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Staff Product Manager (Search Algorithms)

Faire · San Francisco, United States

External listingfull-time5 days ago

About The Role

Join Faire, a fast-growing tech startup, as a Staff Product Manager for Search Algorithms. In this role, you will own the product development of our search algorithms, refine key search query segments, and evaluate technical solutions. You will work with world-class leaders across various fields and make decisions alongside company founders and the CEO. This position offers comprehensive healthcare, paid time off, parental leave, productivity support, an annual learning grant, thoughtfully designed office spaces, fitness and well-being benefits, mental health benefits, charitable matching, and career planning opportunities.

  • Développer et exécuter une stratégie pour améliorer les algorithmes de recherche.
  • Affiner la segmentation des requêtes de recherche et identifier des opportunités d'amélioration.
  • Collaborer avec des leaders de divers domaines pour prendre des décisions éclairées.
  • You have 7+ years of experience in a product or technical role at a high-growth tech startup. Bonus if you have experience working on search algorithms
  • You are passionate. You are optimistic with a positive energy that other people draw upon
  • Bachelor’s degree or equivalent experience
  • You’re an extraordinarily fast learner. You have the natural curiosity and intellectual horsepower to deeply understand new topics and pick up new skills in a very short time
  • You have experience building high-scale products through state-of-the-art engineering and data science
  • You regularly use ML/AI to solve business problems and are well-versed with recent advancements in the field
  • You care deeply about developing products and solutions that will create the best experience for our customers
  • You are a creative problem-solver. You excel at identifying unintuitive solutions to tough problems
  • You are relentlessly resourceful. When something needs to get done, you always find a way to make it happen. Even when the work is hard, you power through it and execute with limited information and ambiguity

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