Data Product Operations Lead

US$ 125,000 – 175,000 per year · Full-time · On-site

  • San Francisco · CA
  • Posted 115 days ago
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Job description

About David AI

At David AI, our vision is to bring impactful AI into billions of lives through voice. Our mission is to help the world's leading AI companies build better voice models and agents. We're building the data and evaluation infrastructure behind those models.

Founded in 2024, we're a fast-growing Series B company backed by NVIDIA, Meritech, First Round, YC, and others, with ~70 people across San Francisco and New York City.

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. Our mandate is to spin up new data pipelines and run them at a massive scale.

This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach works, we industrialize it, building pipelines that can process audio with reliability, quality, and efficiency. We are relentless operators who thrive in ambiguity, equally comfortable prototyping novel workflows as we are managing large-scale production systems.

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. You’ll take ownership of data products from 0→1 prototypes through 1→N scale, working hands-on to build workflows, validate them with researchers, and run them reliably at production scale.

In this role, you will

  • 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.

Your background looks like

  • 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.

Bonus points if you 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.

Visas

We sponsor international candidates across several visa types, including H-1B transfers, H-1B1, O-1, E-3, and TN. We also hire candidates on STEM OPT. If you’re on OPT, we’ll want to confirm you have a path to one of the visas listed above before your OPT ends. While we can’t guarantee any individual outcome, we’ve successfully sponsored teammates from all over the world.

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