Search Relevance Product Manager - eCommerce

Responsibilities Own search relevance strategy, including ranking signals and query understanding Define and evolve ranking policies (availability, price, popularity, fitment, recency) Lead improvements in query handling (synonyms, typo correction, rewriting) Run a zero-results reduction program with effective fallbacks Establish quality gates (offline evaluation + A/B testing) for all releases Design and evaluate experiments to drive measurable improvements Build and maintain a gold standard evaluation dataset ("truth set") Prioritize and deliver a relevance roadmap across key query types Work closely with Engineering and Data Science to define features, signals, and evaluation criteria Requirements Business Analysis: Knowledge of business analysis and the set of tasks, techniques and tools required to identify business needs; ability to recommend solutions that deliver value to stakeholders. Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Software Change Request Management: Knowledge of software change request management; ability to manage software product change requests from customers, prospective customers, vendors, and internal staff. Software Engineering: Knowledge of software engineering; ability to deliver new or enhanced fee-based software products. Software Product Business Knowledge: Knowledge of and experience with the business aspects and operation of a software product; ability to manage install base, current uses, future plans, and product vision. User Acceptance Testing (UAT): Knowledge of UAT activities, tasks, tools and techniques; ability to design, implement and evaluate acceptance tests for end-users. Consideration for top candidates: Experience with search platforms (e.g., Elasticsearch, Solr, vector or hybrid search) Experience with LLM-powered search or query understanding, including semantic search, embeddings, or retrieval augmented generation Experience with eCommerce search behavior (e.g., part number, fitment, attribute-driven queries) Digital product management, user experience, user research, digital strategy, or related function Experience managing projects using Product Management and/or Agile software tools such as Aha, Product Board, Azure DevOps Human-centered design, lean innovation, or design thinking methodologies Product Owner certification (Certified Scrum Product Owner from Scrum Alliance) Knowledge of Software Development Lifecycle (SDLC) and demonstrated experience employing SDLC in aspects of the project management process Improved View email address on click.appcast.io and MRR (ranking quality) Reduced zero-results rate Fewer manual fixes (boosts, one-off rules) over time 5–7 years of product management experience in search, recommendations, or data-driven products Hands‑on experience designing and interpreting A/B tests and experiments Strong understanding of ranking, relevance, or information retrieval concepts Ability to define and use metrics and evaluation frameworks (e.g., NDCG, MRR, CTR) Experience working closely with Data Science or ML teams Proven ability to lead complex, cross‑functional initiatives Strong analytical thinking and communication skills #J-18808-Ljbffr Jobtailor