Job description

About the Company 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. What you’ll do • 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/GTМ 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. What we’re looking for • 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. Bonus • 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 Interview scorecard (what “great” looks like) • Shipping & ownership: takes features from vague idea → production with minimal hand-holding • Full-stack depth: solid Rails + React fundamentals; pragmatic Python services experience • Execution cadence: keeps work moving, communicates clearly, unblocks without “managing” • Product sense: makes good UX and scope tradeoffs; cares about customer impact • Startup mindset: fast learner, low ego, high accountability Why Join Us? • 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.

Requirements

Must-haves

None extracted.

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
Interview scorecard (what “great” looks like)
Shipping & ownership: takes features from vague idea → production with minimal hand-holding
Full-stack depth: solid Rails + React fundamentals; pragmatic Python services experience
Execution cadence: keeps work moving, communicates clearly, unblocks without “managing”
Product sense: makes good UX and scope tradeoffs; cares about customer impact
Startup mindset: fast learner, low ego, high accountability
Why Join Us?
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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aireactpythonml

Platform: dover
Effort: medium