Data Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Product Manager (AI): Transforming complex alternative datasets into structured, AI-ready data products with an accent on data modeling, methodological rigor, and scalable product experiences. Focus on defining how raw signals become actionable intelligence and ensuring AI-generated insights are explainable and statistically sound.
Location: Must be based in the United States
Company
A next-generation AI-powered data product company that transforms complex alternative datasets into actionable intelligence for business decision-making.
What you will do
- Own the transformation of raw alternative datasets into structured, scalable, AI-ready data products.
- Design and maintain methodologies that translate complex datasets into reliable business insights.
- Partner with Data Engineering to ensure robust pipelines, clear definitions, and well-documented data structures.
- Define and enforce data quality standards, metric definitions, and lineage tracking.
- Establish reasoning rules for AI-generated insights, including edge cases and inference boundaries.
- Lead validation, testing, and incident management processes for data changes.
Requirements
- 3–6+ years of experience in data product management, analytics, data science, or related roles.
- Strong SQL proficiency and solid understanding of data pipelines and schemas.
- Experience owning metric definitions and data quality frameworks in production environments.
- Background working with alternative or panel data with methodological nuance.
- Ability to work cross-functionally between technical data teams and business stakeholders.
- Must be based in the United States.
Nice to have
- Exposure to AI/ML products, LLM-based systems, or evaluation frameworks.
Culture & Benefits
- Fully remote-friendly work arrangement within the US.
- Flexible work hours and generous vacation policy.
- 401(k) retirement plan with company match.
- Parental leave, wellness budget, and learning & development reimbursement.
- High-impact environment where performance drives advancement.
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