[Remote] Data Product Manager

Note: The job is a remote job and is open to candidates in USA. YipitData is a company focused on transforming how clients interact with data through AI-powered products. As a Data Product Manager, you will be responsible for translating raw alternative datasets into scalable, AI-ready data products while ensuring methodological rigor and operational excellence.ResponsibilitiesOwn the translation of raw alternative datasets into scalable, AIready data productsDesign methodologies that answer high-value business questions, determining how disparate datasets should be combined, normalized, and interpretedPartner closely with Data Engineering to shape source data pipelines into clean, well-structured datasets with clear definitions and documentationDevelop deep expertise in the strengths, limitations, biases, and coverage characteristics of key datasets and ensure those nuances are reflected in downstream outputsDefine how the product should use different datasets, including valid query patterns, edge cases, failure modes, and methodological guardrailsOwn metric definitions, data lineage, and documentation to ensure the product consistently delivers accurate and explainable answersEstablish standards for how the product reasons across multiple datasets, preventing over-interpretation and ensuring conclusions remain statistically defensibleServe as the final reviewer for methodology-related changes that impact product behaviorTranslate customer questions into scalable methodologies, data models, and product capabilitiesExpand the range of questions the product can answer by enabling new forms of segmentation, cohort analysis, behavioral measurement, and cross-dataset insightsPartner with Product, Engineering, and Leadership to identify new data sources, use cases, and capabilities that increase the commercial value of the AI productHelp shape the product roadmap by turning emerging customer needs and experimental insights into repeatable product functionalityCoordinate testing and validation of staged data changes before they reach productionOwn incident management processes for data quality issues, methodology changes, and upstream source disruptionsBuild and maintain a library of quality checks tailored to the unique requirements of AI-powered customer experiencesEnsure the product consistently surfaces reliable, accurate, and internally consistent information across all supported use casesSkills3–6 years of experience in data product management, product analytics, analytics engineering, data science, market intelligence, alternative data, or a closely related fieldStrong fluency in SQL; comfort with data pipelines, schema changes, and upstream/downstream data dependenciesExperience owning data documentation, metric definitions, or data quality programs—not just conducting ad hoc analysisA track record of cross-functional coordination, ideally between technical data teams and product or commercial stakeholdersStrong project management instincts: you can run a triage process, maintain a quality library, and coordinate across multiple stakeholder groups without dropping ballsClear, structured communication—you can translate complex data methodology questions into guidance that non-technical stakeholders can act onA demonstrable track record of building—shipping things, solving hard problems, and leaving a clear mark on the products you've worked onAn entrepreneurial mindset: you're comfortable with ambiguity, energized by new problem spaces, and don't need a fully paved road to make progressDeep 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 productPrior experience in or exposure to AI/ML products, LLM-based agents, or evaluation frameworks is a strong plusBenefitsCompetitive base salary with comprehensive benefitsFully remote-friendly within the United StatesFlexible work hours and flexible vacationGenerous 401(k) match, parental leave, wellness budget, and learning reimbursementA growth-oriented environment where advancement is driven by impact—not tenureCompany OverviewYipitData is a market research firm that provides detailed insights and reports based on alternative data. It was founded in 2007, and is headquartered in New York, New York, USA, with a workforce of 501-1000 employees. Its website is https://yipitdata.com.