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techroles

Staff Product Engineer, Full Stack

David AI withdavid.ai Open · verified Oct 24, 2026
On-site San Francisco Full-time Senior Full-stack Engineering

At a glance

Senior Full-stack Engineering role at David AI. San Francisco · full-time · $195,000–$315,000 base.

SalaryStated by David AI
$195,000 – $315,000
Base salary for this role, in USD per year, as published in the posting.
This role, from David AIOur estimate for the market: $195,000–$255,000Median $220,500
The range includes the market median of $220,500 for senior full-stack engineering roles in San Francisco.
Worked out from 57 postings that stated pay, median $220,500. Last updated Oct 23, 2026.
RoleFull-stack Engineering
SenioritySenior
LocationSan Francisco
WorkplaceOn-site
EmploymentFull-time
Base pay$195,000–$315,000
PostedJun 19, 2026 · 4mo ago
Role brief

techroles summary, based on the employer's posting.

What you'll do

  • Lead full-stack feature work, releasing improvements to users on a daily cadence
  • Build systems that handle terabytes of audio and turn it into useful customer insights
  • Put LLM- and DSP-based solutions into use, then assess how well they help customers understand data
  • Work with researchers and Operations to refine data collection and deploy the related interfaces
  • Coach engineers, set technical standards, and guide the team as it grows

What you bring

  • At least six years building product-focused full-stack software
  • Strong web engineering fundamentals, including fast prototyping and scalable user-facing products
  • A record of shipping engineering work that delivers customer value
  • Technical leadership or engineering management experience, with careful execution in fast-moving settings

Who this fits

This role suits a senior product engineer who wants to lead technical work, mentor others, and build polished customer experiences. You’ll work on-site in San Francisco. Audio or machine learning experience is optional; the role calls for willingness to learn.

From the employer

About David AI

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.

About our Engineering team

At David AI, our engineers build the pipelines, platforms, and models that transform raw audio into high-signal data for leading AI labs and enterprises. We're a tight-knit team of product engineers, infrastructure specialists, and machine learning experts focused on building the world’s first audio data research company.

We move fast, own our work end-to-end, and ship to production daily. Our team designs real-time pipelines handling terabytes of speech data and deploys cutting-edge generative audio models.

About this role

As a Staff Full Stack Engineer at David AI, 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.

Opportunity

Full-stack Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Full-stack Engineering$190k+

Find me work

By the team behind techroles.

Find me work
Opportunity

Full-stack Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind techroles.