Threat Intelligence Analyst LockedIn AI

Company:
Locked In AI

Employment Type:

Full-Time
Work Model:
Remote (US-Based)
· Optional Hybrid (New York, NY)
Compensation: $120,000 – $175,000 USD / year

Reports To:

Co-Founder / CEO

Locked In AI is a leading real-time AI interview and meeting copilot trusted by over 1 million users worldwide. We are building the most advanced AI-powered career preparation ecosystem, helping candidates succeed in live interviews, coding assessments, and professional communications.

Our platform combines real-time AI assistance with human-like intelligence to help users communicate with clarity, confidence, and precision.

We are seeking a sharp, analytical Threat Intelligence Analyst to identify, monitor, and assess cyber threats targeting our platform, AI systems, users, and business operations.

This is an intelligence-driven security role where you will collect threat data from multiple sources, analyze adversary behavior, and produce actionable intelligence that strengthens our security posture.

You will focus heavily on AI-specific threats, including prompt injection, model extraction, data poisoning, credential leaks, phishing campaigns, and emerging attacks targeting AI-native SaaS platforms.

• Threat Monitoring & Analysis:
  Monitor OSINT, dark web forums, threat feeds, social media, and intelligence platforms.
• Identify emerging cyber threats targeting AI systems and SaaS platforms.
• Track threat actors (APT groups, cybercriminals, AI-specific attackers).
• Analyze TTPs using MITRE ATT&CK and MITRE ATLAS frameworks.
• Detect credential leaks, phishing campaigns, and brand impersonation risks.
• Intelligence Reporting:
  Produce daily intelligence briefs, tactical alerts, and strategic reports.
• Translate complex threat data into actionable insights for engineering and leadership.
• Develop IOCs, detection rules, and mitigation recommendations.
• Maintain structured threat intelligence knowledge base.
• AI Security Intelligence:
  Track adversarial attacks on LLM systems (prompt injection, jail breaking, model extraction), monitor AI threat landscape using OWASP LLM Top 10 and MITRE ATLAS.
• Collaborate with AI/engineering teams to strengthen guardrails and defenses.
• Track AI-enabled cybercrime (deepfakes, AI phishing, automated attacks).
• Incident Support & Detection:
  Support incident response with real-time threat intelligence, build SIEM queries, detection rules, and monitoring signatures.
• Conduct post-incident analysis and attribution where possible.
• Automate enrichment workflows for faster threat detection.
• Vulnerability & Risk Intelligence:
  Track vulnerability disclosures and exploit trends, assess business impact and exploitability of vulnerabilities, prioritize remediation based on real-world threat activity, perform periodic threat risk assessments.
• Collaboration & Research:
  Work closely with engineering, product, and leadership teams; participate in ISACs and threat intelligence communities; provide internal security awareness training; stay updated with emerging threat intelligence techniques.

• 3+ years in threat intelligence, cyber threat analysis, or security research.
• Experience producing actionable intelligence reports.
• Strong OSINT and threat actor analysis experience.
• Cross-functional collaboration experience.
• Startup/high-growth environment experience preferred.
• Strong understanding of cyber threat landscape and attack vectors.
• Experience with OSINT tools and threat intelligence platforms.
• SIEM experience (Splunk, Sentinel, Elastic, etc.).
• Familiarity with MITRE ATT&CK, MITRE ATLAS, OWASP LLM Top 10.
• Knowledge of networking fundamentals (DNS, HTTP, TCP/IP, etc.).
• Python or scripting experience for automation and analysis.
• Strong analytical and structured thinking.
• Excellent written communication skills.
• Adversarial mindset (think like an attacker).
• Self-driven and proactive ownership mentality.

• Experience with AI/LLM threat intelligence.
• OSINT investigations or dark web monitoring experience.
• Incident response support experience.
• Knowledge of AI security frameworks (NIST AI RMF, MITRE ATLAS).
• Experience in SaaS, edtech, or career-tech space.
• Contributions to security research or open-source intelligence tools.
• Early-stage startup experience.

• Equity:
  Meaningful early-stage ownership.
• Impact:
  Security for a platform used by 1M+ users.
• Flexibility:
  Remote-first with NYC optional hybrid.
• Growth:
  High-speed startup learning environment.
• Culture:
  Fast, user-focused, and feedback-driven team.
• Ownership:
  Build core intelligence capability from the ground up.