General Manager, Data Operations

About the role

The General Manager of Data Operations at David AI will lead the team responsible for building and scaling data pipelines. This includes spinning up new data pipelines, running them at a massive scale, and ensuring high-quality, reliable data production.

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 to 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.

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

Qualifications

• Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.
• Competitive salary and equity package.
• Flexible PTO policy.
• Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
• Paid lunch and dinner in the office, every day through DoorDash.
• 401k access.

Benefits

• Flexible PTO policy.
• Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
• Paid lunch and dinner in the office, every day through DoorDash.
• 401k access.

Schedule

Full-time.

Pay

$150K - $250K.