Role Description
Ondo's user research team is small but mighty, and works horizontally across the whole product suite, not inside a single pod. We're hiring a senior quantitative user researcher to build and lead quantitative research across the portfolio.
You'll set your own UXR strategy with minimal guidance, take on the hardest decision-shaping questions whichever team they come from, and answer them with evidence that holds up at scale.
What You'll Do
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Own the research intake and quant roadmap.
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Field research questions from product, design, GTM and leadership.
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Turn vague asks into answerable questions, decide which need quantitative evidence (and which don't), and prioritize where evidence most reduces risk on our biggest bets.
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Answer the big questions before launch using MaxDiff and conjoint to show which features, benefits and messages actually drive decisions.
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Design pre-launch experiments (stimulus tests, matched cohorts, vignettes, threshold studies) with decision rules set before fielding, and pretest instruments with cognitive interviews.
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Build measurement and segments that last by adapting or developing validated scales for trust, perceived security and comprehension.
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Track them across products and markets, and turn our user profiles into statistically validated, sized segments.
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Get data you can trust, and connect it to behavior.
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Design sampling, translation and fraud controls for a global, crypto-native audience.
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Partner with data science to link survey data with product data.
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Evaluate AI-assisted experiences by designing human evaluation for AI-assisted finance features: rubrics, rater reliability, and whether user trust matches how reliable the system actually is.
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Be leadership's partner for evidence by presenting findings as recommendations with effect sizes, confidence and what would change the call.
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Give quick, right-sized answers to ad-hoc leadership questions, whether that's existing data, a fast pulse survey or a full study.
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Set the standards that let PMs and designers run sound lightweight surveys or data-driven validation themselves.
Qualifications
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7+ years of UX or applied research experience, including at least 5 years leading quantitative studies end to end, from study design through recommendation.
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Experience leading quantitative research studies for financial products (e.g., brokerage, trading, banking, payments, wealth or lending).
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A self-starter who operates with minimal guidance: you scope ambiguous problems, set your own priorities, and drive studies to a decision.
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Deep survey science expertise: sampling and weighting, instrument design, bias control, data-quality screening, and programming in Qualtrics or similar.
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Hands-on experience designing and analyzing MaxDiff and/or conjoint studies.
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Strong applied statistics: regression, power analysis, and experimental and quasi-experimental design.
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Fluency in R or Python for analysis and visualization.
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You have an existing AI-assisted research setup, from drafting survey instruments to writing and reviewing analysis code, and you proofread/validate every output with rigor.
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A track record of quantitative work that changed a product or business decision, and the ability to explain uncertainty clearly to executives and non-researchers.
Requirements
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Experience with crypto, onchain or tokenized-asset products.
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A masterβs or PhD in a quantitative field such as statistics, survey methodology, behavioral economics, or marketing science.
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Depth in advanced methods, such as hierarchical Bayes and simulators, psychometric scale development, segmentation, pricing research, or SQL and multilevel modeling.
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Experience evaluating AI or LLM-powered products, such as human evaluation design, rubrics or rater reliability.
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Research across markets in LATAM, APAC or EMEA, including translating survey instruments.
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Responsible AI-native research workflows, such as using LLM tools to speed up instrument design, coding of open-ended responses or analysis.
Benefits
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Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences).
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Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
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Remote-first team across many countries β You will be an early team member helping shape our vision, culture, and design practices.
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A+ colleagues β Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
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Best-in-class investors β We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.