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Dust is seeking a dedicated researcher to establish a research practice from the ground up. The role spans interviews, usability and concept tests, and surveys, with findings crafted into narratives that guide product and go-to-market choices.
The candidate will run mixed methods studies rapidly, demonstrate research that influences real decisions, and thrive without a predefined playbook. As AI accelerates research, the role integrates AI-driven tools while maintaining the human core: choosing
This is a first dedicated researcher role, so the person must set up the research practice itself: methods, tools, cadences and shared templates. The work spans interviews, usability and concept tests, and surveys, with findings turned into narratives that shape product and go to market decisions. A strong candidate has run mixed methods studies at speed, has shown research changing real decisions, and is comfortable working without a playbook.
AI speeds up parts of the job such as synthesising interviews and widening coverage, and the posting expects research tools to be woven into daily practice. The human core stays: choosing which questions matter, judging what the evidence means, and saying uncomfortable things plainly to engineers, product managers and founders. The role also aims to build systems so others can serve themselves insights.
The person would gain hands on practice using AI to run research faster and broader, and would help shape how a company studies people working alongside agents in shared workflows. Building that means getting fluent with AI research tools and learning to study human and agent collaboration directly.
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
Dust is a multiplayer AI platform that connects company knowledge, tools, and teams so people and agents can work together in shared workflows, per the company.