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

The Entry-Level Account Manager will manage healthcare client relationships, ensure satisfaction, and understand medical billing and credentialing processes.

As an OPI/VRI Interpreter, you will provide interpretation services across languages, ensuring effective communication while maintaining cultural sensitivity and ethical standards.

As a Lost Assets Specialist, you'll conduct forensic research, engage with claimants, and assist in recovering assets through ethical outreach and documentation support.

Own revenue modeling, sales reporting, and commission program design/administration. Maintain ARR models, analyze GTM metrics (margin, retention, bookings), support forecasting and target setting, administer commission platform (CaptivateIQ), prepare executive reporting, and drive process improvements and automation across FP&A and GTM teams.

Define positioning and messaging, drive product launches, build sales enablement, conduct competitive and customer research, partner with GTM teams on campaigns and storytelling, and represent the customer voice internally.

P2P.org invites passionate individuals to join their Talent Community, connecting with innovative professionals for future opportunities in decentralized finance.

The Sales Representative is responsible for prospecting clients, conducting outreach, coordinating meetings, closing sales contracts, and maintaining CRM records, while working remotely in the technology sector.

As an SDR Intern, you'll support the sales team by qualifying leads, booking meetings for AEs, and assisting with follow-ups. You'll engage in outbound efforts using various channels and manage CRM tools while building strategies for lead generation.

Lead enterprise adoption and implementation of AI tools and LLMs, partner with business leaders to identify AI opportunities, design AI-driven process improvements, create SOPs and training, manage change, track adoption and impact, and ensure responsible, compliant AI usage.

Design and operate production ML systems for large-scale streaming data, ensuring reliability and performance while collaborating with researchers to integrate models into distributed systems.