Sable is a New York–based biotech beauty company developing topical body-contouring creams that leverage Columbia University science to shrink fat cells and support long-term aesthetic maintenance.
ABOUT SABLE 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 ROLE You build the foundation upon which Sable's product exists. Every session runs on a real product environment in realtime, with an AI employee and a human sharing control. You own that system end to end: provisioning, streaming performance, cost per session, and the security standards that lets customers trust us with their products. You'll treat our engineers and deployment team as your customers, building the self-service platform and paved paths that let them spin up, configure, and operate environments without waiting on anyone. This is a role of extraordinary leverage: routinely supporting thousands of sessions, and as our volume grows with usage-based pricing, this infrastructure is both critical to margin and the user experience. You will be measured on the things that matter most: reliability, security, data handling, and uptime. WHAT YOU'LL DO - Build upon and grow the infrastructure that all engineers, the deployment team, and the product depend on - Own security and isolation guardrails, data-handling standards, and implement enterprise-level best practices - Own reliability and observability across every product surface: SLOs, incident response, and the instrumentation that flags any issues before the customer does - Allow us to scale browser use with optimal reliability as volume grows WHO YOU ARE - Experience in infrastructure and distributed-systems: container orchestration (Kubernetes), cloud cost engineering, realtime streaming systems, and DevOps - You bring a product mindset to internal platforms: your customers are the engineers and deployment team who build on your work, and their adoption and feedback is one of the ways of how you judge success - Excited to be the first dedicated owner of infrastructure, and to build the leverage that lets a small team operate like an enterprise