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STAFF PRODUCT ENGINEER - FULL STACK

San Francisco, CA, US • Posted 9 hours ago • Updated 59 minutes ago

Full Time

Travel Required

On-site

Fitment

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Job Details

Skills

SANS
Research
Data Collection
Mentorship
Software Engineering
Data Engineering
Signal Processing
Web Development
Prototyping
Attention To Detail
FOCUS
IT Management
Engineering Management
Artificial Intelligence
Digital Signal Processing
Machine Learning (ML)
JavaScript
TypeScript
Node.js
PostgreSQL
Amazon Web Services
FFmpeg
SAINT

Summary

Hi,

Tittle-Staff Product Engineer, Full Stack

Location: San Francisco, CA - Hybrid

Job TYPE- FullTime

About this role

As a Staff Product Full Stack Engineer at Client, 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, , WebRTC, FFmpeg.

Best Regards,

Ishika

SR. IT Technical/Engineer Recruiter

Ph No-

Email:

Address: 505 Knolle Court, Saint Augustine, FL 32092

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91022079
Position Id: 2026-51451
Posted 9 hours ago

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