Data Product Operations Lead

Responsibilities

• - Design and run pipelines that process a high volume of audio data with reliability, quality, and efficiency.
• - Lead cross-functional workstreams across Ops, Product, and Engineering to build scalable “data factory” systems.
• - Monitor and improve pipeline health, spotting and fixing issues in sourcing, quality, or process.
• - Drive impact with metrics, using throughput, quality, and cost to prioritize and improve.

Requirements

• ABOUT DAVID AI David AI is the first audio data research company.
• We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models.
• Our mission is to bring AI into the real world, and we believe audio is the gateway.
• As audio AI advances and new use cases emerge, high-quality training data is the bottleneck.
• This is where David AI comes in.
• David AI was founded in 2024 by a team of former Scale AI engineers and operators.
• In less than a year, we’ve brought on most FAANG companies and AI labs as customers.
• We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.
• 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.
• ABOUT THIS ROLE As a Data Product Operations Lead, you’ll help drive David AI’s Data Factory — designing and scaling the pipelines that turn raw audio into high-quality datasets for frontier AI labs.
• - Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans.
• - Background in strategy consulting, strategic projects, investment banking, operations, computer science, or similar - Systems thinker who can spot leverage points and design for scale and durability.
• Experience in data, ML, or large-scale operations.

Benefits