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

The Assistant Controller will lead the accounting function, manage financial operations, oversee audits, and implement systems for a growing AI company.

Provide embedded legal counsel to product and engineering on privacy, IP, and consumer protection; lead Arena's global privacy program (GDPR, CCPA/CPRA, cross-border transfers); advise on AI governance and responsible deployment; support commercial contracts and data flow frameworks; build privacy processes, playbooks, internal agents, and legal-tech integrations to scale operations.

The Senior Software Engineer will own feature development from design to deployment, focusing on user feedback and collaboration with ML researchers.

Lead design and scaling of People programs (onboarding, performance, compensation), advise leaders on org design and employee relations, build lightweight processes, manage compliance, and drive culture and headcount planning for a growing AI startup.

Lead Arena's email and lifecycle strategy to drive onboarding, activation, retention, and re-engagement. Design multi-channel lifecycle programs, build segmentation and automation infrastructure with Product and Engineering, run A/B and multivariate tests, analyze performance, and write compelling lifecycle copy for technical audiences.

Responsible for designing experiments to evaluate AI models, developing evaluation methodologies, analyzing performance data, and collaborating on production insights.

The Product Solutions Engineer will integrate AI models with clients, deliver evaluations, improve processes, and collaborate on product development.

The Technical Recruiter will manage full-cycle recruiting, partner with hiring managers, and promote inclusive hiring practices while maintaining a strong candidate experience.

The Machine Learning Scientist will lead open-source research, design experiments, develop novel methodologies, and analyze large-scale data to advance AI model evaluation and transparency.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.