Staff Product Manager - Search Algorithms

Faire
San Francisco, CA$216k – $297kPosted 24 February 2026

Job Description

About Faire Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role The Discovery pillar’s core mission is to make it easy and delightful for retailers to find brands and products their customers will love. This role will own product development of our algorithms powering search, the largest discovery surface by order volume. What you’ll do Develop and execute on a strategy that takes our search algorithms to the next level Refine our breakdown of key search query segments, identify novel opportunities for improvements, and diagnose root causes for today’s failure modes Refine our suite of offline and online metrics to help us better understand the retailer’s search experience and the performance of each component of our search system Evaluate tradeoffs between technical solutions across velocity, scale, cost, and modularity Work with and learn from a broad range of world-class leaders across engineering, product management, data science, design, and operations Make decisions alongside company founders and the CEO Empower small businesses around the world to chase their dreams and invest in their local communities Qualifications Bachelor’s degree or equivalent experience. You have 7+ years of experience in product at a high-growth tech startup or as a startup founder with experience working on complex Search systems 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’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 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. You are a creative problem-solver. You excel at identifying unintuitive solutions to tough problems. You are passionate. You are optimistic with a positive energy that other people draw upon. You care deeply about developing products and solutions that will create the best experience for our customers. Salary Range San Francisco, CA: The pay range for this role is $215,500 - 296,500 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors, including transferable skills, work experience, market demand, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why ... (truncated, view full listing at source)
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