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Encord

AI-native data infrastructure for Physical AI

Head of Security

CybersecurityPosted on Nov 12
Full-timeLondon, UK

About the Job

Requirements

  • At least 10 years of experience in security, including at least 3 years owning or leading the security function at a high-growth technology or software-as-a-service company.
  • Strong technical depth in at least one of application security or cloud security, with Google Cloud Platform preferred, and sufficient breadth to lead across all security domains.
  • A track record of delivering ISO 27001 and/or SOC 2 as the accountable owner.
  • Experience building and managing security teams from an early stage.

Responsibilities

  • Own the security strategy and roadmap across application, cloud, corporate, and artificial intelligence security.
  • Build and lead the security team, hiring across application security, cloud security, and governance, risk, and compliance as the company grows.
  • Embed secure-by-design practices into engineering, covering threat modelling, the secure software development lifecycle, penetration testing, and bug bounty programs.
  • Own ISO 27001, SOC 2, and emerging artificial intelligence standards such as ISO 42001, plus GDPR and HIPAA readiness for healthcare customers.
  • Represent security to enterprise customers through due diligence, executive briefings, and contractual security terms.
  • Lead incident response and report security risk to the executive team and board.
  • Set guardrails for how the company builds with and adopts artificial intelligence, including large language model risks, data handling, and vendor reviews.

Desired Qualifications

  • Experience securing machine learning or artificial intelligence platforms or data-intensive products.
  • Experience in regulated sectors such as healthcare, life sciences, or automotive.
  • A background as a hands-on engineer before moving into leadership.

About the Company

Encord

AI-native data infrastructure for Physical AI

Encord provides an AI-native data infrastructure platform for Physical AI, helping enterprises manage multimodal data for robotics, autonomous systems, and related applications. It offers Encord Annotate for collaborative multimodal annotation, Encord Active for data curation and quality evaluation, and Encord Index for petabyte-scale dataset search and management, covering the full data lifecycle from collection to deployment. The platform acts as a universal data layer for production-grade Physical AI, addressing the infrastructure gap left by cloud-era tools focused on text and tabular data and emphasizing multimodal data and embodied AI. Its goal is to enable teams to build, evaluate, and deploy real-world AI systems more efficiently with scalable, reliable data tooling.

Company size
201-500
Company stage
Series C
Total funding
$107.1M
Headquarters
London, United Kingdom
Founded
2020

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