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.
The roleYou build Aidan himself. You empower Aidan to orchestrate his abilities across four modalities in realtime: voice (two-way, multilingual conversation), hands (live browser use inside real products), eyes (proactive vision on the user's screen), the Brain (a self-improving context graph), and the verifiers (how we can keep evaluating Aidan's performance in real scenarios). Making that feel human is one of the hardest engineering problems in AI, and our engineering team's unique ability to solve it is what makes Sable special.
What you'll doImprove agent runtime across topics like voice latency, perception, personalization, action planning for live browser use
Build out the Skills system: turning screen recordings and human-led demos into reliable, durable knowledge of how to operate a customer's UI
Advance perception: improve Aidan's ability to see and understand the user's screen in realtime and use those visuals to decide when and how to intervene
Strengthen the improvement engine: study Aidan's interactions to determine where he took a suboptimal action, what he could have done better, and how he can use those moments to learn and improve automatically
Engineer with deep experience in at least one of: realtime systems (voice/streaming/media), LLM agents and orchestration, browser/computer use, and applied ML such as multimodal evals
Comfortable in a small team where you own problems end to end and communicate fluidly
Preferred: previous experience at a leading AI company or institution
Skills Required
- Deep experience in realtime systems (voice/streaming/media)
- Experience with LLM agents and orchestration
- Experience with browser automation and live browser interaction
- Applied ML experience (multimodal evaluation, perception)
- Ability to own problems end-to-end in a small team and communicate fluently
- Previous experience at a leading AI company or institution
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.
