Product Manager, Quant Platform

Product Manager, Quant Platform

YipitData is a leading market research and analytics firm for the disruptive economy, recently valued at over $1 billion. We analyze billions of alternative data points daily to provide insights on sectors like ridesharing, e-commerce, and payments. Recognized as one of Inc.'s Best Workplaces for three consecutive years, we foster a people-centric culture focused on mastery, ownership, and transparency.

About the Role

This is a remote-friendly, permanent opportunity based in the United States.

YipitData is seeking a Product Manager to own and scale the platform for our rapidly growing Quant business. This role sits at the intersection of quant research, data products, engineering, and go-to-market strategy. You will be instrumental in transforming proprietary and exclusively licensed alternative datasets into standardized, client-ready factor and signal products for systematic investors. This is a strategic role focused on defining the product shape of our quant platform, building the operating model, and bringing a new class of products to market.

You will collaborate closely with product managers, quant researchers, product specialists, feed operations, product marketers, and engineering partners to serve a diverse range of systematic users.

Key Responsibilities

• Quant Platform & Factor Library Development:
  • Define and own product specifications for our factor library, including definitions, coverage rules, methodologies, and QA frameworks.
  • Build and scale a standardized factor taxonomy across multiple proprietary datasets.
  • Collaborate with quant research to translate raw research into repeatable, productized factor pipelines.
  • Sequence the factor library development from beta to a complete offering.
• Signal-to-Pipeline Engineering Partnership:
  • Partner with engineering to transform quant research signals into scalable factor computation and delivery pipelines.
  • Define product requirements for factor infrastructure, including reference data, identifiers, and automated QA.
  • Ensure factor pipelines are stable, accurate, and delivered consistently.
• Customer Research & End-Market Strategy:
  • Conduct customer research to understand systematic end-user needs and workflows.
  • Translate customer insights into a product prioritization pipeline serving various quant buyer needs.
  • Support pricing, packaging, and competitive positioning decisions.
• Go-to-Market & Commercial Accountability:
  • Partner with revenue and product marketing teams to build go-to-market plans for signals.
  • Share ARR and P&L accountability for owned quant products.
  • Collaborate with Product Specialists to enable sales motions and client conversations.
• Cross-Functional Collaboration:
  • Partner with Engineering on technical approach, infrastructure, and reliability.
  • Work closely with Quant Researchers to define research requirements and deliverables.
  • Coordinate with Feed Operations on day-to-day delivery and operational improvements.
  • Partner with the Customer Success team to drive retention and client satisfaction.

Requirements

• 8+ years of product management experience, with a preference for building products for buy-side systematic/quantitative users.
• Deep familiarity with the quant/systematic investing workflow, including factor construction, backtesting, and portfolio construction.
• Experience defining and shipping data-intensive or quantitative products (e.g., factor feeds, signal libraries, analytics platforms).
• Proven ability to translate quantitative research into product and engineering requirements.
• Demonstrated ability to work cross-functionally across research, engineering, sales, and marketing in a high-growth environment.
• Excellent customer research skills with sophisticated quant buyers.
• Strong commercial instinct, with comfort in ARR accountability, pricing strategy, and competitive positioning.

Preferred Qualifications

• Experience at a quantitative hedge fund, systematic asset manager, or alternative data provider.
• Familiarity with alternative data and its use in systematic strategies.
• Understanding of factor model frameworks and alpha signal evaluation.
• Experience building or managing data delivery infrastructure.
• Comfort with Python, SQL, or similar tools for data exploration.

What We Offer

• Competitive salary and comprehensive benefits package.
• Flexible work hours and vacation policy.
• Generous 401K match, parental leave, team events, wellness budget, and learning reimbursement.
• An environment focused on mastery, ownership, and transparency, where growth is determined by impact.
• Annual on-target earnings anticipated to be up to $180-200k, plus equity.

Please note: This role can be performed fully remotely within the United States. If remote work is performed outside of our listed US offices (NYC, Austin, Miami, Los Angeles, Cupertino), income may be subject to New York State tax withholding. Visa sponsorship is not available for this position.