## **About CTGT & The Mission**
Despite massive investment in commercial AI, organizations often find that demonstrated value is elusive, primarily due to the non-deterministic risk inherent to generative models. CTGT is the deterministic governance layer that enables the most important global institutions to deploy AI workflows with confidence.
Born out of Stanford University research, we provide the control plane that makes it possible. A lightweight, model-agnostic system that enforces policy, prevents drift, and produces auditable decisions in real time. When benchmarked on HaluEval, the CTGT Policy Engine (paired with GPT-120B OSS) outperformed several frontier models with 80% lower compute cost.
While we sit on the edge of AI research, CTGT brings frontier intelligence into real-world environments. We apply cutting-edge theory directly in production to make large language models more reliable, controllable, and performant in practice.
Our mission is to bring models to the level of performance and accountability required by the Fortune 500. By bridging the gap between LLM capabilities and domain-specific requirements, we unlock the true potential of generative AI to solve the most pressing problems in our world today.
## **The Role**
CTGT is building the control plane for frontier intelligence. This is the layer where users understand, configure, and trust how our systems behave. Your job is to make that layer clear, reliable, and intuitive.
You will design and build the product interfaces through which customers interact with the Policy Engine and our governance platform. This is not about presentation. It is about giving users real control over complex systems without exposing unnecessary complexity.
You will define reusable patterns and components that can be applied across products, ensuring consistency as the platform grows. When the right solution requires changes beyond the interface, you will make them.
This role sits at the boundary between product experience and system behavior. The quality of that boundary determines whether users trust the system or fight it.
## **What You Will Do**
* Build products interfaces that give users clear control over complex AI systems
* Own the full stack behind those interfaces, from interaction through to backend behavior
* Design and implement APIs and services that support clean, predictable product surfaces
* Develop reusable components and patterns that scale across the platform
* Ensure consistency, correctness, and performance across the entire user experience
## **Who You Are**
* You have built and owned full stack systems that users rely on
* You are strong on both frontend and in designing and building backend systems
* You think in terms of product surfaces and system behavior, not just components or endpoints
* You have experience with modern frontend frameworks and understand how they work under the hood
* You design systems that stay coherent as complexity grows
* You take responsibility for the end-to-end user experience
## **What We Offer**
**Compensation & Equity**: Competitive base compensation, plus significant equity in a venture-backed company with institutional investors including Google’s Gradient Ventures, General Catalyst, and Y Combinator. We want people who think and act like owners.
**Real Impact:** You will work directly on the core systems that determine how models perform in the wild. Your work ships into real, high-stakes environments where governance, auditability, and performance are non-negotiable.
**Autonomy & Trust:** We operate with a high degree of trust. You are expected to form strong technical opinions and execute on them.
Visa sponsorship is not available for this role.
