Data Product Operations Lead

David AI invites you to help design and scale data products that transform raw audio into high-quality datasets for frontier AI labs. This onsite role in San Francisco offers a salary of USD 145,000 to 175,000 per year and a culture built on collaboration, rigorous experimentation, and meaningful impact. If you thrive at the intersection of operations, product, and engineering, you’ll own the full data lifecycle from prototype to production.

Benefits

• Unlimited PTO.
• Top‑tier health, dental, and vision coverage with 100% coverage for most plans.
• FSA & HSA access.
• 401k access.
• Meals twice daily via DoorDash plus office snacks and beverages.
• Unlimited company‑sponsored Barry’s classes.

Responsibilities

• Own end‑to‑end success of a data pipeline, from early experiments to scaled production systems that generate high‑quality audio data at high volumes.
• Design and operate pipelines that process large volumes of audio data with reliability, quality, and efficiency.
• Collaborate with researchers at leading AI labs to identify new model capabilities and translate them into concrete data workflows and project plans.
• Lead cross‑functional workstreams across Ops, Product, and Engineering to build scalable data factory systems.
• Monitor and improve pipeline health, identifying and addressing issues in sourcing, quality, or process.
• Drive impact with metrics, prioritizing improvements based on throughput, quality, and cost.
• Take full‑stack accountability across operations, product, engineering, and customers to remove bottlenecks and ensure delivery.

Requirements

• 1–6 years in high‑intensity environments (for example, founder roles, strategy consulting, or venture‑backed operations).
• Background in strategy consulting, strategic projects, investment banking, operations, computer science, or a related field.
• Systems thinker who can identify leverage points and design for scale and durability.
• Strong product intuition, able to collaborate with engineers and researchers to reach robust conclusions quickly.
• High‑execution operator: fast, detail‑oriented, and uncompromising on quality.
• Collaborative and low‑ego, willing to roll up your sleeves.

Bonus Points

• A track record of extreme ownership, prioritizing outcomes over tasks.
• Experience in data, ML, or large‑scale operations.

About David AI

David AI is the first audio data research company, applying an R&D mindset to data to develop high‑quality training datasets with the same rigor AI labs apply to models. Our mission is to bring AI into the real world, with audio as the gateway. As AI capabilities evolve, high‑quality training data remains the bottleneck—and David AI focuses on filling that gap.

About Our Data Operations Team

Our Data Operations team powers David AI's Data Factory, transforming raw audio into training datasets used by leading AI labs. We design and run data pipelines at massive scale, starting from model capabilities we want to unlock, testing different data shapes and collection strategies, and validating them with researchers. When an approach proves viable, we industrialize it, building pipelines that deliver reliable, high‑quality audio data efficiently. We are relentless operators who thrive in ambiguity, comfortable prototyping novel workflows as well as managing large production systems.

About This Role

As a Data Product Operations Lead, you’ll help drive the Data Factory by designing and scaling pipelines that convert raw audio into high‑quality datasets for frontier AI labs. You’ll own data products from 0 to 1 prototypes through 1 to N scale, hands‑on building workflows, validating them with researchers, and running them reliably at production scale.