Full Stack Product Engineer, Team Lead — Voice AI

Resemble AI•Mountain View, CA
•Onsite

About The Position

Resemble AI is at the cutting edge of Generative Voice AI, creating immersive and innovative voice solutions that transform how we interact with technology. Our products empower creators and businesses to bring a new level of authenticity and engagement to their digital interactions, from virtual assistants to personalized content in multiple languages.

Requirements

  • Mid–senior full stack engineer with a track record of shipping production features.
  • Strong experience with Ruby on Rails, React, and Python (deep in at least 2; confident ramp in the 3rd).
  • Product-minded: you make good tradeoffs, write clean maintainable code, and care about UX.
  • Entrepreneurial: comfortable with ambiguity, proactive, and biased toward action.
  • Enjoys working in-person with a small, fast team in Mountain View.

Nice To Haves

  • Speech / audio product experience (TTS, voice UX, real-time systems).
  • Experience integrating model APIs and building internal tooling for ML product teams.
  • Previous startup experience in a high-ownership environment.

Responsibilities

  • Build and ship end-to-end product features across Rails backend, React frontend, and Python services.
  • Drive a lightweight execution cadence: facilitate standups, keep scope tight, unblock work, and push releases.
  • Use GenAI tools daily to accelerate delivery: code generation, refactors, test writing, debugging, docs, and design exploration—while maintaining high engineering quality.
  • Partner closely with product/design/GTM to turn customer feedback into shipped improvements.
  • Improve reliability and velocity: testing, instrumentation, performance, and developer tooling.
  • Take ownership of meaningful product areas and iterate fast with real customer usage.

Benefits

  • Be part of a cutting-edge company that is shaping the future of AI-driven speech technology.
  • Work with a talented and passionate team dedicated to innovation and excellence.
  • Enjoy a collaborative and inclusive work environment that fosters creativity and growth.
  • Contribute to the development of technologies that have a real impact on AI security and the prevention of deepfake misuse.
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