
Senior Product Manager – Data Science, Search Relevance
Posted 1 hour ago

Posted 1 hour ago
This is a fully remote position, open to applicants in New York.
• Develop and implement a long-term product vision and strategy for search relevance.
• Collaborate closely with data science, engineering, and digital teams to establish requirements, prioritize projects, and achieve measurable business outcomes.
• Convert intricate data science and search-related concepts into clear value propositions for the business and its athletes.
• Set KPIs to evaluate the realization of value and the impact of search data science capabilities.
• Define and track metrics to enhance search relevance and model performance continuously.
• Work alongside analytics and optimization teams to design and carry out A/B testing across digital platforms.
• Take ownership of prioritization and trade-offs among search relevance models, experimentation strategies, and platform investments.
• Over 7 years of experience in product management.
• At least 4 years dedicated to developing machine learning data products for search.
• Demonstrated success in creating data solutions at an enterprise level.
• In-depth knowledge of search engines (e.g., Elasticsearch, Solr, or similar) and e-commerce APIs.
• Strong understanding of e-commerce analytics and customer behavior metrics.
• Comprehensive knowledge of e-commerce A/B testing methodologies to facilitate learning and iterative development.
• Solid technical expertise and capability to discuss the development of data science models, data architecture, and integration with search APIs.
• Proficiency in defining and measuring product KPIs that correlate with business results.
• Familiarity with Agile/Scrum methodologies and product management tools (Jira, Confluence, Aha!, Miro).
• Exceptional ability to articulate complex technical concepts into executive-level narratives and business value propositions.
• Strong facilitation, relationship-building, and collaboration skills to ensure alignment among organizational peers and stakeholder groups.
• Experience in writing user stories, managing backlogs, and leading Agile ceremonies.
• Competitive total rewards package that may include additional elements such as incentives, equity, and benefits.
• Comprehensive suite of benefits.
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