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8+ years of product design experience, 5+ years at a senior role, and expertise across UI, interaction, visual design, and content

5+ years of experience in Data Science, expert-level proficiency in SQL and Python, and collaborative experience working in a sprint-based environment

Comprehensive understanding of basketball card valuations, strong working knowledge across multiple card categories, and quantitative research skills

Highly organized, detail-oriented, and able to communicate clearly and confidently with executives and external stakeholders

Bachelor's degree, 2+ years of experience in high-volume operational environment, strong problem-solving skills

5-8+ years of PM experience in ML platforms, pricing systems, risk/decisioning, or marketplace dynamics, with a focus on technical skills and experience working with data science and engineering

5-7 years of experience building production React Native apps, ability to work with native code, and strong product mindset

10+ years engineering exp., 4-5 yrs ML experience. Python & ML Ops skills required. Experience deploying models on AWS and building models in a similar pricing environment

5–8+ years of PM experience in credit, lending, underwriting, risk, or fintech; Strong understanding of underwriting logic, expected-loss modeling, delinquency, and LTV frameworks; Experience partnering with Finance, Data Science, CX, and Engineering

3-4 years of experience in data engineering, strong Python proficiency, and proven experience with large-scale data processing