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YipitData

Group Product Manager, Data Feeds

YipitData

. Manage, coach, and grow a team of product managers .

Posted 9/25/2026full-timeRemote • United StatesSeniorLead💰 $190,000 - $205,000 per yearWebsite

Tech Stack

Tools & technologies
CloudPythonSQL

About the role

Key responsibilities & impact
  • Manage, coach, and grow a team of product managers
  • Establish product responsibilities, goals, and decision-making expectations
  • Build practices for planning, roadmap reviews, customer feedback, and performance measurement
  • Recruit and develop product talent
  • Own portfolio strategy aligned with broader business direction
  • Guide product visions and roadmaps
  • Prioritize across roadmaps and shared capabilities
  • Validate use cases and commercial demand for new data sources
  • Identify portfolio gaps, overlap, and dataset combination opportunities
  • Recommend offerings to scale, improve, consolidate, or retire
  • Serve as hands-on product manager for a strategically important data feed or quant-focused initiative
  • Lead customer discovery, investigate data, and translate customer needs into product decisions
  • Partner with Data, Engineering, Data Science, and Quant Research to assess feasibility and launch products
  • Improve products through client evaluation and integration feedback
  • Share accountability for portfolio revenue growth, retention, expansion, and product economics
  • Partner on pricing, packaging, positioning, sales, and evaluation processes
  • Define and track customer adoption, evaluation conversion, time to value, retention, and commercial results
  • Establish expectations for data quality, coverage, timeliness, documentation, and delivery
  • Partner on quality controls, monitoring, change management, and issue resolution
  • Improve customer discovery, evaluation, onboarding, integration, and support for feeds
  • Ensure clients understand methodologies, limitations, historical changes, and use cases
  • Build a repeatable experience for quant and systematic customers
  • Align Product, Data, Engineering, Research, Quant, Applications, and commercial teams
  • Partner with Quant Research on systematic investor requirements
  • Evaluate data opportunities against customer needs, licensing constraints, quality, and economics
  • Communicate strategy, tradeoffs, progress, and risks to leadership and cross-functional partners

Requirements

What you’ll need
  • Significant product management experience, typically 7+ years, including ownership of commercial data products, data feeds, or similarly data-intensive B2B products
  • Experience directly managing and developing product managers
  • Track record of taking products from customer discovery through launch and scaling, with measurable customer and business outcomes
  • Strong portfolio judgment and prioritization skills
  • Commercial fluency, including pricing, packaging, revenue growth, retention, or product economics
  • Proficiency in SQL and comfort using Python to investigate data and assess product questions
  • Technical fluency in data products, including schemas, methodologies, quality, delivery mechanisms, and implications of product changes
  • Excellent communication and cross-functional leadership skills
  • Desire to remain a hands-on product owner while building and leading a team
  • Preferred: experience with alternative data, financial data, or investment research products
  • Preferred: familiarity with fundamental, quantitative, or systematic investment workflows, including dataset evaluation, backtesting, and integration
  • Preferred: experience building portfolios serving multiple customer segments or combining multiple data sources
  • Preferred: experience with third-party data partnerships, licensing considerations, and vendor dependencies
  • Preferred: familiarity with APIs, cloud-based data delivery, and data quality and operational reliability practices

Benefits

Comp & perks
  • Flexible work hours
  • Flexible vacation
  • Generous 401K match
  • Parental leave
  • Team events
  • Wellness budget
  • Learning reimbursement
  • Equity
  • Annual performance-based bonus of up to 15%
  • Fully remote work within the United States