Data Product Operations Lead
$125,000–$180,000 year
On-siteNew York City, New York, United States or San Francisco, California, United States
Job Summary
Own end-to-end success of data pipelines, from early experiments to scaling production systems that generate high-quality audio data. Design and run pipelines processing high volumes of audio with reliability, quality, and efficiency, working hands-on to build workflows and validate them with researchers at leading AI labs. Lead cross-functional workstreams across Ops, Product, and Engineering to build scalable data factory systems, while monitoring pipeline health and fixing issues in sourcing, quality, or process. Drive impact using throughput, quality, and cost metrics to prioritize improvements and ensure delivery. Take full-stack accountability across operations, product, engineering, and customers to solve bottlenecks.
Required Qualifications
- 1–6 years in high-intensity environments (e.g. founder, strategy consulting, or venture-backed ops)
- 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
- 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
Desired Qualifications
- A track record of extreme ownership, caring about outcomes over tasks
- Experience in data, ML, or large-scale operations
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