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

Lead ambiguous, high-priority user-safety and risk problems end-to-end: investigate signals, design and iterate scalable workflows, build lightweight tools/automations, coordinate cross-functional partners, and measure operational outcomes. Own launch-readiness, incident response, vendor coordination, and coach junior operators while improving speed, quality, and risk reduction.

Senior data scientist role focused on measuring and improving AI-agent security. Define metrics and evaluations, build data foundations, strengthen detection and response, run experiments, and translate analysis into product and security improvements across engineering, product, and research teams.

Lead global B2B enterprise paid marketing and demand generation across channels, build and scale ABM, align media with sales to drive pipeline and revenue, design experiments and attribution frameworks, and deploy AI-enabled creative and optimization workflows.

Lead global B2B paid acquisition across Paid Search, Paid Social, Programmatic, and Affiliate channels. Define channel strategy, plan budgets, optimize full-funnel performance, drive experimentation and incrementality measurement, build AI-enabled workflows, and partner cross-functionally with Sales, GTM, product, and analytics to connect media to pipeline and long-term customer value.

Lead global consumer paid acquisition across Paid Search, Paid Social, Programmatic, Affiliate, and emerging channels. Define channel strategy, manage large budgets, optimize full-funnel consumer journeys, run experimentation and incrementality measurement, partner cross-functionally, and build AI-enabled creative and optimization workflows to scale international growth.

The Research Engineer/Scientist will advance AI through innovative RL methods, focusing on training general-purpose agents and enhancing existing ML systems.

Lead on-site technical authority for datacenter hardware reliability and fleet health. Troubleshoot complex hardware failures, drive root cause analysis and corrective actions, coordinate with vendors and cloud providers, establish maintenance standards and runbooks, support new hardware introductions and spare parts strategy, mentor technicians, and analyze failure trends to improve reliability across large-scale GPU and server deployments.

Lead design and execution of human data collection campaigns for AI research. Partner with researchers, vendors, and engineers to scope needs, define success metrics, build dashboards, analyze data with SQL/Python, unblock execution, and drive technical roadmaps and security best practices to scale program impact.

Design and build distributed systems for failure detection and observability in AI training jobs, enhancing reliability and performance at scale.

The Solutions Architect will partner with startups to develop and scale Generative AI applications, providing technical guidance and prototyping support, while synthesizing feedback for product improvement.