A16zcrypto
UX Researcher
New York Office · Senior
Sponsorship not specifiedDetected 121 days ago
UX ResearchProduct ManagementExcelResearch
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odds of building a lasting career here
20Risky
Cap-exempt (no lottery)0
Sponsors this role14
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- At Kalshi we strive to learn and understand our users' needs, behaviors, and emotions to build the best product for them.
- As the founding UX Researcher at Kalshi, you will own the research function that helps us understand customers deeply and make better decisions.
- You will lead qualitative and quantitative research across the product lifecycle, from early problem framing through post-launch measurement, and bring the customer's perspective into the room before direction is set.
Responsibilities
- Design and manage longitudinal research programs, including survey design, CSAT or NPS measurement, and ongoing feedback loops.
- Develop deep empathy for traders of all skill levels, institutions, and developers, understanding their workflows, motivations, and pain points across the lifecycle
- Ownership mindset: You take initiative in a self-directed environment, proactively identify what needs to be known, and drive research programs forward without waiting to be asked.
Requirements
- Research craft: You know the right methodological approach for the question at hand, and you're an expert in both qualitative and quantitative methods.
- You know when to run an interview, when to run a survey, and when the answer is already in the data.
Company info
- Our culture is simple: we hire really talented people, work really hard, and enjoy the climb.
- OUR CULTURE Meritocracy is at our core, and we value people who take ownership and figure (usually hard) things out.
- COMMITMENT TO EQUAL OPPORTUNITY Kalshi is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer.
- What we're looking for
- Data fluency: You excel at using behavioral and business data to sharpen research questions, interpret results, and connect insights to measurable outcomes. Triangulating across data sources is a standard part of the work you deliver.
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