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3 дня назад

Data and Product Operations Lead (AI)

135 000 - 175 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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 and Product Operations Lead (AI): Owning audio and voice data sets from conception through delivery with an accent on data quality, cross-functional product operations, and machine learning applications. Focus on coordinating speaker onboarding and QA, reducing noise through engineering collaboration, and solving how data performs during model training.

Location: New York, New York, United States; Workplace: Hybrid

Base salary: $135,000–$175,000 per year, plus equity

Company

An AI and human data company focused on building and iterating high-quality audio and voice data sets for research labs and technology companies.

What you will do

  • Own audio and voice data sets from conception through delivery, treating data as a product.
  • Partner with product, research, engineering, and deployment teams to define data set goals.
  • Manage projects on the data platform, including speaker onboarding and quality assurance coordination.
  • Collaborate with engineering on bug fixes, noise reduction, and automation.
  • Work with researchers and ML engineers to understand and improve data performance in model training.
  • Join customer-facing meetings when required by the project.

Requirements

  • At least 2 years of experience in consulting, strategy and operations, or intensive operations roles.
  • Strong generalist abilities with the flexibility to work across functions and adapt as priorities change.
  • Ability to sustain intense work periods in an output-focused environment.
  • Curious, humble, and low-ego working style.
  • Ability to maintain a high quality bar, prioritizing quality over speed and volume.

Nice to have

  • Background in private equity or investment banking.
  • MBB consulting experience with a strong promotion trajectory.
  • Experience in two-sided marketplaces, heavy-operations companies, or early-stage startups.

Culture & Benefits

  • Hybrid work model based in New York.
  • Work in small project pods with close collaboration across the business.
  • Low-ego, curious, and highly collaborative environment.
  • Equity included alongside base compensation.

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