---
title: 'Head of International Security at Scale AI'
canonical: 'https://feeny.ai/job/head-of-international-security-scale-ai-london-tqh9ew4va44q'
type: 'job'
last_seen: '2026-09-16'
---

# Head of International Security at Scale AI

- **Company:** Scale AI
- **Location:** London, United Kingdom
- **Posted:** 2026-07-15
- **Last confirmed live:** 2026-09-16
- **Apply:** https://job-boards.greenhouse.io/scaleai/jobs/4712321005

## Job description

Scale AI sits at the intersection of frontier AI, enterprise software, and national security. We safeguard high-value assets: proprietary AI data and infrastructure, a global contributor ecosystem, and sensitive enterprise and government customer data.

As our International Head of Security, you will own and unify Scale’s security strategy across our non-US affairs: Global Public Sector and non-US Enterprise deals. You will drive the execution, customer engagements and compliance with frameworks such as GDPR, ISO27001, UK Cyber Essentials Plus, the EU AI Act, NIS2 and country-specific sovereignty requirements while staying tightly aligned to our global secure-by-default architecture set by the Head of Security.

As we expand into FDE-led Agentic Applications while continuing to serve our data and model customers, our security surface area spans internal systems, external products, distributed contributors, and high-assurance government environments. You are a builder who believes security is a product feature, not a hurdle — and who can raise both our defensive maturity and our ambition in frontier AI security.

## What You'll Do

Execute the Global Security Strategy Across International Markets

- Drive execution of Scale's multi-year secure-by-default roadmap across non-US markets, surfacing regional needs into global architecture decisions.
- Translate regional regulatory requirements (GDPR, ISO 27001/27017/27018, SOC 2, UK Cyber Essentials Plus, EU AI Act, NIS2, and country-specific data residency / sovereign-cloud rules) into concrete engineering controls.
- Track regional security metrics and accountability, and represent the international perspective in global prioritisation, audits, and roadmap reviews.

Lead Regional Security Engineering & Threat Detection

- Own the regional execution of identity, fine-grained RBAC, secrets management, CI/CD hardening, encryption, logging, and infrastructure protection with a particular focus on cross-border data flows and in-region telemetry.
- Stand up high-fidelity detection and response capabilities that meet local time zone coverage, breach-notification timelines, and regulator expectations.
- Drive systemic risk reduction through platform-level controls, partnering with the global security engineering team rather than building parallel stacks.

Secure Products, Data, and AI Systems for International Customers

- Ensure enterprise-grade protection of customer data, proprietary datasets, and AI assets across regional deployments, including support for in-region processing, encryption with customer-managed keys, and data-localisation commitments.
- Design and enforce robust multi-tenant isolation, fine-grained RBAC, and privilege lifecycle management across customer environments serving international enterprises and public sector buyers.
- Address AI-specific attack surfaces; prompt injection, tool abuse in agentic workflows, data exfiltration, and model/data integrity risks.
- Champion secure SDLC practices, threat modeling, and code review standards within FDE teams.

Lead Insider Risk & Contributor Integrity Across International Populations

- Partner with Product and Operations to reduce fraud, account compromise, collusion, and identity-based abuse without degrading platform usability, particularly in higher-risk regions.
- Implement strong auditability, privilege governance, and behavioural anomaly detection across sensitive workflows in a way that is defensible to international regulators.

Be the Lead Security Partner for International Customers & Governments

- Serve as the lead security partner in international enterprise and public sector engagements; running customer security reviews, supporting regulator interactions, and shaping trust narratives across the UK, EU, MENA, and beyond.
- Drive execution of the international clearable-infrastructure plan without fragmenting the core platform.
- Partner with Sales, Legal, and Compliance to streamline security reviews and build durable customer confidence.

