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 Senior Corporate Counsel to help Nuance Labs move quickly on day-to-day deals and navigate the evolving AI data and privacy landscape. As our first in-house attorney, you'll work closely with our business, research, and data teams, alongside our external legal counsel team, to negotiate agreements and resolve practical legal questions. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- At least 3 years of experience in commercial or technology transactions, ideally with a mix of law firm and in-house experience
- Strong drafting and negotiation skills, with a track record of independently managing multiple deals from start to finish
- Practical experience with privacy and data protection, including data processing agreements and consent requirements
- Experience with data licensing, data acquisition, or AI-related legal issues
- Sound judgment in ambiguous situations and the ability to give clear, actionable legal guidance
- A hands-on approach and enthusiasm for day-to-day execution in a fast-moving research and technology company
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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