Lead Product Designer -AI Security & Agentic Experiences- UK (Remote)

EducationPals

United Kingdom

Remote

GBP 60,000 - 90,000

Full time

15 hours ago
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Job summary

EducationPals is seeking a proactive product design professional who will own security-focused research from discovery to validation and iteration. You will collaborate with Product and Engineering to shape experiences that scale across the platform, thinking beyond individual screens and into end-to-end journeys, information architecture, and reusable patterns.

This role emphasizes rigorous validation, responsible disclosure, and the integration of automation and AI into research workflows to

Qualifications

  • AI fundamentals and user research are essential
  • Experience with security-conscious product design is beneficial
  • Ability to think across end-to-end journeys and information architecture

Responsibilities

  • Define research boundaries, legal constraints, and testing permissions before discovery begins.
  • Apply manual and automated methods to identify candidate security weaknesses in code, configurations, and protocols.
  • Turn raw tool output into confirmed, repeatable vulnerabilities with documented proof.
  • Determine whether a bug can violate security properties and estimate real-world risk.
  • Prioritize vulnerabilities using structured frameworks and business context.
  • Communicate findings to maintainers with enough detail to enable timely remediation.
  • Use automated tools and AI assistants to scale discovery while preserving validation rigor.

Skills

AI fundamentals
User research

Job description

Reporting to the Director of Product Design, you’ll own product problems from early discovery and definition through to validation, detailed design, delivery and iteration. You’ll work closely with Product and Engineering, using research, data and strong product judgment to shape experiences that work for customers and the wider platform. This is a role for someone who thinks beyond individual screens — considering end-to-end journeys, information architecture, workflows, reusable patterns and

Relevance is based on skills and concepts, not a guarantee that you qualify.

Covered skills: AI fundamentals User research

Skills to close: None listed

Build the skills for this job

Coming-soon courses matched to this posting: outline, waitlist, and skill path.

1. Scoping and Authorization for Security Research

Define research boundaries, legal constraints, and testing permissions before discovery begins.

2. Discovery Techniques Across the Attack Surface

Apply manual and automated methods to identify candidate security weaknesses in code, configurations, and protocols.

3. Reproducing and Validating Findings

Turn raw tool output into confirmed, repeatable vulnerabilities with documented proof.

4. Exploitability Analysis and Impact Assessment

Determine whether a bug can violate security properties and estimate real-world risk.

5. Triage and Severity Scoring

Prioritize vulnerabilities using structured frameworks and business context.

6. Responsible Disclosure and Reporting

Communicate findings to maintainers with enough detail to enable timely remediation.

7. Integrating Automation and AI into Research Workflows

Use automated tools and AI assistants to scale discovery while preserving validation rigor.

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