Sable built Aidan, the first AI employee who can lead customer calls using realtime voice, vision, and browser use. Aidan runs a live, two-way conversation inside a real product environment, clicking through the product like a human, watching the user's screen, and adapting the journey on the fly. Every conversation feeds a self-improving context graph we call the Brain, so Aidan gets smarter with each call.
You translate what makes a good performance into clear, defensible signals, and use those signals to improve Aidan. Role involves carrying out evaluations of agents on a broad range of areas on the frontier including voice, vision, and browser use, and using the findings to optimize the agent, context, and models.
Design evaluations for voice, vision, and browser use to direct and accelerate improvements in the agent, context, and models
Build and maintain our internal benchmarks and simulations
Work on systems to score customer-specific scenarios and identify gaps in current capabilities.
Engineer with statistics and/or applied machine learning experience
Comfortable in a production codebase
Bonus: prior experience with evaluations or with voice, realtime, or browser use/computer use agents.
Skills Required
- Experience with statistics and/or applied machine learning
- Comfort working in a production codebase
- Prior experience with evaluations, voice, realtime systems, or browser/computer-use agents
What We Do
Sable is an AI company based in San Francisco that builds multimodal digital-human enterprise workers for the world's largest organizations. By combining voice, video, and browser navigation with deep business context, Sable is redefining the future of work, specifically focusing on products that will transform Go-To-Market (GTM) strategies.
