Job Opportunities API

THUMBTACK HELPS MILLIONS OF PEOPLE CONFIDENTLY CARE FOR THEIR HOMES. Thumbtack is the one app you need to take care of and improve your home — from personalized guidance to AI tools and a best-in-class hiring experience. Every day in every county of the U.S., people turn to Thumbtack to complete urgent repairs, seasonal maintenance and bigger improvements. We help homeowners know which projects to do, when to do them and who to hire from our growing community of 300,000 local service businesses. If making an impact inspires you, join us. Imagine what we’ll build together. ABOUT THE ROLE Researchers at Thumbtack are embedded within product teams and serve as advocates for both customers and pros. As a mixed-methods Experience Researcher, you'll scope and run qualitative and quantitative studies end to end — from foundational discovery to tactical evaluation — and turn them into insights that drive product decisions. You'll join a pod focused on bringing a recent acquisition into the Thumbtack ecosystem on the pro-facing side of our marketplace — helping build the tools pros need to run successful businesses. So you'll be learning a new product and user base fast, structuring ambiguity, and standing up research where little exists yet. And you'll do it in an AI-forward practice: we expect you to use AI fluently across the research lifecycle, and to build lightweight AI tools that accelerate how the team learns. WHAT YOU’LL DO - Research planning & execution: Independently scope and run mixed-method studies — from strategic, exploratory work to tactical usability tests and in-product surveys — within your product area. - Champion the pro: Build a deep understanding of pros and the tools they need to run successful businesses. - Work in ambiguity: Get up to speed quickly on an unfamiliar product, market, and user base, and turn loose problem spaces into clear research questions and plans. - AI-accelerated research: Use AI tools across the research lifecycle (e.g., synthesis, analysis, instrument and guide drafting, reporting) to work faster and at scale — and build lightweight AI artifacts (e.g., agents, workflows, automations, prototypes) that speed up learning for you and your partners. Critically evaluate AI outputs for accuracy and bias. - Collaboration: Partner closely with product, design, engineering, and data science to identify high-impact research opportunities and ensure insights translate into action. - Synthesize & share insights: Turn qualitative and quantitative data into compelling, trustworthy stories — through reports and presentations that influence product direction. - Methodology selection: Choose the right method (or combination) for the problem — interviews, surveys, usability tests, concept tests, and more.   IN ORDER TO BE SUCCESSFUL, YOU MUST BRING - 5+ years in applied research roles, with a degree in a behavioral or social science field (e.g., Human-Computer Interaction, Cognitive Science, Experimental Psychology, Anthropology, Sociology, Information Science, Economics) or equivalent practical experience; advanced degree a plus. - Strong command of both qualitative and quantitative methods — knowing when and how to apply each across product phases — and able to design and run studies end to end (in-depth interviews, usability studies, surveys, concept testing). - Analyzes qualitative and quantitative data, including basic statistical analysis (e.g., t-tests, correlations); proficient with research tools (e.g., Qualtrics, dscout, Sprig, Rally). SQL or other data-querying skills a plus. - Demonstrated, hands-on use of AI to accelerate and scale research, paired with the judgment to evaluate outputs critically and apply them responsibly. - Evidence of building — not just using — lightweight AI tooling such as agents, workflows, or prototypes that made research faster or better. (You'll be asked to show one.) - Strong communication and pres