Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
As a UX Researcher at Phantom, you will help us understand how people manage their money, discover opportunities, and trade with confidence. You will combine direct user understanding with behavioral data to build shared evidence that informs strategy, priorities, and execution across Product, Design, Engineering, Data Science, Marketing, Support, and leadership. The role sits within Design and partners across functions to prioritize important questions, communicate what findings mean for their work, and follow through on how insights are used.
RESPONSIBILITIES
- Partner with cross-functional teams to prioritize the questions that matter most, matching each study’s scope, method, and depth to the decision, available resources, and risk.
- Lead discovery and evaluation across the product lifecycle: uncover unmet needs, test early concepts, and assess how shipped experiences work in people’s real contexts.
- Partner with Data Science to connect user understanding with funnel and cohort analysis, experiments, and outcome measurement.
- Translate research into clear insights and recommendations that inform cross-functional strategy, priorities, and product decisions. Use concise narratives, visual evidence, and working sessions to help teams and leadership understand implications, raise risks, and follow through from findings to action.
- Bring Product, Design, and Engineering into the research process, and coach partners to run appropriate lightweight studies with a high quality bar.
- Make research easy to engage with through clear paths for researcher-led work, coached self-service, and specialist support, backed by a well-maintained participant panel, reusable evidence, and practical tools.
- Build a repeatable listening loop with Support, Marketing, and Data Science, combining direct research and targeted feedback to track changing needs across priority journeys and cohorts, while caring for participants and their information.
QUALIFICATIONS
- Significant experience leading product research end to end, with a portfolio showing your ownership and how your work changed product or business decisions.
- Strong qualitative research craft and judgment about which methods fit which questions, including interviews, observation, concept testing, usability studies, and surveys. Balance speed and evidence quality according to the decision’s importance.
- Sound analytical judgment, including the ability to partner with Data Science, interpret behavioral data, and explain sampling and evidence limitations.
- Experience building or improving a research practice in an environment where you needed to prioritize, work independently, and help others learn.
- Clear, direct, and kind communication, strong synthesis, and demonstrated ability to translate research into insights that inform decisions across…