Product Manager, Quant Platform
YipitData - US Remote
Posted Apr 22, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Product Manager, Quant Platform US Remote About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments and more. Our on-demand insights team uses proprietary technology to identify, license, clean and analyze the data many of the world's largest investment funds and corporations depend on. For three years and counting, we have been recognized as one of Inc's Best Workplaces . We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. About the Role: This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located) or anywhere in the US, including in any of our US offices listed above. At YipitData, we value ownership and impact. Our Data Feeds & Quant business is one of the fastest-growing segments of YipitData. To accelerate that growth, we're looking for a Product Manager to own and scale the platform on which our quant product efforts are built. This role sits at the intersection of quant research, data products, engineering, and go-to-market. You will help turn proprietary and exclusively licensed alternative datasets - including transaction data,
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