2 часа назад
General Manager of Data Operations (AI)
205 000 - 235 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
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
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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