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6 часов назад

Product Management, Human Data Platform (AI)

305 000 - 385 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
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

Product Manager (AI): Developing systems to collect high-quality human data to improve AI models with an accent on labeling interfaces and scalable data pipelines. Focus on translating research needs into technical infrastructure and optimizing the human-in-the-loop data collection process.

Location: Hybrid: Must be based in San Francisco, CA or New York City, NY (minimum 25% office presence)

Salary: $305,000 - $385,000 USD

Company

AI safety and research company focused on creating reliable, interpretable, and steerable AI systems.

What you will do

  • Own the product direction for human data tooling, prioritizing labeling interfaces and infrastructure investments.
  • Partner with engineering to rapidly prototype and ship scalable data collection tools.
  • Collaborate with research teams and data ops to identify high-leverage tooling investments.
  • Analyze crowd worker and vendor pain points to improve operational visibility and data quality.
  • Define and track outcome-based KPIs, including time-to-launch and model evaluation impact.

Requirements

  • Experience shipping technical products with a deep understanding of technical constraints.
  • Background working with research teams, preferably in AI/ML contexts.
  • Ability to communicate effectively with both crowd workers and research scientists.
  • Must be based in or able to work from San Francisco or New York City (hybrid).
  • Bachelor's degree or equivalent professional experience.

Nice to have

  • Experience building annotation platforms or human-in-the-loop pipelines.
  • Intuitive eye for complex UI interactions in annotation workflows.
  • Strong project management skills across organizational boundaries.

Culture & Benefits

  • Competitive compensation and optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and collaborative office environments.
  • Visa sponsorship available for qualifying candidates.
  • Collaborative "big science" research culture focusing on high-impact goals.

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