Product Manager, Data Feeds

🕒 May 4

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YipitData

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Own the product roadmap for one or more data feeds • Set product vision and strategy • Translate business goals into a technical roadmap • Contribute to long-term feed portfolio strategy • Share ARR and P&L accountability • Conduct deep customer and market research • Support pricing, packaging, and competitive positioning decisions • Partner with Engineering on technical approach • Work closely with Quant researchers • Collaborate with Product Specialists • Partner with the CS team • Coordinate with Feed Operations • Own the product-side accountability for data quality and reliability • Partner with engineering and data science teams on QA frameworks • Define and own processes for incident communication • Own the client delivery experience end-to-end • Partner with product marketing on centralized documentation • Contribute to the evaluation and management of additional data vendor relationships • Collaborate with data sourcing teams

🎯 Requirements

• 5+ years of product management experience • Strong cross-functional collaboration skills • Excellent written and verbal communication • Comfort with ambiguity and change management • Strong analytical skills with hands-on experience working with data. • Experience owning a product P&L or demonstrable commercial accountability. • Familiarity with buy-side, quant, and systematic investor use cases • Experience with alternative data products or the alternative data ecosystem. • Exposure to data delivery infrastructure (APIs, flat files, cloud storage, portal-based delivery). • Familiarity with Databricks, Jira, and Agile project management methodologies. • Experience managing or partnering on third-party data vendor relationships. • Background in data quality, QA systems, or data operations.

🏖️ Benefits

• flexible work hours • flexible vacation • generous 401K match • parental leave • team events • wellness budget • learning reimbursement • equity