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2 дня назад

Data Product Manager (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Product Manager (AI): Building and scaling an AI-powered Insight Agent that transforms raw alternative data into trusted business intelligence with an accent on methodology design, data quality, and agent guardrails. Focus on defining how complex datasets are structured, interpreted, and surfaced to ensure accurate, statistically defensible answers for customers.

Location: Must be based in the United States

Company

hirify.global is a leading provider of alternative data insights, helping clients derive value from billions of data points through advanced analytics and AI-driven solutions.

What you will do

  • Translate raw alternative datasets into scalable, agent-ready data products.
  • Design methodologies for combining, normalizing, and interpreting disparate data sources.
  • Define valid query patterns, edge cases, and methodological guardrails for the Insight Agent.
  • Partner with Data Engineering to shape source data pipelines and ensure high data quality.
  • Translate customer needs into scalable data models and new agent capabilities.
  • Manage incident response for data quality issues and methodology changes.

Requirements

  • Must be based in the United States
  • No visa sponsorship available
  • 3–6 years of experience in data product management, analytics engineering, or data science.
  • Strong fluency in SQL and experience with data pipelines and schema management.
  • Deep experience with alternative, panel, or complex data sources.
  • Proven track record of cross-functional coordination between technical and commercial teams.

Nice to have

  • Prior experience with AI/ML products or LLM-based agents.
  • Experience with evaluation frameworks for AI models.

Culture & Benefits

  • Competitive base salary with comprehensive benefits package.
  • Fully remote-friendly work environment within the US.
  • Flexible work hours and vacation policy.
  • Generous 401(k) match and parental leave.
  • Wellness budget and learning reimbursement.

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