Data Product Manager

Jobgether · US

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Product Manager based in the United States.

This role sits at the core of a next-generation AI-powered data product, transforming complex alternative datasets into structured, trusted, and actionable intelligence for customers. You will operate at the intersection of product, data, and AI, shaping how raw signals become scalable product experiences used in real business decision-making. The position requires deep analytical thinking combined with strong product intuition to define how data should be modeled, interpreted, and surfaced. You will play a central role in establishing methodological rigor, ensuring outputs are explainable, accurate, and statistically sound. Working closely with engineering, product, and data teams, you will help define the future of AI-driven data consumption. This is a highly impactful role for someone who thrives in ambiguity and enjoys building new systems from complex, unstructured data environments.

Accountabilities:

Own the transformation of raw alternative datasets into structured, scalable, AI-ready data products, defining how data is modeled, interpreted, and delivered to end users.
Design and maintain methodologies that translate complex datasets into reliable business insights, including segmentation, cohort analysis, and cross-dataset reasoning.
Partner with Data Engineering to ensure robust pipelines, clear definitions, and well-documented data structures that support product scalability.
Define and enforce data quality standards, metric definitions, lineage tracking, and methodological guardrails to ensure accuracy and consistency.
Establish rules for how the product reasons across datasets, including edge cases, limitations, and acceptable inference boundaries for AI-generated insights.
Lead validation, testing, and incident management processes for data changes, ensuring reliability before production deployment.
Collaborate with Product and Leadership teams to identify new use cases, improve capabilities, and translate customer needs into scalable data solutions.

Requirements:

3–6+ years of experience in data product management, analytics, data science, product analytics, or related data-centric roles.
Strong SQL proficiency and solid understanding of data pipelines, schemas, and upstream/downstream dependencies.
Experience owning metric definitions, data documentation, or data quality frameworks in production environments.
Background working with alternative data, panel data, or similarly complex datasets with methodological nuance and ambiguity.
Proven ability to work cross-functionally between technical data teams and product or business stakeholders.
Strong communication skills with the ability to simplify complex data methodologies into clear, actionable guidance.
Demonstrated ability to build and ship data-driven products or frameworks in fast-moving environments.
Comfortable working in ambiguity with an entrepreneurial, builder-oriented mindset.
Exposure to AI/ML products, LLM-based systems, or evaluation frameworks is a strong plus.

Benefits:

Competitive base salary with comprehensive benefits package.
Fully remote-friendly role within the United States.
Flexible work hours and generous vacation policy.
401(k) retirement plan with company match.
Parental leave, wellness budget, and learning & development reimbursement.
High-impact, growth-oriented environment where performance drives advancement.
Opportunity to work on cutting-edge AI-driven data products shaping the future of analytics.

Product pay context

Based on 1,625 disclosed Product salaries on RoleSuite, the role pays a median of $176K/year, with most offers between $144K and $215K (10th–90th percentile: $114K–$252K).

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Data Product Manager

Accountabilities:

Requirements:

Benefits:

Product pay context

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