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

The Client Advisor develops client relationships, coordinates services across teams, manages accounts, oversees investments, and ensures trust administration compliance for ultra-high net worth clients.

The Deal Operations Associate will facilitate smooth deal execution, manage customer communications, troubleshoot issues, support SPV leads, and contribute to process improvements on a FinTech platform.

Build and lead TrashLab's sales organization: personally close new-logo ARR across SMB, mid-market and municipal haulers; recruit, train, and manage closers; establish sales processes, forecasting, and tooling; partner with Marketing and GTM Engineering on ICP, messaging, and AI-driven automation; travel frequently for deals and events.

The Growth & Business Analyst II will engage with clients, analyze market trends, support deal strategies, and enhance product knowledge to improve client satisfaction and operational efficiency.

As an Applied AI Engineer, you'll build AI workflows for SEO, design LLM systems, and optimize operational quality, collaborating closely with a team.

Lead end-to-end delivery of Pigment implementations for strategic customers. Structure complex business problems, run executive workshops, translate requirements into solution designs with Solution Architects, leverage AI capabilities, coordinate cross-functional teams, drive adoption and long-term value, and identify expansion opportunities into new use cases.

Provide commercial contracting support including drafting, review, negotiation, risk assessment, and development of standard contracts. Advise regional GCs and stakeholders, maintain compliance tracking systems, support broader legal projects, and coach Contracts Specialists.

Lead engineering projects across product lines at Harvey, focusing on AI integration and building secure applications for various platforms.

The Software Engineer (Backend) will design and develop robust server-side technologies and APIs, focusing on quality, scalability, and data integrity for the hospitality industry.

The Product Manager will develop AI-driven support systems aiming for 98% automation in enterprise operations, leading product strategy and multi-party workflows, focusing on technical excellence and customer partnership.