Staff Product Engineer, Full Stack
AI/audio data startup · San Francisco, CA
- Location
- San Francisco, CA · Hybrid
- Salary band
- Band not stated
- Type
- Full-time
- Level
- Staff
- Work authorization
- Not stated
Stack
Next.js · TypeScript · TailwindCSS · Node.js · tRPC · PostgreSQL · AWS · WebRTC · FFmpeg · Full Stack Development · LLM · Digital Signal Processing · ML · Trigger.dev · Web Development · Audio Processing
About the role
Staff Product Engineer, Full Stack About this role As a Staff Full Stack Engineer, you'll lead our engineering team in building cutting-edge products that help our customers make sense of the audio data they'll use to train their models, working closely with researchers to consistently iterate on how to best collect our data. In this role, you will - Lead full-stack feature development and iterate rapidly to deliver innovations to our users daily. - Build scalable systems processing terabytes of audio data and deriving actionable insights. - Deploy and evaluate LLM- and DSP-based solutions to enhance customer data understanding. - Drive research iteration and interface deployment for data collection with researchers and Operations. - Mentor engineers and establish technical standards as the team scales. - Stay current with cutting-edge frameworks across software engineering, data engineering, ML, and signal processing. Your background looks like - 6+ years of product-focused full-stack engineering experience. - Strong web development fundamentals with 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. - AI/ML or audio experience is not required but willingness to learn is essential. Bonus points if you have - Educational or professional experience with digital signal processing and a deep understanding of speech. - Experience building and deploying ML models in a production environment. - Led (managed or tech-led) engineering teams in high-growth environments. Some technologies we work with - Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg. 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. Location: San Francisco, CA (Hybrid) Employment Type: Full-time with benefits
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