We are looking for an Engineering Manager with 6+ years of product-focused engineering experience to lead and grow the engineering team at David AI. You'll partner closely with the CTO to drive technical direction, ship core products powering our audio data research platform, and build a high-performing team at one of the fastest-growing AI infrastructure companies.
What will you be doing?
Hire, structure, and mentor the engineering team while setting and upholding high performance standards
Scope and ship new products enabling researchers to leverage high-quality audio data and develop novel insights
Build scalable data processing pipelines that extract actionable insights from terabytes of audio data daily
Architect systems to 100× capacity for collecting, curating, and delivering data to leading speech model teams
Partner with the CTO to drive technical direction and execute against an ambitious product roadmap
Key Requirements
6+ years of product-focused engineering experience with strong web development fundamentals
Experience leading technical teams through rapid growth phases at high-growth startups or scale-ups
Track record of shipping products from zero-to-one and scaling them in fast-paced environments
Comfort solving ambiguous, unsolved problems with tangible customer impact
Bias towards action with detail-oriented execution; former founders or 2+ years of EM experience a plus
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.
Senior Machine Learning Research Engineer
Staff Full Stack Engineer
Senior Backend Engineer
Product Engineer
Software Engineer, Machine Learning Infrastructure
Salary
$250,000 - $300,000
Location
San Francisco, United States
Experience
6+ years
Total raised
$75.0M
Last stage
Series B
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.