Responsibilities

Manage and maintain Electric Capital's existing taxonomy for classifying and categorizing various crypto projects, protocols, technologies, and concepts.
Continuously monitor and research the crypto ecosystem to identify new trends, verticals, or emerging technologies that should be incorporated into our taxonomy.
Collaborate with our analysts, researchers, and data engineers to ensure that our taxonomy accurately captures the nuances and complexities of the crypto space.
Develop and document clear guidelines, rules, and best practices for applying and maintaining the taxonomy consistently across our data sources and analysis.
Work closely with our labeling, analyst and engineering teams to ensure accurate application of the taxonomy and provide guidance on edge cases or ambiguities.
Identify and address inconsistencies, redundancies, or gaps within the existing taxonomy, and propose solutions for improvement.
Conduct regular audits and quality checks to maintain the integrity and accuracy of the taxonomy.
Provide training, support and education material to labeling teams.

Requirements

3+ years of experience in taxonomy and/or ontology development, management, or a related role, preferably within a complex or rapidly evolving domain.
In-depth knowledge and understanding of taxonomy design principles, information architecture, and knowledge organization systems.
Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make sound judgments.
Excellent communication and collaboration skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
Attention to detail and a commitment to maintaining data quality and consistency.
Passion for staying up-to-date with emerging trends and developments in the crypto space.
Familiarity with data labeling, data entry, and knowledge management processes.

Interest and/or experience with cryptocurrency and blockchain technologies (DeFi, NFT, L1s, L2s)
Experience working with SQL and/or Python.