Platform Engineer

Reposted One Month Ago
San Francisco, CA, USA
In-Office
Mid level
Artificial Intelligence • Software • Generative AI
The Role
Build and own the end-to-end platform that runs realtime AI-human sessions: provisioning, streaming performance, cost per session, security/isolation, reliability, and observability. Provide self-service tooling for engineers and deployment teams, implement SLOs and incident response, and scale browser-based sessions while enforcing enterprise data-handling standards.
Summary Generated by Built In
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

Skills Required

  • Experience in infrastructure and distributed systems including container orchestration (Kubernetes), realtime streaming systems, cloud cost engineering, and DevOps
  • Ownership of security and isolation guardrails, data-handling standards, and implementing enterprise-level best practices
  • Ownership of reliability and observability across product surfaces: defining SLOs, incident response, and instrumentation
  • Experience scaling browser-based sessions and optimizing cost per session
  • Product mindset for internal platforms; strong collaboration with engineers and deployment team and focus on adoption
  • Willingness to be the first dedicated owner of infrastructure and build self-service platforms and paved paths
Am I A Good Fit?
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The Company
56 Employees
Year Founded: 2019

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.

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