Grammarly is looking to reimagine the productivity suite for the AI era by uncovering insights that shape how people experience their product and bring their mission to life. They need to design experiences that genuinely enhance how people connect and express themselves, informing products used by millions each day and redefining how people write, learn, and communicate.
Requirements
- Has familiarity with user research methods (e.g., interviews, usability testing, surveys) through academic or practical experience.
- Is comfortable using collaboration and documentation tools (e.g., Figma/FigJam, Miro, Google Docs) and is open to learning research-specific tools (e.g., Qualtrics, UserTesting, dscout).
- Demonstrates strong problem-solving and communication skills, especially when articulating research findings and collaborating cross-functionally.
- Is curious, adaptable, and eager to learn from mentorship and hands-on experience in a fast-moving environment.
- Is excited to contribute to research that directly informs product decisions and impacts millions of users.
Responsibilities
- Partner with a mentor to scope, conduct, and deliver a fully formed research project over the course of your internship.
- Contribute to an end-to-end research project that directly supports your team’s high-level goals.
- Help design, plan, and run user research studies (e.g., interviews, usability testing, surveys) to uncover insights about user needs and behaviors.
- Synthesize findings into clear, actionable insights that inform product and design decisions.
- Collaborate closely with product managers, designers, engineers, and fellow researchers to deliver impactful solutions grounded in user evidence.
- Learn and apply a variety of research methods across qualitative and quantitative approaches, depending on project needs.
- Gain experience working in cutting-edge AI product spaces, helping the team understand how people interact with AI-powered features.
Other
- Grammarly team members in this role must be based in San Francisco and be able to collaborate in person two days per week.
- Can collaborate in person in our San Francisco hub at least two days per week.
- Is available for the entire duration of a twelve-week program.
- Is currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Master’s or Ph.D. degree in Human–Computer Interaction, Psychology, Cognitive Science, Anthropology, Sociology, Human Factors, Information Science, or a related field
- Has a resume and, if available, examples of research projects or case studies from coursework, passion projects, or previous internships.
