• Conduct due diligence on early-stage crypto projects across sectors and architectures • Assess businesses end-to-end including team, market, product, business model, and tokenomics • Build investment memos, market maps, and competitive analyses • Develop and refine views on emerging verticals and technologies • Generate deal flow through proactive outreach, community engagement, and ecosystem presence • Build relationships with founders, builders, and other investors • Screen inbound opportunities and manage pipeline tracking • Represent the firm at events, hackathons, and conferences • Monitor portfolio company progress against milestones and market developments • Prepare portfolio updates and performance reports • Support portfolio companies with research, introductions, and strategic input • Track sector trends and contribute to the firm's evolving investment theses • Publish blog posts and knowledge nuggets (Medium, Twitter) • Represent the firm in public-facing research and ecosystem conversations

• Work on the development, maintenance, and support of management tools, assisting with the organization, analysis, and visualization of data related to academic, operational, and regulatory processes; • Responsible for structuring databases, automating routines, updating indicators, documenting business rules, supporting visual management (management dashboards), and ensuring the traceability of information used to monitor critical processes and other areas linked to the sustainable delivery of academic offerings.

• Handle analysis of partner companies' requests regarding candidate screening and selection processes; • Provide inbound and outbound support to companies to gather requirements, communicate status updates, and refer candidates; • Conduct recruitment and selection of candidates for internship opportunities at partner companies.

• Monitor academic quality processes and the production of digital learning materials. • Review content and instructional materials to ensure quality standards. • Collaborate with pedagogical, academic, and educational technology teams. • Monitor metrics and prepare reports to support decision-making. • Use Artificial Intelligence and automation to optimize processes. • Propose continuous improvements to quality and the learning experience.