Jobs at Dropbox

Own scalable customer programs from planning and recruitment through launch, engagement, measurement, closeout, and handoff. Coordinate Product, Design, Research, Marketing, Customer Success, Sales, and Analytics teams. Lead pre-PMF product testing, relaunch the Customer Advisory Board, integrate customer testing into launch-readiness processes, and establish repeatable customer insight loops and operating playbooks.

Leads partner marketing strategy for Dropbox’s AI and ISV ecosystem, developing joint go-to-market strategies, positioning, integrated campaigns, launches, evergreen co-marketing, and performance optimization. Manages and coaches a partner marketing team while personally executing high-priority initiatives. Partners cross-functionally with Business Development, Product, Sales, Marketing, and Communications to drive adoption, awareness, pipeline, and revenue. Builds scalable operating mechanisms and AI-enabled marketing workflows with strong human oversight.

Serves as a technical security advisor during enterprise sales cycles, leading discovery, solution architecture, demonstrations, proofs of concept, and technical validations. Advises customers on data protection, DLP, DSPM, DAG, CASB, IAM, Zero Trust, sensitive-content risks, access governance, and security integrations. Partners with sales, product, engineering, and marketing teams while engaging security, IT, risk, compliance, and executive stakeholders across North and Latin America. Portuguese and English fluency and up to 20% travel are required.

Develop and execute personalized account-based marketing programs for strategic B2B accounts. Partner with Sales to prioritize accounts, engage buying groups, create pipeline, and accelerate opportunities through coordinated multi-channel campaigns. Analyze account, intent, engagement, and pipeline data; run experiments; apply AI responsibly; and scale successful campaigns into repeatable playbooks. The role requires strong writing, analytical judgment, cross-functional influence, and independent ownership of complex ABM initiatives.

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.

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.

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 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.

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.

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.