Director of Product
Rockstar
Salary
💰 $106,000 - $142,000 per year
Job Level
Mid-LevelSenior
Tech Stack
SQL
About the role
- About the Role: As a Taxonomist, you’ll play a pivotal role in ensuring accurate product categorization, improving taxonomy structures, and scaling taxonomy solutions in partnership with ML.
- About the Team: The Taxonomy team sits within the Catalog Engineering organization and partners with Catalog Product, Engineering, Data Science, and Machine Learning to maximize the coverage and quality of taxonomy data used by Search, Browse, Ads, and Product Replacements.
- Improve Taxonomy Quality and Coverage (70%): Conduct regular audits to assess taxonomy accuracy and ensure products are categorized correctly; develop and maintain monitoring tools and dashboards; partner with ML on AI and human-in-the-loop initiatives; pull and analyze data using SQL; manage BPO vendor assisting with taxonomy classification; spearhead initiatives to improve taxonomy quality; support cross-functional projects using taxonomy data.
- Taxonomy Governance (30%): Build and maintain robust taxonomy definitions; govern complex taxonomy categorization structure including optimizing structure, adding categories, de-duplicating concepts; fix taxonomy errors/bugs and support processes for product categorization model re-training due to taxonomy structure changes.
Requirements
- 3+ years of experience working on classification-type problems within taxonomy, digital asset management, content management, search, navigation, user experience, product metadata, e-commerce or related fields.
- Bachelor’s degree in library science, information science, business, commerce, data, or related field. Experience creating LLM prompts and using AI tools to improve workflows and systems.
- Strong communication and stakeholder management skills, particularly with Product, ML, and Engineering teams. Experience leading or supporting cross-functional projects end-to-end.
- Ability to thrive in an ambiguous environment that requires willingness to innovate and iterate to find the right solution.
- Intermediate proficiency in SQL and Excel/Google Sheets to query and analyze structured data.
- Experience using analytical skills to pull, analyze, and make data-driven business decisions.
- Experience working with large datasets of structured or unstructured data.
- Experience working with product attributes, metadata, and/or large datasets.
- Proven track record of strong ownership and bias to action to drive key business results.
- Strong attention to detail.
- Proven track record of continuously improving existing processes, especially by leveraging AI.
- Preferred: Experience working with catalogs at an e-commerce, retail, or technology company.
- Preferred: Experience developing taxonomies or ontologies to support business systems and user experiences.
- Preferred: Experience with data management (e.g. large-scale data labelling, data QA, improving data quality and/or coverage).
- Preferred: Masters degree in related fields: Library & Information Science, Data Management.
