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

The Technical Product Marketing Manager will develop compelling messaging for Anaconda's AI and data science tools, lead go-to-market strategies, and engage with the open source community to enhance product adoption and positioning.

The Sr. Director of Revenue Enablement drives strategic sales transformation, develops enablement programs, integrates AI tools, and leads a team to improve sales outcomes.

As a Senior Technical Program Manager, you will drive program strategy and execution across multiple engineering initiatives, managing risks, and improving processes while collaborating with engineering and product teams.

The Product Operations Manager guides products through development stages, maintains operational tools, and drives improvements across teams to enhance execution and productivity.

The GTM Engineer will design and improve automated workflows for Sales, Marketing, and Customer Success, utilizing AI-powered systems to drive efficiency and revenue. Responsibilities include engineering execution layers and developing real-time data processing solutions while partnering with GTM leaders to measure impact.

The Mid-Market Account Executive is responsible for driving sales and building relationships with mid-market clients, managing the sales cycle, and collaborating with cross-functional teams to deliver solutions that enhance business outcomes.

Lead and scale Deal Desk operations: support complex deal negotiation, CPQ/quoting and contract issues, ensure ASC 606 compliance, integrate AI workflows, drive Quote-to-Cash improvements, and partner with Revenue, Legal, and Finance to streamline processes and enable faster deal execution.

As a Senior Business Systems Analyst, you'll manage SaaS portfolios, identify AI automation opportunities, gather requirements for engineering, and provide insights into cross-functional initiatives.

The QA Automation Engineer will design and implement test automation frameworks across Web, CLI, and API platforms, drive CI/CD automation, and ensure product reliability by debugging and fixing defects.

The Manager of IT Systems Engineering will lead IT teams, manage enterprise IT systems, advance identity governance, and drive AI automation across IT operations.