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

The Lead AI Engineer will develop AI and ML systems with a focus on intelligent decision-making and data pipelines to improve agent performance and continuous learning.

Responsible for innovating and maintaining distributed systems for cloud infrastructure, focusing on automation tools, debugging, and developing resilient services while ensuring high availability and performance.

The role involves engaging with large enterprise customers, managing strategic accounts, building relationships, and driving sales of Salesforce's CRM products in the Tech and Media sectors.

The Sales Strategy Manager will guide sales operations by orchestrating Go-To-Market strategies, defining performance metrics, and executing high-impact projects collaboratively with cross-functional teams. This includes managing sales forecasts and creating executive presentations.

As an Enterprise Account Executive, you'll drive sales of the Salesforce Customer 360 platform, manage key accounts, and ensure customer satisfaction. Responsibilities include developing relationships, coordinating resources, and driving account strategy.

The role entails engaging with existing customers and new leads to drive sales of the Salesforce Customer 360 platform while building strong relationships with key stakeholders.

The candidate will lead content development for Salesforce's Missionforce CX, focusing on strategic planning, creation, and editing of enablement materials, while collaborating across teams to enhance customer success.

The role involves enhancing Salesforce's GovCloud infrastructure through automated CI/CD pipelines, troubleshooting, and ensuring security compliance while collaborating with internal teams to support government customers.

The Customer Success Manager ensures high-value customers achieve a significant return on their investment by providing strategic advice, managing deliverables, and driving product adoption through collaboration and technical health management.

The Principal AI Engineer will design and build agent harnesses, CI/CD pipelines, and evaluation frameworks for autonomous AI agents. Responsibilities include managing infrastructure, optimizing performance, ensuring security, and facilitating continuous improvement in machine learning initiatives at scale.