Product Manager

🕒 May 8

🗽 New York – Remote

🗽 New York – Remote

💵 $120k - $130k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

✅ Product Manager

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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

• ensuring that YipitData’s data products, specifically metrics tables and client-facing feeds, are accurate, standardized, scalable, and reliably published. • enabling external dashboards and data delivery that power critical investor workflows. • improving and scaling data platform workflows, from ingestion through transformation to delivery. • partnering cross-functionally with Data, Engineering, and Product to define requirements, prioritize improvements, and drive adoption of best practices. • leveraging AI tools to enhance workflows, automate processes, and improve data quality and efficiency.

🎯 Requirements

• 2–4 years of experience in product management, analytics, data, or a related field. • strong data fluency, including SQL and familiarity with modern data platforms (eg Databricks), pipelines, and PySpark. • experience working cross-functionally with engineering or data teams and/or an understanding of the product development lifecycle (e.g., agile practices) • enjoy solving ambiguous problems and building structure where none exists • care deeply about data quality, consistency, and scalability • are comfortable and have familiarity with AI tools (e.g., LLMs, prompt engineering, workflow automation) as productivity enhancers. • strong analytical, communication, and collaboration skills. • are curious, adaptable, and eager to learn.

🏖️ Benefits

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