## Qualifications

Required

- 8+ years in cybersecurity (security engineering, product security, detection/response, or cloud security), with at least 4 years leading or formally mentoring engineers in high-growth or enterprise environments.
- Demonstrated experience building and scaling security programs that materially improved risk posture.
- Strong technical depth in cloud-native security (AWS / GCP / Azure), IAM / Zero Trust, infrastructure security, logging and monitoring, and secure SDLC practices.
- Hands-on familiarity with GDPR, ISO 27001, SOC 2, UK Cyber Essentials Plus, NIS2, and the EU AI Act.
- Experience managing insider risk or securing environments with significant third-party, contractor, or marketplace-style user populations.
- Ability to operate cross-functionally with Engineering, Product, Legal, Compliance, Sales, and Public Sector stakeholders.
- Right to work in the UK. Comfortable traveling regularly; willing to be vetted for country-specific clearances where customer engagements require it.

## Preferred / Differentiators

- Experience securing AI / ML platforms, LLM-based systems, or agentic applications
- Familiarity with AI-specific threat vectors such as training data poisoning, prompt injection, tool/plugin abuse, and protection of model-related IP.
- Experience operating at the intersection of enterprise SaaS and government or national security customers.
- Working knowledge of GCC (Gulf Cooperation Council) sovereign compliance and privacy regulations (such as UAE DESC CSP and Qatar NCSA NISCF/NIA)
- Proven ability to build secure-by-design multi-tenant systems serving FTSE 100 / Euro Stoxx 50 / global Fortune 500 clients across multiple regulatory regimes.
- Experience leading red-teaming, adversarial testing, or offense-informed defense programs.
- Active or eligible for UK clearance (SC or DV), NATO clearance, or equivalent in another allied jurisdiction.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's [Know Your Rights poster](https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our [privacy policy](https://scale.com/legal/privacy) for additional information.

## About Scale AI

## Company Overview
- **One-liner**: Scale AI provides high-quality data, RLHF, model evaluations, and full-stack AI infrastructure to help enterprises and governments build, deploy, and oversee reliable AI systems.
- **Entity Type**: Private (49% non‑voting stake owned by Meta Platforms as of June 2025; total funding $1.6B across eight rounds)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2016
- **Founders**: Alexandr Wang, Lucy Guo (Wang left in June 2025; current CEO is Jason Droege)

## Core Business
- **Primary industry**: AI infrastructure, data annotation, large language model (LLM) evaluation, enterprise AI deployment
- **Target customers**: B2B – Enterprise and government organizations; also serves leading AI labs (e.g., OpenAI, Google DeepMind, Meta, Microsoft, General Motors)
- **Mission**: “Develop reliable AI systems for the world's most important decisions.”

## Products & Services
- **Data at Scale**: High-quality training data, annotations, and RLHF for advanced AI models (SaaS + human-in-the-loop service)
- **Evaluations**: Rigorous model evaluations, benchmarking, and red‑teaming to measure and improve AI performance (service)
- **Applied AI**: Full‑stack AI systems that help enterprises and governments build, deploy, and oversee reliable AI (SaaS + consulting)
- **Safety, Evaluation and Alignment Lab**: Research arm focused on LLM alignment and safety (internal R&D; also co‑created the “Humanity's Last Exam” benchmark)
- **Subsidiaries**: Remotasks (computer vision and autonomous vehicle data labeling), Outlier (LLM data annotation)

## Market Standing
- **Valuation**: $29B (as of 2025 – cited on scale.com)
- **Key Metric**: Total Funding – $1.6B (including the $14B Meta investment that acquired a 49% non‑voting stake in June 2025)
- **Notable Investors/Partners**: Meta Platforms (49% owner), with commercial customers including Google, Microsoft, Meta, General Motors, OpenAI, and Time. Also works with U.S. and Qatari governments.
- **Growth Signals**:
  - Headcount: Scale.com cites “1,000+” employees; LinkedIn reports 3,751 employees (+32.1% YoY).
  - 90% of the world’s leading generative AI model builders are powered by Scale.
  - 15 billion human decisions used to train AI models; $1 billion paid to contributors globally.
  - Active job postings: 284+ (as of July 2025), with strong hiring in enterprise engineering, AI agents, and solutions roles.

