Jobs at Dropbox

Leads Dropbox’s GTM systems organization and platform portfolio across Marketing, Sales, Customer Success, and Support. Owns business roadmaps, governance, prioritization, platform administration, adoption, and continuous improvement. Translates commercial strategy into scalable technology capabilities while coordinating engineering, architecture, operations, analytics, finance, legal, and business stakeholders. Builds teams, drives platform modernization, incorporates AI-assisted workflows, and measures business outcomes.

Software Engineering Interns will build and ship high-impact software projects across product, infrastructure, customer experience, mobile, and security teams. Responsibilities include designing, developing, testing, and deploying features; collaborating with multidisciplinary teams; participating in agile development and prototyping; applying user-centered design; and learning through mentorship, technical talks, and feedback. The internship is virtual, full-time, and lasts 12 weeks during Summer 2027.

Runs scalable customer programs connecting product development and go-to-market teams. Responsibilities include recruiting and engaging customers for pre-PMF testing, coordinating cross-functional stakeholders, establishing operating infrastructure and readiness criteria, managing Customer Advisory Board activities, integrating customer testing into launch processes, and synthesizing feedback into product and GTM decisions.

Own the full B2B SaaS sales cycle for Dropbox’s Product Suite and emerging AI products, from outbound prospecting and pipeline generation through closing and renewal. Develop mid-market and enterprise opportunities, lead discovery, apply MEDDICC or SPICED qualification and value-selling frameworks, forecast accurately, meet revenue targets, and collaborate with Product and go-to-market teams to refine messaging and sales strategy.

Own the full B2B SaaS sales cycle, from outbound pipeline generation through closing and renewal. Build strategic relationships with mid-market and enterprise customers, lead discovery, apply MEDDICC or SPICED qualification, communicate business value, forecast accurately, and consistently achieve revenue targets. Collaborate with internal teams to refine go-to-market strategy, identify new use cases, and influence product and sales initiatives.

Leads partner marketing strategy and execution for Dropbox’s AI and ISV ecosystem, including joint go-to-market plans, positioning, campaigns, launches, evergreen co-marketing, measurement, and growth programs. Manages and develops a partner marketing team while personally leading complex initiatives. Collaborates with Business Development, Partnerships, Product, Sales, Marketing, and Communications, and builds scalable operating models and AI-enabled marketing workflows.

Own the full B2B SaaS sales cycle across LATAM, from outbound pipeline creation through closing. Generate demand through prospecting, account mapping, events, and partners; qualify and advance complex mid-market and enterprise opportunities using MEDDICC, SPICED, and value-selling methods. Forecast accurately, meet revenue targets, engage executive stakeholders, and help shape Dropbox’s go-to-market strategy, messaging, use cases, and sales motion.

Serves as a technical security advisor during enterprise sales cycles, partnering with Account Executives and customers to uncover security requirements, design solutions, conduct demonstrations, and execute proofs of concept. Advises on data protection, DLP, data governance, DSPM, CASB, IAM, Zero Trust, compliance, and security integrations. Engages stakeholders from practitioners to executives and translates security risks into architectures, controls, workflows, and measurable business outcomes. Portuguese and English fluency is required, with domestic and international travel up to 20%.

Leads Dropbox’s global direct tax reporting organization, overseeing ASC 740 tax provisions, worldwide income tax compliance, SEC disclosures, tax accounting, SOX controls, audits, and regulatory support. Develops tax strategy, builds high-performing teams, drives AI and automation adoption, strengthens governance, and partners with Finance and business stakeholders on complex tax matters and strategic initiatives.

Lead Dropbox's unified media strategy across brand and performance. Own full media budget, channel mix, measurement, agency and in-house operating model, AI-enabled workflows, and team leadership. Partner with Growth, Sales, and Marketing Data Science to connect media to revenue through rigorous attribution, incrementality testing, and media mix modeling.

Lead Dropbox’s commercial retention and renewals strategy, designing scalable operating models, programs, playbooks, forecasting frameworks, and customer lifecycle initiatives. Partner cross-functionally with Customer Success, Sales, Finance, Product, Legal, Revenue Operations, and Engineering to reduce churn, improve adoption, automate workflows, and increase recurring revenue. Analyze customer and renewal performance, influence senior leaders, and guide transformation from strategy through execution.

Leads marketing strategy and operations as strategic advisor to the CMO. Responsibilities include evaluating growth initiatives and partnerships, developing financial business cases, leading cross-functional pilots, managing annual planning, allocating marketing budgets, establishing governance, and reporting executive metrics. The role requires consulting or strategy experience, B2B and B2C expertise, advanced financial modeling, process design, executive communication, and a quantitative bachelor's degree; an MBA is preferred.

Develop and execute account-based marketing programs for strategic B2B accounts. Create personalized, multi-channel campaigns, partner with Sales to prioritize accounts and buying groups, generate and accelerate pipeline, analyze engagement and revenue results, and optimize through experimentation. Build scalable ABM playbooks and apply generative AI responsibly to research, personalization, campaign development, and analysis while validating outputs and protecting sensitive data.

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 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.

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 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.