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

Lead and coach a regional Safety Response team handling high-risk user safety cases, own regional operational outcomes (utilization, SLAs, quality), personally manage complex escalations (20-30% casework), partner with Product/Policy/Legal, drive process and tooling improvements, and translate frontline insights into policy and product recommendations within a 24/7 operations model.

Build and maintain canonical safety datasets and analytics products (dashboards, reports, agentic workflows). Partner with Engineering, Research, and Data Science to define, instrument, and communicate safety metrics, ensure data quality, and enable stakeholders and AI agents to extract reliable insights to inform product decisions and strategy.

Design, implement, and optimize software for robotics data collection and evaluation across diverse hardware. Own hardware integration lifecycle, develop robot control interfaces, build automation tooling for policy evaluation, and lead data collection, visualization, and quality control while collaborating with cross-functional teams.

Build end-to-end full-stack product workflows and backend services for AI-powered security: vulnerability discovery, scanning, red teaming, findings review, remediation, and reruns. Design APIs, data models, async orchestration, durable state, and integrations; improve reliability, observability, and user trust while partnering with security researchers and product teams.

Manage and grow a team of AI Deployment Engineers to drive AWS-aligned partner and customer production deployments of generative AI and ML. Own technical strategy, architecture guidance, escalations, enablement frameworks, cross-functional collaboration, and operational excellence to scale adoption of OpenAI technologies within the AWS ecosystem.

Lead and develop a high-performing engineering team focused on foundational identity services, ensuring reliability, security, and performance in distributed systems.

As a Senior Privacy Engineer, you'll design and implement privacy mechanisms, collaborate across teams to ensure compliance, and mentor engineers.

The role involves prototyping and developing intelligence systems, analyzing requirements, delivering solutions, and collaborating with technical teams to address intelligence challenges using data analysis.

As a Training Performance Engineer, you will optimize large-scale distributed training processes, analyze performance bottlenecks, and collaborate across teams to ensure efficient GPU utilization and throughput.

The Partner Solutions Architect will drive technical engagement with systems integrators, maintaining relationships with stakeholders to ensure successful AI solutions deployment and delivering strategic guidance.