Top Tech Jobs & Startup Jobs

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 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.

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.

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.

Design, build, and operate low-latency, strongly consistent distributed database systems. Implement replication, consensus, caching, and performance improvements. Run and maintain production services including on-call rotation, collaborate on roadmaps and system designs, and write performance-critical code in systems languages.

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.