IDC Research Inc.

Technical Product Lead - AI IP Protection and Security

US$250,000-$320,000Posted 27 days ago

Job Description

Overview: About the Role & Team

You will be the primary architect of our Digital Asset Rights & Revenue Assurance (DARRA) strategy. You are responsible for ensuring that our high-value intellectual property is shielded from unauthorized exploitation by generative AI models and rogue scrapers, while simultaneously ensuring seamless access for legitimate, authenticated partners.

What You’ll Do

Architect the Defense

Define the roadmap for the Agent-Aware Firewall, creating a dynamic system that identifies, classifies, and manages non-human traffic in real-time.

The Adjudicator

Lead the development of our automated entitlements engine, ensuring that every request for content is met with the precise level of access granted by our commercial agreements.

Strategic Counter-Intelligence

Monitor the evolving landscape of AI "Dark Arts"—from bypass techniques to unauthorized LLM training and develop technical countermeasures to stay two steps ahead.

Cross-Functional Leadership

Partner with Engineering, Legal, and Sales to align our technical defenses with our commercial goals, ensuring that supports revenue growth rather than just acting as a gatekeeper.

Execution

Drive product clarity through PR/FAQs and 6-pagers. You will own the metrics for "Deflection Rate," "Entitlement Accuracy," and "Revenue Leakage Prevention."

What You Bring

* Bachelors Degree in Computer Science or another Quantitative Discipline * Significant, demonstrated experience in Technical Product Management. Ad Tech, Cybersecurity, or DRM background is a plus. * Deep AI Fluency: You can talk the talk with AI engineers — walking through evaluation criteria, real risks like data exfiltration, and what goes into an agentic system, even if you haven't built one yourself. You track what's happening in the AI industry day to day (new model releases, regulatory rulings) and can speak to how they reshape technical requirements like content w

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