Data Product Operations Lead

Responsibilities

• Own end-to-end success of a data pipeline, from early experiments to scaling up production systems that generate high-quality audio data at high volumes.
• Design and run pipelines that process a high volume of audio data with reliability, quality, and efficiency.
• Work with researchers at leading AI labs to identify new model capabilities and turn 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, spotting and fixing issues in sourcing, quality, or process.
• Drive impact with metrics, using throughput, quality, and cost to prioritize and improve.
• Take full-stack accountability across operations, product, engineering, and customers, solving bottlenecks and ensuring delivery.

Requirements

• 2–6 years in high-intensity environments (e.g. founder, strategy consulting, or venture-backed ops).
• Technical foundation in CS, Industrial Engineering, or similar; SQL required.
• Systems thinker who can spot leverage points and design for scale and durability.
• Strong product intuition, able to work with engineers and researchers to get to the right answer fast.
• High-execution operator: fast, detail-oriented, and uncompromising on quality.
• Collaborative and low-ego, willing to roll up your sleeves.

Nice-to-Haves

• Track record of extreme ownership, caring about outcomes over tasks.
• Experience in data, ML, or large-scale operations.

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.