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Develop and lead integrated B2B marketing campaigns for enterprise product launches and evergreen motions. Define audiences, narratives, buyer journeys, channel roles, activation plans, measurement, and optimization strategies. Orchestrate owned, earned, and paid programs across cross-functional teams, guide campaigns from briefing through post-launch learning, and improve performance through analytics and portfolio insights.
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Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
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Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Owns a strategic Virtual First technology workstream focused on AI enablement, knowledge management, tool optimization, automation, and modern ways of working. Leads organizational research, pilots, experiments, and a portfolio of cross-functional programs from scoping through adoption. Translates quantitative and qualitative findings into recommendations, operating models, and measurable improvements in employee effectiveness, tool confidence, and technology adoption.
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Role Description
Dropbox powers collaboration and cloud infrastructure for over 700 million registered users worldwide. We’re building the next generation of scalable storage, distributed compute, large-scale content processing, and secure infrastructure, with AI/ML workloads top-of-mind.
As a PhD Systems & AI/ML Research Intern, you’ll work on meaningful infrastructure problems at the intersection of distributed systems, backend services, and AI/ML workloads. Supported by senior engineers, you’ll own a project aligned with your research, that results in a working prototype with the goal of a submission for adoption internally and external publication. Come help us define and build the infra layer for our next-gen products.
Responsibilities- Execute a defined engineering/research project aligned with your research.
- Implement a prototype that addresses a concrete infrastructure or AI-systems challenge.
- Build and run benchmarks using realistic workloads to measure performance, reliability, or security improvements.
- Document the design and implementation, including assumptions, architecture, tradeoffs, and evaluation results.
- Deliver a final artifact that includes a working prototype, reproducible results, technical write-up, and internal presentation.
- Collaborate with mentors to refine the approach, validate results, and, if appropriate, prepare findings for internal adoption or external publication.
- PhD candidate in Computer Science or a related field graduating between Winter 2026 and Spring 2028.
- Proven experience in systems/infrastructure and/or AI/ML through research publications, significant projects, or internships where you built or tested advanced solutions.
- Strong coding skills (e.g., Python, Rust, Go, C++) plus an ability to quickly prototype and iterate on cutting-edge ideas.
- Curiosity and drive to explore novel systems methodologies and translate them into practical applications that solve practical needs.
- Excellent communication and collaboration skills, especially in interdisciplinary teams.
Preferred Qualifications
- Prior systems publications, open-source contributions, or experience operating large-scale infrastructure
- Interest in translating research insights into product impact for real-world users
- Familiarity and passion for swiftly moving from idea to experiment, comfortable with ambiguous or evolving project goals
US Pay Range
$12,500—$12,500 USD
Dropbox San Francisco, California, USA Office
Though remote is our primary way of working, meaningful in-person connection and collaboration is a critical part of Virtual First. Our San Francisco Studio is a place for teams to come together to host meetings, off-sites, and build community.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
