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General Manager, Data Operations

david ai • United States
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Lead David AI’s Data Factory, scaling audio data pipelines from experimental prototypes to production systems. Oversee team of Data Product Operations Leads, optimize pipeline health, and align data workflows with AI research goals. Requires 5–10 years of high-ownership ops/GM experience in fast-growing tech companies with technical fluency in data and SQL.

Key Highlights
Lead Data Factory operations and team of Data Product Operations Leads
Scale audio data pipelines from experimental to production at massive scale
Collaborate with AI researchers to design and validate new data workflows
Key Responsibilities
Build and lead a team of Data Product Operations Leads
Design and scale data pipelines from prototype to production
Monitor and improve pipeline health, quality, and efficiency
Collaborate with AI researchers to define data workflows
Partner with internal research teams to test new data shapes
Own cross-functional outcomes and system execution
Technical Skills Required
SQL Data Pipeline Design Large-Scale System Scaling
Benefits & Perks
Unlimited PTO
Top-notch health, dental, and vision coverage (100% coverage for most plans)
FSA & HSA access
401k access
Meals 2x daily (DoorDash) + snacks/beverages at office
Unlimited company-sponsored Barry’s classes
Visa sponsorship for international candidates (H-1B, O-1, E-3, TN, STEM OPT)
Nice to Have
Experience in data, ML, or large-scale operations
Background in Computer Science or industrial engineering
Founder/GM/COO experience in venture-backed startups

Job Description

About David AI

David AI is the first audio data research company. We bring an R&D approach to data—developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway.

About Our Data Operations Team

Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new data pipelines and run them at a massive scale.

About This Role

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