Data Product Operations Lead

David AI; San Francisco (CA); On-site; USD 145,000 - 175,000; Full time

Benefits offered by this job

Unlimited PTO

Health, dental, and vision coverage

401k plan

DoorDash meals

Barry’s classes

Job summary

David AI in San Francisco seeks a Data Product Operations Lead to design and scale pipelines turning raw audio into high-quality datasets for frontier AI labs. You will own data products from prototype to scale, working hands-on to build workflows and validate with researchers.

You will lead cross-functional workstreams with Ops, Product and Engineering, monitor pipeline health, optimize throughput, quality and cost, and take full-stack accountability to ensure timely delivery.

Qualifications

• 1–6 years in high‑intensity environments.
• Background in strategy consulting, operations, or CS.
• Systems thinker with scale design.
• Strong product intuition and collaboration with engineers/researchers.
• High‑execution operator, details matter.
• Collaborative and low‑ego, ready to roll up sleeves.

Responsibilities

• Own end-to-end data pipeline from experiments to production.
• Design and run high-volume pipelines with reliability and efficiency.
• Collaborate with researchers to turn capabilities into workflows.
• Lead cross‑functional streams across Ops, Product, and Engineering.
• Monitor pipeline health, identify issues in sourcing, quality or process.
• Drive impact with metrics, prioritizing throughput, quality, and cost.
• Take full‑stack accountability across operations, product, engineering and customers.

Skills

Data pipelines

Cross-functional

Strategic thinking

Product intuition

Fast execution

Education

CS/Operations background

Strategy consulting

Tools

Airflow

SQL

Python

Job description

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. Speech is versatile, accessible, and human—it fits naturally into everyday life. 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 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. Speech is versatile, accessible, and human—it fits naturally into everyday life. 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 recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.

Our team is sharp, humble, ambitious, and tight-knit. 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. 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.

Compensation Range: $145K - $175K