Speak

AI Product Engineer

Speak
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3 years ago
San Francisco, CA, USAMid Level / Senior

Base Salary

$150k - $280k/yr

Responsibilities

  • Develop and deploy LLM-powered language learning products across the full stack.
  • Enhance the quality and performance of existing AI-powered features.
  • Build and iterate on conversational onboarding, lesson experiences, grammatical assessment and feedback, and personalized lessons.
  • Collaborate with Engineering, Applied ML, Product, Design, and Content teams.
  • Improve processes and best practices for prompting, experimentation, evaluation, LLM operations, and quality and performance measurement.
  • Scale product features to more users and languages.

Requirements

  • 3–5+ years of experience in full-stack/backend, product-focused software engineering.
  • Proficiency with React, Node, TypeScript, and Python.
  • Real-world experience developing and deploying LLM applications.
  • Strong understanding of what works and does not work when building LLM applications.
  • Experience with LLM operations and tools such as vector databases, RAG, and prompt operations.
  • Strong intuition for improving LLM system performance and output quality.
  • Strong product intuition and the ability to think cross-functionally about LLM-powered product experiences.
  • Ability to work independently and build at high velocity.

Benefits

  • Work is based in the San Francisco, California office.
  • Opportunity to work with a distributed global team across San Francisco, Ljubljana, Seoul, Tokyo, and other locations.
  • Opportunities to interact with users across regions and travel.
  • Join a rapidly growing company with product-market fit and significant individual impact.

Categories

AI ApplicationsFull StackProduct Engineering
Speak

About Speak

201-500 employees

Speak builds an AI-powered language learning app that offers conversation practice, instant feedback, and structured lessons for consumers via a subscription. Headquartered in San Francisco, it first launched in South Korea in 2019 and now supports learners across many markets and 15+ languages. The company is privately held and focuses on speech recognition and tutoring experiences on mobile.

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