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1 день назад

Product Manager (AI Analytics)

Формат работы
remote
Тип работы
fulltime
Грейд
middle
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

Product Manager (AI Analytics & Workflows): Translating customer workflows and data realities into clear product requirements for AI-powered products with an accent on creating measurable, trustworthy, and operationally useful AI outputs. Focus on defining analytics requirements, optimizing product-led onboarding, and coordinating high-quality delivery across releases.

Location: Remote, must be based in Latin America (LATAM)

Company

hirify.global is a mission-driven company developing AI-powered safety and analytics tools for clinical and research settings.

What you will do

  • Write high-quality PRDs and translate customer needs into well-scoped Jira tickets.
  • Define analytics requirements, dashboards, and metrics to help customers measure success.
  • Partner with Engineering and Data Science to resolve tradeoffs regarding model behavior and usability.
  • Improve product-led onboarding by refining in-app guidance and documentation to reduce time-to-value.
  • Coordinate release readiness, including launch communication and release notes.

Requirements

  • 3–5 years of experience in Product Management.
  • Proven ability to translate complex customer workflows into testable product requirements.
  • Experience collaborating with AI/ML and data science teams.
  • Proficiency in defining analytics requirements and traceability of insights.
  • Comfortable using data to inform product decisions and iterate based on workflow metrics.
  • Must be based in Latin America (LATAM).

Culture & Benefits

  • Opportunity for high cross-functional visibility and ownership of high-impact workstreams.
  • Collaborative, pragmatic, and mission-driven team environment.
  • Direct reporting line to the VP of Product and Engineering.
  • Culture that values clarity, strong execution, and scalable systems.

Hiring process

  • Recruiter screen (20 minutes).
  • Hiring manager interview (45 minutes).
  • Practical exercise involving a PRD or analytics requirement draft.
  • Cross-functional interview with Engineering, Data Science, or Clinical stakeholders.

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