---
title: 'Founding GTM Engineer at White Circle'
canonical: 'https://feeny.ai/job/founding-gtm-engineer-white-circle-london-aj9fz50xata1'
type: 'job'
last_seen: '2026-09-05'
---

# Founding GTM Engineer at White Circle

- **Company:** White Circle
- **Location:** London, United Kingdom
- **Compensation:** £80k–£110k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-01
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/whitecircle/4c2cfdd6-e7fc-4c39-84d8-517b7d52c5de

## Job description

## ABOUT WHITE CIRCLE

White Circle https://whitecircle.ai/ is an AI Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies – simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale.

- We’ve raised $11M from top funds, founders, and senior leaders at OpenAI, Anthropic, HuggingFace, Mistral, DeepMind, Datadog, Sentry, and others
- We process over 100M+ API calls every month
- We fine-tune and train our own LLMs so they run faster and cheaper than any open or proprietary model

We’re at a multi-million dollar run rate already having signed customers like Lovable and multiple neobanks. You’ll be joining at the most exciting time - early enough that the equity can be life changing but at a point where demand has been proven.

We’re a small, highly focused team. If you want to work deeply on hard problems and build the category-defining company in AI safety - this role is for you!

## WHAT YOU’LL DO

Automate low-value work out of the commercial process so the Sales team can spend more time closing deals

- Design and build the systems that power how we find acquire, and retain customers (both outbound and inbound)
- Own the CRM: you make sure our data is clean, structured, and reliable
- Build internal tools, API integrations, and custom automation logic
- Have real ownership & shape the playbook: what we build, use, how it fits together, and how it scales
- Design and deploy AI agents across the GTM motion (e.g., account research, pre-call intelligence, personalised outreach etc)
- Wire it directly into our operational systems so it changes how the team works
- Design the GTM data model (accounts, contacts and opportunities)
- Build and manage data pipeline, enrichment and integrations across the stack
- Build, ship and iterate fast

## WHAT WE’RE LOOKING FOR

Background & Experience

- 2+ years of experience in GTM engineering, technical RevOps, or a growth role where you were building automations and pipelines
- Experience designing and scaling systems in a high-growth company
- Hands-on with modern GTM tooling - Claude Code, Clay, Apollo, Instantly, n8n or similar - you've built multi-step enrichment and sequencing workflows, not just set up a table
- Comfortable with Python or SQL well enough to work with data, call APIs, and build lightweight scoring or enrichment logic
- Top-of-funnel focused - you know how to build systems that generate qualified pipeline at scale, from ICP definition through to booked meetings
- Experience in programmatic SEO and AEO
- Analytical and experimental mindset: proven ability to design tests, measure impact, and iterate quickly.
- Proven AI deployment experience (e.g., automations, agents, workflows)

WHAT SUCCESS LOOKS LIKE IN THE FIRST 6 MONTHS

In your first six months, we would expect you to identify the highest-converting early segments, build a functioning outbound and follow-up engine, create clear messaging for one or two strong wedges, generate a meaningful pipeline of qualified conversations, and help convert early pilots or customers. Just as importantly, we would expect the company to understand its GTM motion far better because of your work.

## COMPENSATION & BENEFITS

- Meaningful equity package
- All the hardware, tools, and services you need
- Team off-sites twice a year: we’ve recently been to the Alps and to Saint-Tropez

## HOW WE HIRE

1. Intro call
2. Take-home exercise
3. Interview with Head of Revenue & Data Engineer
4. Final call with our CEO & Head of Engineering

## About White Circle

## Company Overview
- **One-liner**: White Circle is a control layer for AI in production, providing safety, security, evals, and performance optimization through a unified API.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: Dover, Delaware, United States (operational hub in Paris, France)
- **Founded**: 2025
- **Founders**: Denis Shilov (Founder & CEO)

## Core Business
- **Primary industry**: AI Governance, AI Security, AI Observability
- **Target customers**: B2B, Enterprise (companies deploying AI agents, chatbots, or LLM-powered applications)
- **Mission or purpose**: To give organisations visibility into how their AI behaves, help them respond when things go wrong, and provide a unified system for improving reliability, safety and compliance.

