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David AIDavid AISan Francisco, CA

General Manager, Data Operations

Leads Data Operations team to build and scale audio data pipelines from experiments to production for AI models. Partners with researchers and executives, drives metrics-based decisions, and ensures high-quality data delivery at scale. Requires 5-10 years high-ownership experience and SQL proficiency.

175k – 240k/yr
On-site5+ YOEBusiness Operations

About the role

Responsibilities

  • Build and lead a team of Data Product Operations Leads to spin up and scale data pipelines from early experiments to production systems generating high-quality audio data at scale.
  • Act as thought partner to executive leadership on evolving and scaling delivery capabilities for customer needs.
  • Monitor and improve pipeline health, spotting issues in sourcing, quality, or process early and owning end-to-end solutions.
  • Use metrics to drive decisions, tracking throughput, quality, and cost to guide prioritization and investments.
  • Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans.
  • Partner with internal research team to design and test new data shapes unlocking frontier model capabilities.
  • Own outcomes across functions, designing systems, managing execution, unblocking bottlenecks, and ensuring delivery at prototype and production scale.

Requirements

  • 5–10 years of experience in high-ownership roles (e.g., founder, GM, COO, or strategy/ops at a venture-backed startup).
  • Prior experience scaling large-scale operational efforts at high-growth startups or fast-paced companies.
  • Technical fluency with data and operations; SQL proficiency required.
  • Prior experience designing and scaling systems, processes, and teams across different customer segments and product lines.
  • Relentless operator with high standards, bias to action, and strong attention to detail.
  • Comfortable with ambiguity and rapid pace; thrives in a "build while flying" environment.
  • Low-ego, collaborative, and mission-driven, focused on team and company success.

Nice-to-haves

  • Experience in data, ML, or large-scale operations.
  • Background in CS, industrial engineering, or similar.

Benefits

  • Unlimited PTO.
  • Top-notch health, dental, and vision coverage with 100% coverage for most plans.
  • FSA & HSA access.
  • 401k access.
  • Meals 2x daily through DoorDash + snacks and beverages at office.
  • Unlimited company-sponsored Barry’s classes.

Skills

SQLData PipelinesMachine LearningData OperationsSystem DesignMetrics AnalysisWorkflow PrototypingLarge-Scale Operations
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