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Member of Technical Staff: Infrastructure at Observable Intuition

Join Observable Intuition as a Founding Infrastructure Engineer and build the platform that allows AI to learn from real-world human experience. Led by a team with Google DeepMind backgrounds and Nature publications, we are creating the missing infrastructure layer for the world’s largest enterprises. You will own the production inference platform, architecting multi-tenant systems for both cloud and air-gapped environments. This is a rare opportunity to be the first infrastructure hire at a company rethinking how machines understand judgment and action by observing experience itself.

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Observable Intuition

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Location

San Francisco, United States

Compensation

Not Disclosed

Company

Observable Intuition

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Role overview

As the first infrastructure hire, you will build a production inference platform from the ground up. You’ll design portable, multi-tenant systems capable of running across managed clouds and air-gapped environments for Fortune 500 enterprises. This is a foundational role shaping how the next generation of AI learns from human experience and judgment.

Observable Intuition is an enterprise AI company that provides a context layer for AI agents in large organizations. Its platform continuously observes how knowledge work happens across the enterprise, surfaces the actions and context behind every decision, and builds a dynamic map of the organization. This context map is used to identify where and how AI deployment is safest, most compliant, and has the highest return on investment, enabling organizations to govern and scale AI agents with better visibility into workflows, decisions, and risks.

What you will do

  • Own the end-to-end production inference platform, optimizing model serving, orchestration, and GPU workloads for performance, latency, and cost.
  • Architect a portable, multi-tenant infrastructure that maintains rigorous security isolation across managed cloud, customer-owned hardware, and fully air-gapped environments.
  • Partner directly with the founders to shape the technical strategy, model lifecycle, and infrastructure roadmap for the next generation of intelligent systems.

Who this is a fit for

  • Extensive experience operating compute-intensive distributed systems or production ML infrastructure using tools like Kubernetes, Terraform, and high-performance orchestration layers.
  • Proven track record of designing multi-tenant platforms with rigorous isolation boundaries and handling complex data-processing pipelines at scale.
  • Ability to work with substantial autonomy as an early engineering hire, building robust systems from scratch without established blueprints or existing processes.

Why this role is remarkable

  • Founding engineer opportunity to define technical architecture and culture alongside a high-pedigree team with DeepMind credentials and Nature-published research.
  • Solve unique engineering challenges involving high-volume data processing and model serving in strictly isolated, air-gapped enterprise environments where no blueprint exists.
  • Receive significant equity as a foundational team member building a critical infrastructure layer used by some of the world’s largest organizations.

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