Group Product Manager (Data Feeds)

Join YipitData, the leading intelligence platform for evaluating companies and markets. As a Group Product Manager, you will lead and grow our Data Feeds product management team, own the strategy and performance of a portfolio of data products, and directly manage a strategically important data feed initiative. You will also help build a more connected, scalable feeds business serving various customer segments.

• Lead and grow the Data Feeds product management team, owning the strategy and performance of a portfolio of data products.
• Directly own a strategically important data feed or quant-focused feed initiative, from customer discovery and product strategy through development, launch, and ongoing performance.
• Establish clear product responsibilities, goals, and decision-making expectations, giving PMs the autonomy and support to own their products.

• Commercial fluency, including experience contributing to pricing, packaging, revenue growth, retention, or product economics
• Hands-on analytical ability, including proficiency in SQL and comfort using Python to investigate data and assess product questions
• A track record of taking products from customer discovery through launch and scaling, with measurable customer and business outcomes
• Technical fluency in data products, including schemas, methodologies, quality, delivery mechanisms, and the implications of product changes for clients
• Experience directly managing and developing product managers, with evidence of improving both team performance and individual growth
• A desire to remain a hands-on product owner while building and leading a team
• Excellent communication and cross-functional leadership skills, with the ability to align teams you do not directly manage
• Significant product management experience, typically 7+ years, including ownership of commercial data products, data feeds, or similarly data-intensive B2B products
• Strong portfolio judgment: you can prioritize across products, allocate investment, and make difficult tradeoffs
• Experience with third-party data partnerships, licensing considerations, and vendor dependencies
• Experience with alternative data, financial data, or investment research products
• Familiarity with fundamental, quantitative, or systematic investment workflows, including dataset evaluation, backtesting, and integration
• Experience building a portfolio that serves multiple customer segments or combines multiple data sources
• Familiarity with APIs, cloud-based data delivery, and data quality and operational reliability practices