Jobs at Dropbox

Own and operate the Workforce Planning operating system: plan and run governance forums and reporting, track milestones/dependencies/risks, enable adoption of tools and outputs, package and distribute insights, coordinate cross-functional delivery, build templates/playbooks, run training, and prepare executive materials to ensure consistent, scaled workforce planning operations.

Lead cross-organizational technical strategy and execution for core sharing and collaboration systems. Architect and implement foundational frontend/backend and platform solutions at massive scale, drive AI/LLM adoption, mentor engineering leaders, resolve systemic bottlenecks, and remain hands-on in critical design, prototyping, and code contributions.

Build and run Product Marketing operating systems to improve planning, portfolio visibility, messaging lifecycle, launch governance, and cross-functional accountability. Create templates, roadmaps, readiness criteria, and automation-enabled workflows; partner across functions to codify roles, decision rights, and handoffs; measure adoption and continuously improve processes to enable clearer, more consistent go-to-market execution.

Lead vision, strategy, and execution for Dropbox's next-generation design system and design technology platform. Build reusable patterns, components, tokens, and governance; partner with product, engineering, research, and brand; raise interaction, accessibility, and implementation quality; create adoption and measurement models; and develop a multidisciplinary team to scale coherent, high-quality multi-product experiences including AI-native capabilities.

Lead global sales compensation, quota strategy, and incentive planning. Design governance, drive quota and payout execution, partner with Sales, Finance, HR, and Systems, own incentive platform operations, and build a high-performing compensation team to support SaaS revenue objectives.

The Head of Scaled Sales will build sales-assisted growth strategies, optimize customer engagement, leverage data analytics, and deploy AI in sales processes.

Own and grow strategic distribution and ecosystem partnerships across AI, hardware, and SaaS to drive acquisition, adoption, and revenue. Identify opportunities, build business cases and financial models, lead negotiations, manage partner lifecycle, analyze performance, and collaborate cross-functionally to launch and scale partnerships.

Lead and grow a data engineering team to build and operate ingestion, transformation, orchestration, and serving layers. Drive data quality, observability, cost efficiency, self-serve analytics, engineering best practices, and cross-functional partnerships to deliver reliable, reusable data products for product, GTM, finance, and CTO stakeholders.

Lead global sales enablement programs that drive measurable revenue by diagnosing performance gaps, creating role-based training and playbooks, aligning cross-functionally, and optimizing adoption through analytics and manager-led reinforcement.

Lead design vision and execution for Dropbox's multi-product ecosystem, focusing on high-trust AI-powered experiences that activate content. Translate emerging AI capabilities into simple, elegant, and trustworthy product interactions, mentor designers, raise design standards, and partner with cross-functional teams from strategy through implementation.

Serve as a client-facing compensation advisor partnering with HR and business leaders to design and implement compensation programs, conduct market benchmarking and analytics, support pay decisions, drive global compensation processes, deliver training, and collaborate with Recruiting on offers and pay equity.

Lead strategic, high-visibility design initiatives for Dropbox Bridge AI efforts. Define opportunities, own projects from concept to delivery, simplify complex workflows, prototype with generative AI, and ensure high craftsmanship. Influence product and design strategy, collaborate cross-functionally with product and engineering, mentor designers, and elevate design quality and storytelling across distributed teams.

Own and architect the enterprise context layer for AI: set strategy, standards, and operating model for knowledge, metadata, provenance, and permissions; design control models for AI actions; drive platform/connector strategy; build federated stewardship and lifecycle policies; measure retrieval and grounding quality and partner with Legal, Privacy, Security, IT, and Engineering.