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

The Staff Software Engineer will design and develop scalable data ingestion systems using streaming and batch technologies, lead technical initiatives, automate datasets lifecycle management, and mentor team members.

Lead the vision and strategy for Global Growth Systems at Salesforce, transitioning marketing to adaptive, AI-driven growth systems, and architecting intelligent engagement across channels.

The Commercial Account Executive will manage customer relationships in the Financial Services sector, focusing on upselling and acquiring new accounts while developing strategic plans aligned to customer objectives.

Lead the Unified Knowledge Services team at Salesforce, driving enterprise data initiatives and AI integration to enhance customer engagement and operational excellence. Collaborate with cross-functional teams to ensure successful data delivery and product strategy execution across the organization.

The Product Marketing Director at Salesforce owns the technical narrative for MuleSoft, developing keynotes, demos, and market engagement strategies to articulate the integration solutions provided by MuleSoft in the AI-driven enterprise.

The AI Cloud Architect will drive innovation in agentic AI systems, working on architecture, customer collaboration, and technical communication.

The job involves leading AI research and engineering projects, developing large-scale models, collaborating with teams, and contributing to groundbreaking AI applications.

As a Software Engineer, you'll architect, design, implement, and test scalable products, collaborating with engineers and product managers to enhance the platform's features.

The AVP will lead sales for Banking, Wealth & Asset Management, develop customer acquisition strategies, maintain key relationships, and manage the sales process.

The Principal Decision Scientist will lead complex data analyses, develop evaluation frameworks for AI systems, design experiments, and influence product strategy through statistical insights in a collaborative environment.