Member of Technical Staff — Full Stack

Human Intuition Inc.

New York (NY)

On-site

USD 120,000 - 160,000

Full time

14 days+
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Job summary

Human Intuition Inc. is building the autonomous company where software learns from how work is done and operates within clear constraints.

The role focuses on shaping product interfaces, APIs, and services that reveal what the agent is doing, what it needs, where it failed, and how a human can guide it. You will contribute across frontend and backend boundaries, shipping tools for tracing decisions, inspecting evidence, and comparing outcomes, while ensuring accessibility, performance, and

Qualifications

  • Experience shipping web products across frontend and backend boundaries.
  • Strong TypeScript and modern frontend skills.
  • Proficiency in a backend language such as Python.
  • Experience with API design, databases, authentication, and authorization.

Responsibilities

  • Build interfaces for assigning work, reviewing decisions, following progress, and resolving exceptions.
  • Create tools for exploring traces, inspecting evidence, and comparing workflow outcomes.
  • Develop backend services and APIs that connect agent execution, business data, and user-facing workflows.
  • Design real-time interactions with clear states for pending, completed, failed, and interrupted work.
  • Collaborate with operators, researchers, and engineers to turn observed needs into focused product improvements.
  • Own accessibility, performance, testing, deployment, and ongoing reliability for the features you ship.

Skills

TypeScript
Frontend development
Backend development
API design
Databases
Authentication
Authorization
Product judgment
Python

Tools

Python

Job description

Building the autonomous company

Human Intuition is building the autonomous company. Businesses run on accumulated judgment: how to interpret a situation, choose an action, and learn from its consequences. Much of that knowledge lives in people, even when the decisions they make leave traces in software.

We are working to make that judgment learnable. A business has defined systems, tools, permissions, histories, and objectives. Those boundaries create an opportunity to build agents that learn from how work is done, act within clear constraints, and improve through feedback. Our ambition is to turn the knowledge inside institutions into software that compounds.

The role

Build the product through which people work with autonomous systems. You will make complex agent behavior understandable: what the system is doing, what it needs, where it failed, and how a person can direct it. The work spans product design, interfaces, APIs, and the services behind them.

What you’ll do
  • Build interfaces for assigning work, reviewing decisions, following progress, and resolving exceptions.

  • Create tools for exploring traces, inspecting evidence, and comparing workflow outcomes.

  • Develop backend services and APIs that connect agent execution, business data, and user-facing workflows.

  • Design useful real-time interactions with clear states for pending, completed, failed, and interrupted work.

  • Work with operators, researchers, and engineers to turn observed needs into focused product improvements.

  • Own accessibility, performance, testing, deployment, and ongoing reliability for the features you ship.

What you’ll bring
  • Experience shipping web products across frontend and backend boundaries.

  • Strong TypeScript and modern frontend skills, alongside proficiency in a backend language such as Python.

  • Good product judgment and care for clear, usable interfaces.

  • Experience with API design, databases, authentication, and authorization.

  • The ability to break an ambiguous problem into a useful release and improve it through feedback.

Useful experience

Products for complex workflows, operational dashboards, collaborative tools, real-time interfaces, or applications powered by language models.

What success looks like

People can direct work, understand what an agent has done, and intervene when needed without having to interpret internal system details.

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