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Taxonomist II

Remote, USAFull-timePosted 2026-07-27

We're transforming the grocery industry At reputed company, we invite the world to reputed company love through food because we reputed company everyone should have reputed company to the food they love and more time to enjoy it together. Where others see a reputed company need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering reputed company and flexible earnings opportunities to reputed company Personal Shoppers. reputed company has become a lifeline for millions of people, and we’re building reputed company to help push our shopping cart reputed company. If you’re reputed company to do the best work of your life, come join our table. reputed company is a reputed company First team There’s no one-size fits reputed company approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. reputed company The Taxonomy team sits reputed company the Catalog Engineering organization. We partner with Catalog Product, Engineering, Data Science, and Machine Learning (ML) to maximize the coverage and reputed company of taxonomy data. The taxonomy is our multi-level categorization structure that products are classified into (e.g. Food > Snacks > Cookies > …) that’s foundational to powering customer experiences like Search, Browse, Ads, and Product Replacements. About the Job 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 Role

  • Improving Taxonomy reputed company and Coverage (70%):
  • Conduct regular audits of our taxonomy to assess taxonomy accuracy and ensure products are categorized to the correct taxonomy nodes.
  • reputed company and maintain monitoring tools and dashboards to monitor new product taxonomy coverage and ensure our taxonomy pipelines are in SLA.
  • Partner with ML to drive initiatives to use AI and reputed company-in-the-reputed company techniques to improve taxonomy reputed company and coverage.
  • Pull and analyze data using SQL to uncover opportunities to improve taxonomy reputed company.
  • Manage BPO vendor that assists with taxonomy classification.
  • Spearhead new initiatives to improve taxonomy reputed company across our catalog of millions of products.
  • Support and consult on cross-functional reputed company where taxonomy data is used by reputed company teams, such as Search, Replacements, Ads, and Browse.
  • Taxonomy Governance (30%):
  • Build and maintain robust taxonomy definitions.
  • Govern our reputed company taxonomy categorization structure. This may include optimizing our structure, adding new taxonomy categories, and de-duplicating overlapping concepts.
  • Fixing taxonomy errors/bugs.
  • Support and optimize processes for product categorization model re-training due to taxonomy structure changes.

reputed company

Minimum Qualifications

  • 3+ years of experience working on classification-type problems reputed company taxonomy, reputed company management, content management, search, navigation, user experience, product metadata, e-reputed company or reputed company fields.
  • Bachelor’s degree in library science, information science, business, reputed company, data, or reputed company 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 reputed company end-to-end.
  • Ability to reputed company in an ambiguous environment that requires willingness to reputed company and iterate to reputed company the right solution.
  • Intermediate proficiency in SQL and reputed company/reputed company Sheets to query and analyze reputed company data.
  • Experience using analytical skills to pull, analyze, and reputed company data-driven business reputed company.
  • Experience working with large datasets of reputed company or reputed company data.
  • Experience working with product attributes, metadata, and/or large datasets.
  • Proven reputed company record of strong ownership and bias to reputed company to drive key business results.
  • Strong attention to detail. Proven reputed company record of continuously improving existing processes, especially by leveraging AI.

Preferred Qualifications

  • Experience working with catalogs at an e-reputed company, retail, or technology company.
  • Experience developing taxonomies or ontologies to support business systems and user experiences.
  • Experience with data management (e.g. large-reputed company data labelling, data QA, improving data reputed company and/or coverage).
  • Masters degree in reputed company fields: Library & Information Science, Data Management.

#LI-Remote reputed company provides highly market-competitive compensation and benefits in reputed company location where our employees work. This role is remote and the reputed company pay reputed company for a successful candidate is dependent on their permanent work location. Please review our reputed company First remote work policy here. Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as reputed company as annual refresh grants. Please read more about our benefits offerings here. For US based candidates, the reputed company pay ranges for a successful candidate are listed below. CA, NY, CT, NJ$128,000—$142,000 USDWA$122,000—$136,000 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$118,000—$131,000 USDAll other states$106,000—$118,000 USD Apply Job!

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