Product Manager, Quant Platform

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.

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, email receipt data, B2B spend data, and more - into standardized, client-ready factor and signal products for systematic investors. This is not a maintenance role. You will help define the product shape of our quant platform, build the operating model around it, and bring a new class of products to market.

Our Feeds & Quant organization includes product managers, quant researchers, product specialists, feed operations, and product marketers. We collaborate closely with engineering partners, who own technical architecture, infrastructure, and implementation, as well as with Sales, CS, and Product Specialists. Together, we serve a wide range of systematic users - from sophisticated funds that want flexible building blocks to smaller managers that need more packaged, immediately usable products.

• Required
  • 8+ years of product management experience, with a strong preference for experience building products for buy-side systematic / quantitative users
  • Deep familiarity with the quant / systematic investing workflow - including factor construction, backtesting, signal evaluation, and portfolio construction
  • Experience defining and shipping data-intensive or quantitative products - factor feeds, signal libraries, analytics platforms, or similar
  • Strong ability to translate between quantitative research and product/engineering requirements - you can read a research paper and turn it into a product spec
  • Proven ability to work cross-functionally across research, engineering, sales, and marketing in a high-growth environment
  • Excellent customer research skills - you know how to run discovery with sophisticated quant buyers and synthesize feedback into product decisions
  • Strong commercial instinct - comfort with ARR accountability, pricing strategy, and competitive positioning
• Preferred
  • Experience at a quantitative hedge fund, systematic asset manager, or alternative data provider serving the quant buy-side
  • Familiarity with alternative data (transaction data, web traffic, app data, email receipts, B2B spend, etc.) and how it's used in systematic strategies
  • Understanding of factor model frameworks (e.g., Barra, Axioma, or proprietary risk models) and how alpha signals are evaluated relative to traditional factors
  • Experience building or managing data delivery infrastructure - APIs, flat file feeds, cloud delivery, or data platforms
  • Comfort with Python, SQL, or similar tools for data exploration (you don't need to be a quant, but you should be able to dig into data)

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer.

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