Lead, Data Feeds Product - Group PM

YipitData

United States

Remote

USD 190,000 - 205,000

Full time

14 days+

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Benefits offered by this job

401K match
Equity
Learning reimbursement

Job summary

YipitData is building the default intelligence platform for evaluating companies and markets. As Group Product Manager, Data Feeds, you will own a portfolio of data products, grow a PM team, and drive a scalable feeds business for investors and corporate clients.

You will act as a player-coach, directly owning a strategically important feed initiative while guiding the portfolio and collaborating with Data, Engineering, Data Science, and Quant teams to deliver value and clarity for customers.

Qualifications

  • Significant product management experience, typically 7+ years, including ownership of data products.
  • Hands-on analytical ability with SQL; comfortable using Python to investigate product questions.
  • Strong portfolio judgment and cross-functional leadership to align teams and strategy.
  • Experience delivering data feed or data product innovations with measurable outcomes.

Responsibilities

  • Lead and develop the product team, setting clear goals and accountability.
  • Own portfolio strategy, roadmaps, and alignment with business direction.
  • Directly manage a strategically important data feed initiative from discovery to launch.
  • Drive commercial performance through pricing, packaging, and revenue growth.
  • Ensure client-facing quality and reliability across data feeds and integrations.

Skills

Product management
Leadership
SQL
Python
Cross-functional

Tools

SQL
Python

Job description

YipitData is building the default intelligence platform for evaluating companies and markets. As Group Product Manager, Data Feeds, you will own a portfolio of data products, grow a PM team, and drive a scalable feeds business for investors and corporate clients.

You will act as a player-coach, directly owning a strategically important feed initiative while guiding the portfolio and collaborating with Data, Engineering, Data Science, and Quant teams to deliver value and clarity for customers.

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