## Products & Services
- **White Circle Platform**: A single API that integrates three layers:
  - **Protect**: Custom low-latency guardrails for blocking unsafe inputs, preventing jailbreaks, detecting prompt injections, PII leakage, and sensitive data leaks.
  - **Observe**: Real-time analytics including topic classification, user behavior clustering, custom metrics, error rate analysis, sentiment analysis, and risk scoring.
  - **Improve**: Model routing, dynamic prompt engineering, context enrichment, and automated optimization based on labelled user feedback.
- **CircleGuardBench**: A proprietary benchmark for evaluating AI moderation models across harm detection, jailbreak resistance, false positives, and latency.
- **KillBench**: A benchmark of hidden LLM biases in critical decisions (life-and-death scenarios).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: $11M raised in seed funding (announced May 2026)
- **Notable Investors/Partners**: Backed by prominent AI and technology leaders including Romain Huet (ex-Head of Product @DeepMind), Dirk Kingma (Anthropic), Guillaume Lample (Mistral), Thomas Wolf (Hugging Face), Olivier Pomel (Datadog), François Chollet (Keras), Mehdi Ghissassi (ex-DeepMind), Paige Bailey (DeepMind), and David Cramer (Sentry).
- **Growth Signals**:
  - 21 employees (+283.3% YoY, +9.5% monthly growth)
  - Monthly website traffic: 32,090 visits (+682.7% yearly)
  - Active job postings: 6 (monthly job posting growth +20%)
  - SOC 2 Type II and HIPAA compliant
  - Operates in 7 countries (France, Russia, Netherlands, Serbia, Switzerland, Georgia, Spain)

## Competitive Advantages
- **Proprietary self-adjusting models** optimized for low-latency and high performance
- **Unified platform** that combines safety, security, evaluation, and performance optimization – no need for multiple point solutions
- **Enterprise-grade compliance** (SOC 2 Type II & HIPAA)
- **Strong network effects** from backing by leaders at OpenAI, Anthropic, DeepMind, Hugging Face, and Datadog
- **Automated red-teaming** and continuous improvement through user feedback

## Strategic Focus
- Accelerate product development and expand the team across the US, UK, and Europe
- Grow global customer base across healthcare, finance, hiring, and security verticals
- Continue building benchmarks (CircleGuardBench, KillBench) to shape AI safety standards
- Maintain deep integration with the AI open-source ecosystem

## Why Work Here
- **Culture**: “Smart, friendly, and fun” team with a strong engineering and research focus (43% technical staff)
- **Location**: Based in Paris, France with a hybrid work model (office + remote)
- **Benefits**:
  - Strong salary
  - 20 paid days off (plus ability to take more for recovery)
  - Free education (company covers learning costs)
  - Team offsites several times a year
- **Open roles** (June 2026): QA Engineer, Product Engineer (Backend), DevOps Engineer, Product Designer, AI Engineer (Audio), Data Engineer
- **Impact**: Build the future of AI safety at a well-funded, high-growth startup with world-class investors

## Sources
1. [whitecircle.ai](https://whitecircle.ai)
2. [whitecircle.ai/careers](https://whitecircle.ai/careers)
3. [LinkedIn – White Circle](https://www.linkedin.com/company/whitecircle)
4. [Tech.eu – White Circle lands $11M](https://tech.eu/2026/05/12/white-circle-lands-11m-to-help-companies-secure-ai-systems/)

## Other roles at White Circle

- [Finance Lead](https://feeny.ai/job/finance-lead-white-circle-us-san-francisco-or-s3jtsbzkwt7f) — US San Francisco OR, NY
- [Product Brand Designer](https://feeny.ai/job/product-brand-designer-white-circle-us-san-francisco-or-3v7jkx8gskhf) — US San Francisco OR, NY
- [Founding Account Executive](https://feeny.ai/job/founding-account-executive-white-circle-us-san-francisco-or-rns9xb4d5gj6) — US San Francisco OR, NY
- [Recruiter (Research)](https://feeny.ai/job/recruiter-research-white-circle-remote-1vekq2rdfrvz)
- [DevOps Engineer](https://feeny.ai/job/devops-engineer-white-circle-paris-y84p4fve5nn1) — Paris, France
- [Founding Events Lead](https://feeny.ai/job/founding-events-lead-white-circle-new-york-wczngn43ffxc) — New York, NY
- [Partnerships Manager](https://feeny.ai/job/partnerships-manager-white-circle-london-c3ep31m67xse) — • London, United Kingdom
- [Senior Data Labeler](https://feeny.ai/job/senior-data-labeler-white-circle-paris-vtp78vea9yp4) — Paris, France
- [AI Red Team Engineer](https://feeny.ai/job/ai-red-team-engineer-white-circle-j1xbb74qxv2e) — •, United States
- [ML Infrastructure Engineer](https://feeny.ai/job/ml-infrastructure-engineer-white-circle-paris-cjvfwvec3k00) — Paris, France