Data Product Operations Lead
Company: David AI
Location: San Francisco
Posted on: April 1, 2026
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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 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 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. 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.
Keywords: David AI, Stockton , Data Product Operations Lead, IT / Software / Systems , San Francisco, California
