Jobs at Dropbox

Lead full‑stack design and delivery of customer-facing web experiences (Browse, Navigate, Preview). Own architecture, APIs, data models, rollouts, observability, on‑call readiness, and cross-team alignment, using approved AI-assisted workflows while ensuring technical quality and reliability.

Lead and grow a data engineering team that builds and operates ingestion, transformation, orchestration, and serving layers and a self-serve analytics substrate. Own data quality, observability, cost efficiency, SLAs, and engineering practices while partnering with Data Science, BIE, Analytics, and Product to deliver reliable, reusable data products.

Lead and scale Product Marketing operations: build operating models for messaging lifecycle, portfolio and roadmap visibility, PMM launch governance, cross-functional decision rights, templates, reporting, and AI/automation-enabled workflows to improve launch readiness and go-to-market execution.

Lead vision and execution for Dropbox's next-generation design system and experience platform. Build reusable patterns, components, tokens, accessibility standards, and operating models to scale product quality across web, mobile, desktop, and AI experiences. Partner with product, engineering, research, brand, and leadership to drive adoption, governance, measurement, and high-fidelity front-end implementation while managing and developing a multidisciplinary team.

Lead and scale global B2B revenue operations to enable predictable growth across SMB, Mid-Market, and Enterprise. Own revenue planning, forecasting, incentives, systems, analytics, GTM infrastructure, and cross-functional execution. Build and lead a Revenue Operations organization, improve forecast accuracy, enable new product launches, and drive operational improvements through data and AI-enabled solutions.

Own the full sales cycle to build pipeline, close and renew deals for Dropbox's product suite and emerging AI products. Prospect net-new customers, execute outbound efforts, apply qualification and value-selling frameworks, forecast and manage pipeline, and collaborate cross-functionally to influence GTM and product strategy.

The Senior Director, Head of Scaled Sales will lead the development of a sales-assisted growth model, utilizing data-driven strategies and close collaboration with marketing and analytics to boost conversion and efficiency.

The role involves leading application performance improvements across multiple platforms, focusing on measurable metrics and driving engineering standards and workflow optimization, using both hands-on coding and strategic influence.

Own and grow strategic distribution and ecosystem partnerships across AI, hardware, developer, and SaaS ecosystems. Identify opportunities, build business cases and financial models, lead commercial negotiations, manage partnership lifecycle, and collaborate cross-functionally to drive customer acquisition, product adoption, and revenue growth while using data and AI-enabled tools to optimize outcomes.

Lead global field and partner marketing to drive Sales-Led Growth (SLG) and partner-sourced pipeline. Own regional GTM strategy, ABM, mid-to-bottom funnel demand, partner co-marketing with AI ecosystems, PLG-to-SLG monetization, sales alignment, events, and scaling a multi-disciplinary global marketing team tied to pipeline outcomes.

Lead design vision and execution for Dropbox's multi-product ecosystem, crafting high-trust AI-powered experiences that activate customer content. Drive strategy through execution, mentor designers, partner with cross-functional teams, and raise design quality across interaction, systems, prototyping, and implementation to deliver elegant, trustworthy product experiences.

Serve as a client-facing compensation partner advising senior leaders and HR on program design, market benchmarking, job pricing, review cycles, and global practices. Perform data-driven analysis, recommend competitive and fair solutions, design enterprise compensation programs, support recruiting and new hire offers, and deliver training and change management.

Lead long-term technical strategy and execution across multiple teams, architecting and evolving foundational frontend/backend systems and platforms at massive scale. Drive AI/ML adoption, solve ambiguous, high-impact problems, remain hands-on in critical system design and implementation, and align senior leaders on roadmaps and engineering standards.