Jobs at Dropbox

Analyze Talent Acquisition and people data to identify hiring trends, bottlenecks, quality, efficiency, and equity opportunities. Partner with stakeholders to frame ambiguous questions, conduct rigorous analyses, validate data, monitor metrics, and deliver actionable recommendations. Lead analytics projects from requirements gathering through execution and impact measurement, while applying product management and design thinking to improve employee and candidate experiences.

Analyze Talent Acquisition and people data to identify hiring trends, bottlenecks, quality issues, and equity opportunities. Partner with recruiting and business leaders to translate ambiguous questions into rigorous analyses, validate data, monitor metrics, and deliver actionable recommendations. Lead analytics projects end to end while using storytelling, product management, design thinking, and data-driven iteration to improve employee and candidate experiences.

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.

Act as the primary regional business partner for sales leadership in Japan, driving territory and quota execution, forecasting accuracy, pipeline health, and Run-the-Business processes. Build frameworks for account segmentation and territory planning, automate reporting and workflows with AI and analytics, analyze large datasets for trends and risks, and lead cross-functional initiatives to improve sales performance and decision-making.

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.

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 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.

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 high-visibility AI-focused design initiatives: define opportunities, own projects end-to-end, execute interaction and visual design, simplify complex workflows, shape design strategy, collaborate with Product and Engineering, influence stakeholders, and use generative AI for exploration and prototyping.

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.

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.

Lead strategy and architecture for the enterprise knowledge/context layer powering AI: set standards, control models, connector strategy, and federated operating models. Ensure content is AI-ready, permissions-aware, and measurable for retrieval and grounding. Partner with IT, Engineering, Legal, Privacy, and Security to define eligibility, sensitivity, and lifecycle policies and drive adoption across domains.

Lead and scale Dropbox's enterprise competitive intelligence across multiple products. Build an operating model to collect and analyze competitor activity, win/loss, market shifts, and field signals. Deliver executive briefings, battlecards, alerts, and decision-ready recommendations to Sales, Product, and GTM teams. Own and modernize the win/loss program, partner cross-functionally to improve differentiation and enablement, and use AI and automation to measure and scale program impact.

Lead Dropbox's enterprise competitive intelligence across multiple product lines. Build an operating model to collect, analyze, and distribute competitive and market insights. Produce executive briefings, battlecards, win/loss analysis, and actionable recommendations to inform sales, product, and GTM strategy. Modernize programs using AI, automation, and research platforms while partnering cross-functionally to measure impact and enable customer-facing teams.

The Infrastructure Software Engineer will build and optimize systems managing vast data, collaborate with teams for reliability, and handle operational issues.

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.

The Senior Infrastructure Software Engineer will build scalable systems, manage large data, and innovate solutions for performance and reliability, impacting millions of users.

Own and operate the Workforce Planning operating system: manage planning cycles, governance, executive reporting, enablement, adoption, cross-functional coordination, and delivery tracking to ensure consistent, scalable workforce planning outcomes.

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.

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.