Associate Product Manager — AI / Product Catalog bei Overstock

We Go Beyond:

At Beyond, we believe that everyone should “Be You!”. Beyond is a community that upholds a culture of understanding, acceptance, and respect. We believe a person’s individuality, traits, beliefs, and characteristics should be valued and embraced. Living by this ethos is essential to the success of our business. Our goal is to foster a more inclusive environment where every employee visibly demonstrates inclusive behaviors and respect for individuals.

Company: Bed Bath & Beyond (Beyond, Inc.)

About the role
Own the intelligence behind our product catalog—taxonomy, attributes, and relationships—and partner with AI/ML teams to improve findability, relevance, and content quality. You’ll combine AI product thinking with library science, ontology/semantic design, and strong data fundamentals to make our catalog cleaner, smarter, and easier to shop.

What you’ll do

• Translate business goals and catalog pain points into PRDs, user stories, and lightweight roadmaps spanning taxonomy, attributes, enrichment, and AI-powered quality checks.
• Act as product owner for the catalog intelligence team: prioritize the product backlog; write user stories with acceptance criteria; uphold Definition of Ready/Done.
• Run Agile ceremonies: lead backlog refinement, sprint planning, daily standups, demos/reviews, and retros; track velocity and unblock dependencies with Eng/Data/Scrum Master.
• Ontology & taxonomy stewardship: wok closely with the taxonomists to define and evolve category trees, attribute schemas, controlled vocabularies, synonym/alias dictionaries, and variant/option models; set governance rules.
• Knowledge graph & semantic design: partner with data science/development to model entities (brands, products, categories, attributes, media), relationships, and constraints; inform relevance/ranking signals and downstream personalization.
• Data quality & catalog health: specify automated checks for attribute completeness, consistency, and policy compliance; design workflows for deduplication, entity resolution, canonicalization, and enrichment.
• AI-enabled catalog features: scope LLM/ML use cases (attribute extraction, title normalization, image/content quality, similarity/variant grouping, RAG for content); set guardrails and evaluation plans.
• Measurement & analytics: define KPIs (coverage, accuracy, error rates, search CTR, reformulation rate, zero-result rate, conversion impact); build dashboards and run analyses using SQL, GA4, and BigQuery.
• Release & change management: coordinate feature flags, canary rollouts, data migrations, and communication to internal teams/partners; maintain clear decision logs and documentation.
• Cross-functional collaboration: work with Merchandising, Compliance/Legal, Partner Operations, and Search/Discovery to ensure taxonomy and attribute changes land smoothly across experiences.

What you’ll bring

• Bachelor’s/Master’s in Computer Science, Data Science, Library & Information Science (MLIS), Information Architecture, or a related field (or equivalent experience).
• Very strong data skills and data-structure knowledge
• Proficiency with SQL, GA4, and BigQuery to analyze funnels, diagnose catalog issues, and quantify impact.
• Clear communicator who can turn qualitative feedback and quantitative findings into crisp requirements and acceptance criteria.

Nice to have

• Strong understanding of taxonomy design, ontology/semantic modeling, and knowledge graphs(concepts like entities/relations, hierarchies, facets, constraints).
• SEO and recent AEO
• Exposure to GS1/GTIN, schema.org/Product, product taxonomy standards, and governance workflows.
• Experience with knowledge-graph or graph DB tooling (e.g., Neo4j, Amazon Neptune) or graph query languages (e.g., Cypher, SPARQL).
• Familiarity with vector search/embeddings, RAG patterns, and evaluation methods for extraction/classification (precision/recall, coverage, latency SLOs).
• Hands-on with experimentation/feature flags, and documentation tools (Confluence/Notion)

Who We Are:

We’re a passionate group of collaborative problem solvers and creative innovators, working on cutting-edge technology. From building award-winning retail applications (with amazing AR functionality) to creating leading blockchain and machine learning technologies, each of us embodies a unique value and contributes a diverse perspective to the team.

What We Offer:  

• 401k (6% match)

• Flexible Schedules

• Tuition Reimbursement, Leadership Development Program, & Mentorship Program

• Employee Resource Groups (LatinX, Black Employee Network, LGBTQIA+, Women’s Network, Women In Tech)

• And More…

*Benefits vary based on position, tenure, location, and employee election

Physical Requirements:

This position requires you to sit, stand and perform general office functions. You may also be required to lift up to 25 pounds occasionally. Bending, stooping and reaching are also frequently required.

Equal Employment Opportunity:

It is our policy to provide equal employment opportunity for all applicants and associates.  This policy includes our commitment to ensure that all employment decisions are made without regard to race, color, religion, gender, national origin, disability, pregnancy, veteran status (including Vietnam era veterans), age, sexual orientation, gender identity, or any other non-job-related characteristic protected by law.

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