1-6 years in high-intensity environments (founder, strategy consulting, venture-backed ops)
Experience in strategy consulting, strategic projects, investment banking, operations, or computer science
Ability to design systems for scale and durability
Strong product intuition for rapid problem solving with engineers and researchers
Detail-oriented with a commitment to quality and execution excellence
Collaborative mindset, ready to engage and support the team
Responsibilities
Own end-to-end success of a data pipeline from prototypes to scaled production systems
Design and operate reliable, high-volume audio data processing pipelines
Collaborate with researchers at AI labs to identify and develop data workflows
Lead cross-functional teams across Operations, Product, and Engineering
Monitor and enhance pipeline health to rectify sourcing and quality issues
Utilize metrics to drive impactful improvements in throughput and quality
Maintain full-stack accountability in operations, product, engineering, and customer interactions
Benefits
Unlimited PTO
Comprehensive health, dental, and vision coverage with most plans at 100%
Access to FSA & HSA
401k access
Meals twice daily via DoorDash and snacks in the office
Unlimited access to company-sponsored fitness classes
Full Job Description
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 01 prototypes through 1N 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 2data factory2 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.
