David Ai
Data Product Operations Lead
San Francisco. Posted 3 months ago
The role
You will design and scale pipelines that turn raw audio into high-quality datasets. You will own data products from prototype to production scale and work with researchers to build data workflows.
What you will do
- Own end-to-end success of a data pipeline from experiments to production systems.
- Design and run pipelines that process high volume audio data.
- Work with researchers to turn model capabilities into data workflows and project plans.
- Lead cross-functional workstreams across Ops, Product, and Engineering.
- Monitor and improve pipeline health.
- Drive impact with metrics including throughput, quality, and cost.
- Take full-stack accountability across operations, product, engineering, and customers.
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.
Nice to have
- A 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.
Before you apply
- We sponsor international candidates across a range of visa types, including H-1B transfers, H-1B1, O-1, E-3, and TN, and we support STEM OPT.
About the company
David AI is the first audio data research company. Founded in 2024 by a team of former Scale AI engineers and operators, it develops datasets for AI labs.