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2 часа назад

General Manager of Data Operations (AI)

205 000 - 235 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
General Manager of Data Operations (AI): Leading the Data Factory function that builds and scales audio data pipelines from early experiments to reliable production systems with an accent on high-quality dataset production, operational scalability, and cross-functional execution. Focus on designing data workflows with AI researchers, monitoring pipeline health, using throughput, quality, and cost metrics, and scaling teams and systems across prototype and production environments.

Location: San Francisco, United States; on-site

Salary: $205,000–$235,000 per year plus equity

Company

hirify.global is an audio data research company developing high-quality training datasets and data pipelines for AI labs.

What you will do

  • Build and lead a team of Data Product Operations Leads responsible for scaling audio data pipelines from experiments to production.
  • Own a major part of the Data Factory, covering 0→1 workflow experiments and 1→N industrialized data production.
  • Partner with executive leadership, AI researchers, and internal research teams to translate model capabilities into data workflows and delivery plans.
  • Monitor and improve pipeline health, sourcing, quality, throughput, and operational efficiency.
  • Use metrics such as throughput, quality, and cost to guide prioritization and investment decisions.
  • Design systems, manage execution, remove bottlenecks, and ensure delivery across prototype and production scales.

Requirements

  • 5–10 years of experience in high-ownership roles such as founder, GM, COO, or strategy and operations at a venture-backed startup.
  • Experience scaling large operational efforts at high-growth startups or fast-paced companies.
  • Technical fluency with data and operations; SQL proficiency is required.
  • Experience designing and scaling systems, processes, and teams across customer segments and product lines.
  • Ability to operate with ambiguity and rapid pace while maintaining high standards and attention to detail.
  • Collaborative, low-ego, mission-driven approach focused on team and company success.

Nice to have

  • Experience in data, machine learning, or large-scale operations.
  • Background in computer science, industrial engineering, or a similar field.

Culture & Benefits

  • Unlimited paid time off.
  • Health, dental, and vision coverage with 100% coverage for most plans.
  • Access to FSA, HSA, and 401(k) programs.
  • Meals twice daily through DoorDash, plus office snacks and beverages.
  • Unlimited company-sponsored Barry’s classes.

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