UX Researcher

Kalshi•New York, NY

1d•$200,000 - $250,000

About The Position

Kalshi is hiring a UX Researcher as a founding member of its UXR team. The role will help shape the company’s research practice, including what it studies, how quickly it learns, and how research insights inform decisions. The researcher will lead qualitative and quantitative research throughout the product lifecycle, from early problem framing through post-launch measurement, ensuring customers’ perspectives are considered before product direction is set. The role partners closely with product, design, and data science teams to understand users’ needs, behaviors, and emotions. It combines mixed-methods research, data interpretation, customer collaboration, and clear storytelling to help Kalshi learn from its customers as it scales its prediction-market product.

Requirements

At least 7 years of UX research experience in industry.
Ability to prioritize research in fast-moving 0-to-1 environments, navigate ambiguity, and determine when to use a scrappy approach versus conducting deeper research.
Expertise in mixed methods and the ability to select appropriate research methodologies for the question.
Fluency with behavioral and business data to refine research questions, interpret results, and connect insights to measurable outcomes.
Ability to use AI in research to accelerate synthesis and sharpen questions, while understanding its limitations.
Strong interest in regularly speaking with customers and understanding people as a high-leverage product investment.
Initiative and self-direction, including proactively identifying knowledge gaps and driving research programs forward.

Responsibilities

Design and conduct mixed-methods research across the product lifecycle, choosing appropriate methods such as interviews, surveys, or analysis of existing data.
Partner with product and design teams early in the development process to frame problems, test concepts, facilitate workshops, and inform new product bets.
Combine qualitative findings with quantitative data, interpret dashboards, define metrics, and collaborate with data science.
Translate complex research findings into clear, actionable narratives that support decisions across the business.
Co-create with traders of varying skill levels and develop an understanding of their workflows, motivations, and pain points.