Group Product Manager, Data Feeds
New
Y
YipitDataMarket Research, Data
This role may be performed fully remotely within the United States.Full-TimeManager
Salary$190k - 205k
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLProduct ManagementProduct Analytics
Requirements
- 7+ years of experience in product management, specifically with commercial data products, data feeds, or data-intensive B2B products.
- Proven track record of managing and developing product teams to improve individual and collective performance.
- Demonstrated ability to own the full product lifecycle from discovery through launch and scaling.
- Strong portfolio management skills, including the ability to make difficult investment tradeoffs and prioritize across multiple products.
- Commercial fluency with experience in pricing, packaging, and driving revenue or product economics.
- Hands-on analytical skills, including proficiency in SQL and Python for data investigation and product assessment.
- Technical fluency in data product architecture, including schemas, delivery mechanisms, and data quality standards.
- Experience with alternative data, financial data, or investment research products (preferred).
- Familiarity with quantitative investment workflows like backtesting and dataset integration (preferred).
- Understanding of third-party data licensing, vendor dependencies, and API-based delivery (preferred).
Responsibilities
- Manage, coach, and grow a team of product managers, strengthening their customer discovery, strategic judgment, execution, and commercial ownership.
- Own a cohesive product portfolio strategy aligned with business goals, prioritizing investments and identifying opportunities to scale or refine products.
- Serve as the hands-on PM for a strategically important data feed or quant-focused feed initiative, owning its vision, roadmap, and requirements.
- Partner with commercial teams on pricing, packaging, positioning, and strategies to drive revenue growth, retention, and expansion.
- Establish and maintain high expectations for data quality, coverage, timeliness, documentation, and delivery across the portfolio.
- Collaborate cross-functionally with data, engineering, quant research, and partnerships to align priorities and translate customer needs into scalable product solutions.
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