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

Act as the underwriting lens for an AI-first commercial brokerage: review real submissions and AI outputs daily, build an underwriting review function, gate underwriting-related releases, partner with engineers to encode underwriting judgment, provide carrier-side feedback, and flag coverage, compliance, and submission quality issues.

The role involves high-volume outbound and inbound calls to qualify and capture information from business owners seeking insurance solutions, focusing on speed and accuracy while setting opportunities for the sales team.

The Account Executive is responsible for closing high-volume SMB insurance deals using AI tools, building scalable sales systems, and significantly driving revenue growth.

The role involves tackling complex operational challenges, building systems, running analyses, and managing cross-functional initiatives to support the CEO in driving company growth and efficiency.

The Accounting & Finance Manager will build the finance department from the ground up, managing all financial processes, controls, and reporting. Responsibilities include overseeing accounting closes, budgeting, forecasting, cash management, and team leadership.

The Chief of Staff will partner with the CEO to optimize operations, drive key initiatives, and develop scalable processes, while managing investor communications and aligning cross-functional teams.

The Business Operations Associate will manage communications, streamline processes, and improve operational efficiency across various teams in a high-paced environment.

As a Founding Product Manager, you will connect engineering and business teams, prototype with AI, own product areas, and drive business outcomes while building product culture in a fast-paced startup environment.

The Recruiting Lead will build the talent function from the ground up, sourcing and closing candidates across technical and GTM roles, establishing recruiting processes, and partnering with founders on hiring strategy.

As a Data Scientist, you'll analyze data to boost growth and sales strategies, build models for lead intelligence, and implement experimental frameworks for continuous improvement.