VP, Business Development & Technology

Key Responsibilities

• Identify and prioritize new patent pool opportunities in high-growth technology sectors, including AI, memory, data center, and connectivity.
• Develop and execute business cases for new licensing programs, including market sizing, stakeholder mapping, and revenue modeling.
• Lead outreach to prospective licensors (patent owners) and strategic partners to build program participation and alignment.
• Structure and negotiate framework terms for new pools in collaboration with legal and executive leadership.

Technology Strategy & Analysis

• Evaluate emerging technologies and standards to determine “pool-worthiness,” including fragmentation of patent ownership, licensing inefficiencies, and industry adoption.
• Oversee technical diligence processes, including patent landscape analysis and coordination with external experts.
• Translate complex technical concepts into commercially actionable licensing strategies.
• Stay ahead of trends in AI (including LLMs), semiconductor architectures (e.g., HBM vs. DDR), and data center systems.

Industry Engagement & Thought Leadership

• Represent Via Licensing at industry conferences, standards bodies, and executive forums.
• Build and maintain relationships with leading technology companies, patent holders, and ecosystem players.
• Position Via as a thought leader in collaborative licensing, including AI-assisted licensing models and next-generation pool structures.

Cross-Functional Leadership

• Partner closely with licensing, legal, finance, and operations teams to ensure seamless transition from program concept to launch.
• Support ongoing programs by providing strategic input on market evolution and expansion opportunities.
• Collaborate with AI/data teams to integrate advanced tools into patent evaluation, portfolio analysis, and royalty allocation processes.

Strategic Planning

• Contribute to Via’s overall strategic roadmap, including expansion into new verticals and innovation in licensing models.
• Evaluate competitive landscape, including alternative licensing platforms and bilateral licensing strategies.
• Drive long-term growth initiatives aligned with industry shifts toward AI-driven infrastructure and compute-intensive applications.