We are looking for a Senior Product Manager to lead our Search Retrieval team. You’ll partner with a dedicated cross-functional team including product, engineering, applied science, analytics, and research. You’ll develop and deliver a customer-centric product strategy that ensures we deliver the best and relevant search experience for our buyers. Are you motivated by building products that align with broader business strategies, especially when tackling complex problems like optimizing retrieval models to balance relevance and engagement in listings? How do you approach improving listing retrieval to ensure that surfaced results meet both business goals and user intent? If so, this could be the perfect match. Search Retrieval is a machine learning team under Search Relevance sub-initiative that strives to improve relevancy of search results for Etsy buyers across the globe. We apply the latest techniques from machine learning, natural language processing (NLP), and information retrieval research at Etsy’s scale. Here is a taste of some of the problems we are solving: Use hybrid, lexical, and neural retrieval models to improve search relevance while also considering cross-border trades, nuances on different markets and query understanding. Power Etsy’s Visual Search experience and meet buyer experience through improvements in multi-modal embeddings. Work closely with ML engineers, backend engineers, scientists, and product managers to develop & test large scale experiments to improve relevance. Ensure ML models meet buyer standards, latency SLAs at the scale of Etsy production traffic and launch live A/B experiments to test our hypotheses.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees