-level system issues; enhance CI/build automation; provide technical leadership and mentor junior engineers.

Serve as a pre-sales technical advisor: run demos, CARs, and POCs; design scalable, secure CDN and edge architectures; guide customers on WAF, API security, bot management, zero trust, DevOps integrations and AI feature adoption to drive product adoption and account growth.

Lead test strategy and build scalable automated frameworks to validate performance, reliability, and security of a custom Linux kernel for AI/Compute platforms. Design CI/CD and build automation, develop test suites for kernel and VM software, debug low-level system issues, benchmark performance, and provide technical leadership and mentoring.

Lead reliability and performance efforts for distributed metadata systems: tune and optimize systems, develop monitoring and automation, manage rollouts, troubleshoot incidents, run simulations and analytics, and support database/configuration management to improve global network stability and capacity.

Lead reliability, scalability, and observability for high-density AI hardware infrastructure. Build Python automation and IaC, design telemetry and Prometheus/Grafana dashboards, implement AI-assisted tooling and anomaly detection, manage 24x7 on-call incident response, and coordinate vendor field operations to ensure uptime.

Lead and manage cross-functional technical programs from definition to completion. Create program plans, manage risks and resources, communicate with senior leadership, align SRE/Product/Engineering teams, champion Agile/SAFe practices, and remove blockers to ensure on-time delivery.

Lead architecture, deployment, security, and governance of multi-cloud (M365, Google Workspace, GCP) environments, including GCC High. Drive migrations, automate workflows with PowerShell/Python/Apps Script/GAM/REST APIs, provide Tier 3 support, and produce documentation and SOPs while ensuring compliance with government security standards.