Staff Product Engineer/Tech Lead

DRH Search • San Francisco, CA

6h • Onsite

About The Position

We're assisting a well-funded startup in the audio data research space with their search for product engineers. Their mission is to bring AI into the real world through voice. The role will work onsite in their SF office and they're hiring multiple engineers in this capacity. What you'll do: 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. What you'll bring: 5+ 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. Nice to haves: 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.

Requirements

• 5+ 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.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed