GM, Data Operations — Scale Audio Data Pipelines

David AI; New York (NY); On-site; USD 205,000 - 235,000; Full time

Benefits offered by this job

Unlimited PTO

Health, dental, and vision coverage

FSA & HSA access

401k access

Meals 2x daily through DoorDash

Snacks and beverages in office

Barry’s classes

Job summary

David AI in New York is seeking a General Manager of Data Operations to lead the Data Factory, building and scaling data pipelines from experiments to production that deliver high-quality audio data at scale.

You will partner with researchers and executive leadership to evolve delivery capabilities, monitor pipeline health, and drive data-driven decisions for frontier model capabilities.

Qualifications

• 5–10 years in high-ownership roles (e.g., founder, GM, COO, or strategy/ops at a venture-backed startup).
• Experience scaling large-scale operational efforts at high-growth startups or fast-paced companies.
• SQL proficiency required.
• Experience designing and scaling systems, processes, and teams across different customer segments and product lines.
• A 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.

Responsibilities

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

Skills

Data operations

SQL proficiency

Operational leadership

Cross-functional collaboration

Tools

Data pipelines

Job description

David AI in New York is seeking a General Manager of Data Operations to lead the Data Factory, building and scaling data pipelines from experiments to production that deliver high-quality audio data at scale.

You will partner with researchers and executive leadership to evolve delivery capabilities, monitor pipeline health, and drive data-driven decisions for frontier model capabilities.