General Manager, Data Operations

About David AI At David AI, our vision is to bring impactful AI into billions of lives through voice. Our mission is to help the world's leading AI companies build better voice models and agents. We're building the data and evaluation infrastructure behind those models. Founded in 2024, we're a fast-growing Series B company backed by NVIDIA, Meritech, First Round, YC, and others, with ~70 people across San Francisco and New York City. 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. This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach works, we industrialize it, building pipelines that can process audio with reliability, quality, and efficiency. We are relentless operators who thrive in ambiguity, equally comfortable prototyping novel workflows as we are managing large-scale production systems. About this 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. In this role, you will 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. Your background looks like 5 to 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. Bonus points if you have 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 available at the office. Unlimited company-sponsored Barry's classes. Visas We sponsor international candidates across several visa types, including H-1B transfers , H-1B1, O-1, E-3, and TN. We also hire candidates on STEM OPT. If you’re on OPT, we’ll want to confirm you have a path to one of the visas listed above before your OPT ends. While we can’t guarantee any individual outcome, we’ve successfully sponsored teammates from all over the world.