Jack helps you find life-changing roles at companies like 
CTGT
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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 frontier models (Gemini 3 Pro Preview, Claude 4.5 Opus and 4.5 Sonnet) at drastically 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.
- Industry
- AI governance
- Founders
- Cyril Gorlla
- Funding
- seed funding · $7 million · seed
- Investors
- Gradient Ventures, General Catalyst
Open roles at CTGT
Talk to Jack and he’ll help you get considered for the roles below, or anything else that fits what you’re looking for.
Machine Learning Engineer: LLM Interpretability & Systems
Machine Learning Engineer at CTGT, Inc. in San Francisco, CA. CTGT is a Stanford-born AI governance startup backed by Gradient Ventures and General Catalyst. The role focuses on mechanistic interpretability to build a deterministic control plane for deploying reliable and auditable LLMs.
Senior Software Engineer
As a Senior Software Engineer at CTGT, Inc. in San Francisco, you will own architectural decisions for high-performance, auditable systems. CTGT is a Stanford-born team backed by Gradient Ventures and General Catalyst, building a deterministic governance layer for AI used by Fortune 500 companies. The role offers real ownership to tackle hard distributed systems problems in a demanding AI.
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Principal Engineer
93%Payments Infra · Remote · $320–400k
High-reliability systems
Head of Engineering
96%Series B Healthtech · London · £160–220k
Scaling eng orgs 10–40
Engineering Lead
91%AI Safety · SF · $300–380k
ML infra + team leadership
Staff Engineer
94%Frontend Platform · Remote · $280–350k
Next.js + edge infra
Senior Backend Engineer
98%Digital Banking · London · £130–180k
Distributed systems + fintech
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JackTell me about a technical migration you led under time pressure.
I led a six-week migration of 40 services in three phases. We aligned stakeholders early and shipped two days ahead with zero downtime.
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Salary Benchmark
Base
$155k
Equity
$40k
Bonus
$15k
Based on Senior Engineer roles in London, Series A-B startups.
Salary Benchmarking
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JackI’ve been a senior engineer for 3 years. Should I push for Staff or move into management?
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JackEmployer
“We can offer $128,000 base salary.”
Jack
Below P50. Counter at $148k: they’ve run 4 rounds, they won’t walk.
You said
$148,000
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Introduction
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Marcus, CTO at Acme, wants to chat about the Founding Engineer role. He liked your distributed systems experience.
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