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

As an Onboarding Manager, you'll lead the onboarding process for Figma's largest customers, ensuring a smooth transition from pre-sales through to successful implementation. You'll collaborate with various teams, manage customer timelines, and create training materials to enhance product adoption.

As a Technical Recruiter at Figma, you'll manage full-cycle recruiting for engineering roles, develop hiring strategies, and ensure an excellent candidate experience.

Lead and grow a cross-functional Search & Recommendations engineering team, define technical strategy and roadmap, partner with product, infra, and data teams to deliver AI-driven search and recommendation features, and contribute hands-on as needed.

The role involves driving strategic decisions through M&A, managing integration workstreams, and collaborating with executives to build an integration function at Figma.

The Tax Manager will oversee tax compliance, financial reporting, and internal controls. They will manage tax audits and support strategic tax projects in collaboration with stakeholders.

Lead a team of engineers to develop billing systems and manage the end-to-end payment processes to enhance user experience and support Figma's growth.

The Director of IT leads IT Operations, Engineering, and AI strategy at Figma, ensuring scalable infrastructure and fostering AI adoption. They manage a team, establish KPIs, oversee IT vendor relationships, and collaborate with cross-functional teams for compliance and system integrity.

Lead the Interaction Design team at Figma, focusing on improving runtime APIs for interactive experiences, mentoring engineers, and collaborating with product leadership.

Lead and manage a team of Education Designers to create multimedia learning resources for Figma users, ensuring quality and alignment with product launches. Provide coaching and establish team rhythms.

As a Software Engineer in Data Infrastructure at Figma, you will design and manage large-scale data systems, ensuring reliability and scalability while collaborating with diverse stakeholders to build high-performance data platforms.