General Manager, Data Operations

About the role

As General Manager of Data Operations, you will lead one of the most critical functions at David AI. You’ll own a major slice of our Data Factory: the engine that powers high-quality, scalable data production. You’ll lead the team responsible for building and scaling pipelines, from 0→1 experiments that unlock new model capabilities to 1→N industrialization that processes data reliably and efficiently.

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.
• 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.

Qualifications

• Low-ego, collaborative, and mission-driven, focused on team and company success.
• Bonus points if you have Experience in data, ML, or large-scale operations.
• Background in CS, industrial engineering, or similar.

Skills

• Strong leadership and management skills.
• Experience in data and operations.
• Ability to work in a fast-paced, ambiguous environment.
• Excellent communication and collaboration skills.

Benefits

• 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.