Job Highlights
AI-extracted key information
As a Research & Insights Intern at Dropbox, you will assist teams in understanding user interactions with AI-powered workflows. This full-time, 12-week summer internship involves owning or supporting qualitative research projects, collaborating with researchers, and developing insights to inform product direction and user experience.
Experience Level
Entry Level
Benefits & Perks
Education Requirements
bachelor degree
Research and Insights Intern (Summer 2026)
Posted 3 weeks ago
Full-Time
Employment Type
Remote
Work Location
About This Role
Role Description
As a Research & Insights Intern at Dropbox, you’ll help teams better understand how users interact with AI-powered workflows. Embedded within the Research
(UXR)
organization, you’ll contribute to research that informs product direction, user experience, and engagement for AI features.
You’ll either own a scoped qualitative research project or support ongoing research initiatives, depending on business needs, with guidance from experienced researchers. Your work may focus on a specific user workflow and will contribute to clear insights and actionable recommendations for product partners.
This is a full-time, 12-week summer internship
(40
hours/week). You’ll work closely with the research team, receive one-on-one mentorship and regular feedback, and have opportunities to present your work and insights to cross-functional stakeholders.
In our
Virtual First
work culture, you’ll
connect with
with Dropboxers
virtually and in
-
person
to build the
foundation of a strong professional network. As a Summer intern, you will also have the opportunity to attend our Emerging Talent Summit,
w
here
participants from our intern and early-career programs
come together in person to build lasting relationships,
explore learning and development opportunities, and prepare for their career journey ahead.
For Summer 202
6
, we offer two start dates culminating in a 12-week internship:
May 26 - August 14, 2026
June 30 - Sep 18, 2026
Responsibilities
Partner with researchers and product teams to identify and refine research questions related to AI-powered user workflows.
Own a scoped qualitative research project or support an ongoing one, depending on business needs, with mentorship and guidance throughout the research process.
Review existing research, competitive insights, and product materials to form hypotheses and areas for exploration.
Assist with the planning, execution, and synthesis of user research using qualitative methods and selected quantitative approaches
(e.g.,
surveys).
Develop clear insights and product recommendations based on research findings.
Contribute to research readouts, decks, and presentations, and help communicate findings to product and research stakeholders.
Requirements
Currently pursuing an undergraduate or graduate degree in a relevant field
(e.g.,
Psychology, Human-Computer Interaction, Anthropology, Sociology, Design, Information Science, or related), or equivalent practical experience working with Product, Design, or Research teams
graduating in 2027 or 2028
.
Strong written and verbal communication skills, with comfort explaining ideas, insights, and opinions clearly.
Demonstrated ability to collaborate effectively with cross-functional partners.
Product curiosity and user empathy, with the ability to articulate why certain experiences work well
(or
don’t).
Interest in user research and insights, and motivation to grow in a Research-focused career path.
Preferred Qualifications
Experience Conducting Qualitative And/or Quantitative Research Through Coursework, Internships, Or Personal Projects.
Background or coursework in Psychology, HCI, UX Research, or a related field.
Comfort working in presentation decks and written documents to communicate ideas and findings.
Curiosity about AI-powered tools and experimentation, including hands-on use of tools such as ChatGPT, Copilot, Claude, or similar.
Ability to share one work sample that demonstrates research thinking or approach
(e.g.,
class project, report, or personal study).
Compensation
US Pay Range
$7,000
—
$8,000 USD
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