Staff Product Engineer — Lead Scalable Audio Data Products
David AI
San Francisco (CA)
On-site
USD 130,000 - 160,000
Full time
14 days+
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Benefits offered by this job
Unlimited PTO
Top-notch health, dental, and vision coverage
FSA & HSA access
401k access
Meals 2x daily through DoorDash
Unlimited company-sponsored Barry’s classes
Job summary
A leading audio data research company in California is seeking a Staff Product Engineer to lead the Product Engineering team. You will build innovative products that enhance data understanding and drive research iterations. The ideal candidate has over 6 years of full-stack engineering experience and a focus on creating highly polished user experiences. This role offers great benefits and an opportunity to work on cutting-edge audio AI projects.
Qualifications
6+ years of product-focused full-stack engineering experience.
Experience building rapid prototypes and scalable user solutions.
Proven track record delivering engineering solutions that provide customer value.
Experience in fast-paced environments with detail-oriented execution.
Focus on building intuitive, highly polished production-grade user experiences.
Track record of success in technical leadership or engineering management.
Willingness to learn in AI/ML or audio.
Responsibilities
Lead full-stack feature development and iterate rapidly.
Build scalable systems processing terabytes of audio data.
Deploy and evaluate LLM- and DSP-based solutions.
Drive research iteration and interface deployment.
Mentor engineers and establish technical standards.
Stay current with cutting-edge frameworks.
Skills
Full-stack engineering experience
Web development fundamentals
Delivering engineering solutions
Detail-oriented execution
Building intuitive user experiences
Technical leadership
Willingness to learn AI/ML
Tools
Next.js
TypeScript
Node.js
PostgreSQL
AWS
Job description
A leading audio data research company in California is seeking a Staff Product Engineer to lead the Product Engineering team. You will build innovative products that enhance data understanding and drive research iterations. The ideal candidate has over 6 years of full-stack engineering experience and a focus on creating highly polished user experiences. This role offers great benefits and an opportunity to work on cutting-edge audio AI projects.