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UpGuard

SaaS cybersecurity risk and vendor monitoring

Head of AI & Automation

Engineering LeadershipUpdated on Nov 9
Full-timeMelbourne VIC, AustraliaNo salary listed

About the Job

Requirements

  • A Bachelor's degree in software engineering, computer science, cybersecurity, or a related field is required.
  • Several years of experience in cloud infrastructure, security, and automation engineering, including production systems on Google Cloud, is required.
  • Working knowledge of large language models, AI agents, retrieval-augmented generation, and the Model Context Protocol is required.
  • Experience with Infrastructure as Code using Terraform, containers, Kubernetes, and Identity and Access Management is required.
  • Experience leading and growing a technical team, setting strategy and objectives and key results, and reporting to executives is required.
  • The candidate must be able to run several workstreams and stakeholder groups at once, keep people informed, and resolve blockers.
  • The candidate must communicate technical decisions, risks, and trade-offs clearly in writing and verbally to executives and less technical colleagues.
  • The candidate must be comfortable with the company's principle of radical candour: honesty with respect and confidently advancing ideas diplomatically.

Responsibilities

  • Set A2's charter, operating model, and rolling six-month strategy in alignment with the Chief Operating Officer and Steering Committee priorities.
  • Define quarterly objectives and key results for the function and report progress to the Steering Committee and Executive Committee.
  • Decide which processes to automate and which AI capabilities to build based on business impact, time saved, and risk.
  • Own the roadmap for ug-buddy, the internal AI co-worker that connects company knowledge, data, and tools through a single interface.
  • Lead, coach, and performance-manage the A2 team, design its structure and roles, and recruit new team members.
  • Run the team's delivery process, including fortnightly sprints, prioritisation, and a capacity model balancing project work, automation requests, team improvement, and buffer.
  • Set the technical direction and architecture for AI agents, retrieval-augmented generation, Model Context Protocol integrations, and workflow automation.
  • Review designs and production readiness for systems built on Google Cloud services including Vertex AI, BigQuery, and Google Kubernetes Engine, as well as n8n.
  • Deliver cross-functional automations that no single team owns, such as employee offboarding across identity, collaboration, and human resources systems.
  • Set standards for production automations covering ownership, error alerting, enforced linting, documentation, and least-privilege access; audit the platform against those standards and drive remediation.
  • Work with Cloud Platform Engineering and Security on hosting, access control, and incident response for A2 systems.
  • Perform AI risk reviews in vendor procurement by assessing vendors' AI use, data handling, and contract terms.
  • Own A2's tooling and vendor relationships, including n8n, AI model providers, and Google Cloud AI services.
  • Act as the single point of contact for AI, automation, and analytics requests through an intake channel that assigns every request an owner.
  • Work with department heads to map processes and agree on what A2 will build or enable.
  • Make A2's services understood across the company through documentation, communication, and training with the Enablement Lead.

Desired Qualifications

  • A relevant cloud, security, or AI certification, especially from Google Cloud.
  • Experience in enterprise teams, particularly with internal customers.
  • A background in security operations or compliance, such as SOC 2, applied to AI and automation governance.

About the Company

UpGuard

SaaS cybersecurity risk and vendor monitoring

UpGuard provides software tools to help organizations manage cybersecurity risk across digital operations. Its products—CyberRisk, Vendor Risk, and BreachSight—assess internal security, evaluate third-party partners, and monitor for exposed data, all as SaaS. The platform combines risk assessment, vendor risk management, and breach monitoring in one cloud-based system for ongoing visibility and fast responses. Its goal is to help organizations protect data and meet regulatory requirements through continuous risk management and timely remediation.

Company size
201-500
Company stage
Series C
Total funding
$121M
Headquarters
Mountain View, CA
Founded
2012

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