We are building visual conversational AI that feels human. Backed by Accel, Lightspeed and South Park Commons.
About the role
We’re looking for a Business Operations Associate to help Nuance Labs run smoothly day-to-day and build the foundation for the next stage of growth. You’ll own our day-to-day finance operations, from expense tracking and vendor payments to month-end close. Beyond finance, you’ll take on cross-functional and special projects across the company. This is a hands-on role with an emphasis on reliable finance execution and practical problem-solving wherever the business needs it most. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bring 1–4 years of experience in finance, consulting, or startup operations, with a proven ability to tackle unstructured problems and deliver results
- Care deeply about building teams and shaping a positive and high-performing culture
- Are resourceful in navigating finance, HR, and other processes — able to build order where none exists
- Can partner closely with the team to turn vague needs (and sometimes half-baked ideas) into structured processes, anticipating problems and solutions before they’re spelled out
- Enjoy wearing multiple hats and thrive in a small, ambitious, high-trust team
More about this role
Nuance Labs is building photorealistic, real-time AI avatars with emotional intelligence: a full-duplex audiovisual system that can listen, speak, react, interrupt, and respond like a real person.
We're a research company, with PhDs from MIT, UW, Oxford, CMU, and Johns Hopkins, and industry experience from Apple, Meta, Amazon AGI, and more. Backed by Accel, Lightspeed, South Park Commons, and NVIDIA, we combine frontier research with ruthless engineering needed for consumer-grade, real-time systems. The team is small, the work is real, and the problems are unsolved.
Most conversational AI avatars today are hacks — a face slapped on a speech-to-speech pipeline, stuck in the uncanny valley: emotionless, mechanical, one-turn-at-a-time. Current systems take 2–5 seconds to respond; natural conversation requires sub-500ms. That's a 10x improvement, and it demands rethinking the entire stack.
That rethinking starts with full-duplex: an AI that listens and speaks simultaneously, perceives emotion in real time, and responds with a face that actually reflects it. It's an extremely hard problem, and we're developing foundation models designed for it from the ground up.
We’re looking for a...
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