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Verified USARemote USAFull Time

Data Product Manager

YipitData Remote USA Remote USA Full Time Posted Jun 13, 2026

Job Overview

Product · New York, NY (Remote-Friendly) About the Role YipitData is making one of its most ambitious Product bets: building an AI-powered product that transforms how clients interact with data.

This initiative sits at the center of our product strategy and represents a fundamentally new way for customers to access and derive value from our data. As a Data Product Manager, you will play a pivotal role in making that vision a reality.

Job Description

You will own the path from raw alternative data to trusted, product ready intelligence-determining how complex datasets are structured, interpreted, and ultimately surfaced to customers. This role sits at the intersection of data, product, and AI.

Success in this role requires both analytical rigor and a builder's mindset. You'll thrive in ambiguity, tackle problems without established playbooks, and help shape the future of one of YipitData's most strategic products.

Your work will directly influence how hundreds of customers interact with our data and how this product scales over time.

What You'll Do Data Source Ownership & Methodology Design Own the translation of raw alternative datasets into scalable, AIready data products.

Design methodologies that answer high-value business questions, determining how disparate datasets should be combined, normalized, and interpreted.

Partner closely with Data Engineering to shape source data pipelines into clean, well-structured datasets with clear definitions and documentation.

Key Responsibilities

  • Product · New York, NY (Remote-Friendly) About the Role YipitData is making one of its most ambitious Product bets: building an AI-powered product that transforms how clients interact with data.
  • As a Data Product Manager, you will play a pivotal role in making that vision a reality.
  • You will own the path from raw alternative data to trusted, product ready intelligence-determining how complex datasets are structured, interpreted, and ultimately surfaced to customers.
  • You will work with diverse alternative datasets and develop the methodologies that transform those signals into reliable business insights.
  • You will also serve as a key authority on how the product uses data, helping define what conclusions are methodologically sound, what questions can be answered confidently, and where appropriate guardrails should exist.
  • Success in this role requires both analytical rigor and a builder's mindset.
  • Own metric definitions, data lineage, and documentation to ensure the product consistently delivers accurate and explainable answers.
  • Partner with Product, Engineering, and Leadership to identify new data sources, use cases, and capabilities that increase the commercial value of the AI product.

Required Skills and Qualifications

  • AI Product Intelligence & Knowledge Systems Define how the product should use different datasets, including valid query patterns, edge cases, failure modes, and methodological guardrails.
  • Build and maintain a library of quality checks tailored to the unique requirements of AI-powered customer experiences.
  • You Are Likely to Succeed If You Have 3–6 years of experience in data product management, product analytics, analytics engineering, data science, market intelligence, alternative data, or a closely related field.
  • Experience owning data documentation, metric definitions, or data quality programs-not just conducting ad hoc analysis.
  • Deep experience with alternative data, panel data, or similarly complex, nuanced data sources is required-you need to understand the quirks, limitations, and methodological subtleties of these datasets and be able to encode that understanding for an AI driven product.
  • Prior experience in or exposure to AI/ML products, LLM-based agents, or evaluation frameworks is a strong plus.

Benefits and Perks

  • What We Offer Competitive base salary with comprehensive benefits Fully remote-friendly within the United States Flexible work hours and flexible vacation Generous 401(k) match, parental leave, wellness budget, and learning reimbursement A growth-oriented environment where advancement is driven by impact-not tenure Please note: for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

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Application Notes

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