## Competitive Advantages
- **Data moat**: Scale’s proprietary Data Engine and access to millions of human‑annotated decisions create high‑quality training data that competitors cannot easily replicate.
- **Trust & adoption**: Used by 90% of leading GenAI builders; runs private benchmarks for the most ambitious AI companies.
- **Government credibility**: Direct contracts with the U.S. Department of Defense and international governments (e.g., Qatar) – a high‑barrier entry point.
- **Full‑stack offering**: From raw data annotation to LLM evaluation and end‑to‑end applied AI deployment, Scale covers the entire AI lifecycle.
- **Research leadership**: In‑house Safety, Evaluation and Alignment Lab; co‑creator of the “Humanity's Last Exam” benchmark.

## Strategic Focus
- **Enterprise GenAI agents**: Ramping up “AgentOps” and “Frontier Agents” engineering teams (many open roles in SF, NY, London, Budapest).
- **Healthcare & life sciences**: Hiring dedicated GTM leaders and AI strategists for healthcare vertical.
- **International expansion**: Growing offices in London, Budapest, Mexico City, and Washington DC.
- **Safety and alignment**: Continued investment in red‑teaming, model evaluations, and government‑focused AI safety contracts.

## Why Work Here
- **Mission‑driven**: “Develop reliable AI systems for the world’s most important decisions” – directly shaping frontier AI capabilities.
- **Compensation & benefits**: Comprehensive health, dental, vision, mental health services; generous PTO; annual learning & development stipend; parental leave; ERGs; guest‑friendly offices with happy hours, game nights, book clubs.
- **Engineering culture**: Credos such as “Write the Market,” “Find the 20%,” “Earn Customer Love,” and “Quality is Our Cheat Code” emphasize impact over effort, customer obsession, and structured thinking.
- **Growth trajectory**: Rapid headcount growth (+32%), major Meta investment, and expansion into new verticals signal a company in high‑growth mode.
- **Flexible work**: Offices in SF, NY, London, Budapest, Mexico City, DC; the careers page highlights “flexible environment,” though specific remote/hybrid policy is not explicitly stated.

## Sources
1. [scale.com](https://scale.com/about)
2. [scale.com](https://scale.com/)
3. [scale.com/careers](https://scale.com/careers)
4. [linkedin.com](https://www.linkedin.com/company/scaleai)
5. [greenhouse.io](https://job-boards.greenhouse.io/scaleai)

## Other roles at Scale AI

- [Engineering Manager, Connectivity](https://feeny.ai/job/engineering-manager-connectivity-scale-ai-san-francisco-4164x0xvepes) — San Francisco, CA / New York, NY
- [Software Engineering Intern (Summer 2027)](https://feeny.ai/job/software-engineering-intern-summer-2027-scale-ai-doha-dan4rwykjkwb) — Doha, Qatar
- [Software Engineering Intern (Summer 2027)](https://feeny.ai/job/software-engineering-intern-summer-2027-scale-ai-london-y8rd2n7qqg8w) — London, United Kingdom
- [Software Engineer - New Grad](https://feeny.ai/job/software-engineer-new-grad-scale-ai-london-vzmr2pqdbnxk) — London, United Kingdom
- [Software Engineer - New Grad](https://feeny.ai/job/software-engineer-new-grad-scale-ai-doha-htj4304njmap) — Doha, Qatar
- [Senior Machine Learning Engineer, Public Sector](https://feeny.ai/job/senior-machine-learning-engineer-public-sector-scale-ai-denver-bp9tff13vfs8) — Denver, CO / Honolulu, HI / Washington, DC
- [Staff Full-Stack Software Engineer, (Forward Deployed), GPS](https://feeny.ai/job/staff-full-stack-software-engineer-forward-deployed-gps-scale-ai-riyadh-23wvtk2r2609) — Riyadh, Saudi Arabia
- [Senior Full-Stack Software Engineer, (Forward deployed), GPS](https://feeny.ai/job/senior-full-stack-software-engineer-forward-deployed-gps-scale-ai-riyadh-erdv9vdxa2ej) — Riyadh, Saudi Arabia
- [Technical Program Manager (Cyber), Public Sector](https://feeny.ai/job/technical-program-manager-cyber-public-sector-scale-ai-columbia-309aqc75ajna) — Columbia, MD / Washington, DC
- [Director of Product Management, Enterprise Core Platform](https://feeny.ai/job/director-of-product-management-enterprise-core-platform-scale-ai-san-francisco-saj76g63zph3) — San Francisco, CA / New York, NY