General Manager, Data Operations
Company websitewithdavid.ai (David AI, opens in new tab)
Base salary $205K to $235K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA +1 more
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
All places named
- San Francisco, CA
- New York City, NY
About this job
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 General Manager of Data Operations, you will lead one of the most critical functions at David AI. You’ll own a major slice of our Data Factory: the engine that powers high-quality, scalable data production. You’ll lead the team responsible for building and scaling pipelines, from 0→1 experiments that unlock new model capabilities to 1→N industrialization that processes data reliably and efficiently.
In this role, you will
Build and lead a team of Data Product Operations Leads, to spin up and scale data pipelines, from early experiments to production systems that generate high-quality audio data at scale.
Act as a thought partner to executive leadership on how we can evolve and scale delivery capabilities in service of customer needs.
Continuously monitor and improve pipeline health, spotting issues in sourcing, quality, or process early and owning solutions end-to-end.
Use metrics to drive decisions, tracking throughput, quality, and cost to guide prioritization and identify where to scale or invest next.
Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans.
Partner with our internal research team to design and test new data shapes that unlock frontier model capabilities.
Own outcomes across functions, designing systems, managing execution, unblocking bottlenecks, and ensuring delivery at both prototype and production scale.
Your background looks like
5–10 years of experience in high-ownership roles (e.g., founder, GM, COO, or strategy/ops at a venture-backed startup).
Prior experience scaling large-scale operational efforts at high-growth startups or fast-paced companies.
Technical fluency with data and operations; SQL proficiency required.
Prior experience designing and scaling systems, processes, and teams across different customer segments and product lines.
A relentless operator with high standards, bias to action, and strong attention to detail.
Comfortable with ambiguity and rapid pace; thrives in a “build while flying” environment.
Low-ego, collaborative, and mission-driven, focused on team and company success.
Bonus points if you have
Experience in data, ML, or large-scale operations.
Background in CS, industrial engineering, or similar.
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.
Source: David AI on Ashby · View original posting (opens in new tab)
This listingGeneral Manager, Data Operations$205K to $235K
General Manager, Marketplace$205K to $235K
Research Scientist$210K to $360K
Staff Product Engineer, Full Stack$195K to $315K
Staff Software Engineer, Platform$195K to $315K
Chief of Staff to the CEO$190K to $230K
Product Engineer, Backend$165K to $225K
Chart as a table
| Role | Published base |
|---|---|
| General Manager, Data Operations (this listing) | $205K - $235K |
| General Manager, Marketplace | $205K - $235K |
| Research Scientist | $210K - $360K |
| Staff Product Engineer, Full Stack | $195K - $315K |
| Staff Software Engineer, Platform | $195K - $315K |
| Chief of Staff to the CEO | $190K - $230K |
| Product Engineer, Backend | $165K - $225K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2025-06-13
Where this pay comes from
Location as the employer wrote it: San Francisco • New York City
USD 205,000 – 235,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
