Top Tech Jobs & Startup Jobs in San Francisco, CA

The Senior Partner Marketing Manager is responsible for driving partner-sourced revenue through effective marketing initiatives and communications. They oversee the global partner communications plan and collaborate with various teams to ensure the success of channel and alliances partners. This role requires a minimum of 3 years of experience in channel & alliances marketing with a focus on partner messaging and communications.

The General Application/Profile Sharing allows candidates to submit their profiles for future opportunities at Datex Inc. It involves showcasing skills through resumes, indicating interests, attending networking events, and staying updated on job openings. This initiative supports consideration for various roles including software development, project management, sales, and customer support.

The Sales Relationship Manager is responsible for building and maintaining strong client relationships, tailoring solutions to meet client needs, achieving sales targets, and ensuring client satisfaction and retention through regular communication and strategic engagement.

As an Opera System Administrator, you will manage internal and external relationships to provide technical solutions, implement and optimize Oracle Opera Cloud systems, support users after implementation, and drive efficiency in integration processes through maintenance and continuous improvement initiatives.

As a Senior Manager of Customer Success at CyberFortress, you will lead a team of Customer Success Managers, engage in strategic leadership and hands-on customer management. Your role includes driving customer satisfaction, optimizing team performance, managing client relationships, overseeing customer onboarding and training, and advocating for customer needs while pursuing upselling opportunities.

As a Software Engineer at Health Catalyst, you will design, develop, test, and implement applications and backend solutions within a cloud-based architecture. You will collaborate with agile teams to enhance data governance, support secure software solutions, and contribute to team culture by mentoring and sharing knowledge.

The Principal Applied Scientist will lead the research and development of recommendation algorithms, focusing on model optimization and system scalability. They will mentor ML engineers, influence AI strategy, and collaborate with teams to enhance product innovation and customer experiences at Wizard.