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

The Commercial Counsel will draft and negotiate complex commercial contracts, partner with various teams, and drive legal efficiencies in support of Dropbox’s business goals.

Lead and grow Dropbox's most strategic technology partnerships, focusing on AI/ML and SaaS integrations. Own partnership strategy, product alignment, negotiations, joint business plans, GTM execution, and executive relationship management while collaborating cross-functionally with Product, Engineering, Sales, Marketing, Legal, and Finance to drive revenue and product adoption.

Lead technical vision and execution for enterprise-scale AI, automation, and data initiatives. Architect scalable, secure AI systems and data pipelines, mentor engineers, drive cross-functional alignment, and deliver high-impact production solutions that improve productivity and business outcomes.

Lead vision and execution for Dropbox's file storage and sharing engagement experience, defining AI-driven personalization and workflows. Partner with engineering, design, data science, and GTM to build scalable, privacy-respecting AI integrations, run experiments, set success metrics, and manage PMs to deliver measurable engagement impact across web, mobile, and desktop.

The Legal Operations Manager will oversee legal systems, optimize workflows, manage vendor relations, and drive efficiency in Dropbox's legal operations.

Lead a team of engineers to deliver customer and business outcomes, shape technical direction, and architect foundational systems for reliability at scale.

The Senior Commercial Counsel will lead procurement-related legal efforts, collaborating with cross-functional teams to enhance legal efficiency and business support.

Lead the go-to-market strategy for Dash, an AI-powered product, collaborating across teams to drive customer adoption and revenue growth while shaping its narrative and strategy.

The role involves enhancing the Dropbox Android application, solving technical challenges, collaborating with teams, and building engaging features.

As a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.