Head of AI
Sei Labs
Responsibilities
- Develop and expand Sei’s AI vertical by driving ecosystem growth in areas like machine learning, generative AI, predicative analysis, AI infrastructure etc. —creating use cases that leverage Sei’s high-performance blockchain infrastructure.
- Establish and nurture partnerships with leading AI research labs, technology firms, academic institutions, and industry pioneers to expand Sei’s presence and influence in AI-driven applications.
- Identify and attract institutional partners, including prominent AI organizations and innovative web2 companies, to drive adoption of AI solutions powered by Sei’s blockchain.
- Lead business development initiatives to secure cutting-edge projects that utilize Sei for decentralized machine learning, AI-driven data privacy, and secure AI infrastructure.
- Work cross-functionally with Sei’s technical teams to identify and support the unique blockchain requirements of AI applications, ensuring Sei’s infrastructure is optimized for the AI ecosystem.
- Collaborate with other vertical heads and the broader business development team to align strategies and capitalize on synergies across Sei’s diverse application ecosystem.
Qualifications
- Prior VC experience, particularly in AI or machine learning investments, OR proven experience in business development, partnerships, or strategy roles within the artificial intelligence industry; experience with web3 or blockchain technology is a strong plus.
- A comprehensive understanding of the challenges and opportunities in artificial intelligence, including decentralized machine learning, data privacy, ownership, and the ethical deployment of AI technologies.
- Proven expertise in building and managing high-value partnerships with AI research institutions, technology companies, and influential players in the AI and broader tech ecosystems.
- Entrepreneurial mindset with a demonstrated ability to drive ecosystem growth and adoption of blockchain solutions for innovative AI applications.
- Strong problem-solving skills, a collaborative approach to cross-functional teamwork, and a passion for advancing cutting-edge AI innovation through decentralized technologies.