Member of Technical Staff, Platform

$180k - $300k San Francisco, CA FullTime

Posted 6mo ago

Job Location

San Francisco, CA

Tech Stack

Remote Work Policy

On-site

Employment Type

FullTime

Categories

AI Infrastructure Engineer

About the job

We are seeking engineers to build a complex AI-native product within a small, high-caliber team. Our platform operates AI-moderated video interviews at a massive scale, connecting millions of individuals and utilizing AI to conduct open-ended conversations. The goal is to bridge the gap between AI capabilities and human needs, with a vision to eventually serve AI agents as customers. The platform aims to simulate human behavior at scale, analyzing reactions to new ideas, decision-making processes, and market shifts, all accessible through a 'Human API' that allows AI agents to test features and iterate on product development at AI speed.

Responsibilities

  • Solve problems end-to-end across the LLM pipeline, infrastructure, backend, and UX.
  • Own parts of the product and make decisions across the full stack.
  • Scope and execute work independently, considering customer needs.
  • Identify and address root causes when issues arise.
  • Push the limits of frontier LLMs and work with model labs on new releases.
  • Communicate complex ideas effectively in writing.
  • Contribute to the development of AI-first products like Study Composer and Research Agent.
  • Evaluate qualitative AI outputs to enable further optimization.

Requirements

  • Strong technical background, with a passion for details from language design to compilers.
  • Experience or strong interest in being a founder, with a customer-centric mindset.
  • Ability to move fast while prioritizing correctness and root cause analysis.
  • Excitement about working with and pushing the boundaries of LLMs.
  • Excellent written communication skills for independent work.
  • Ability to own end-to-end processes and grow with the company.

Benefits

  • Full medical, dental, and vision coverage
  • FSA/HSA and life insurance options
  • Meaningful equity ownership
  • Annual Learning Stipend (books, courses, conferences, coaching, language lessons)
  • Annual Wellness Stipend (gym memberships, race fees, massages, ergonomic gear)
  • Monthly Stipend for AI tools (software and GPU credits)
  • Daily catered lunch and dinner in SF office, or daily meal credit for NYC and London teams
  • Flexible time off (take-what-you-need vacation policy)
  • Company offsites and events
  • Opportunity for significant growth and ownership as an early team member

About Listen Labs

Get new AI jobs in your inbox

A weekly digest of the newest AI engineering roles.

© 2026 AI Job Board. All rights reserved.