Define the product vision, strategy, and roadmap for AI-powered search and retrieval capabilities. Partner with engineering and machine learning teams to improve how information is represented, discovered, and ranked. Drive investments that improve search quality, relevance, accuracy, and user satisfaction. Establish success metrics and evaluation frameworks to measure product effectiveness. Lead experimentation efforts and use data-driven insights to inform product decisions. Balance customer value, performance, scalability, and operational costs when making product tradeoffs. Collaborate across product, engineering, design, and research teams to deliver end-to-end customer experiences. Communicate product strategy, priorities, and outcomes to stakeholders across the organization. Bachelor's Degree AND 8+ years experience in product/service/program management or software development. OR equivalent experience. 2 years' experience working on information retrieval, search relevance, or ranking systems. 5 years' experience building AI-powered products or platforms. 2 years' experience in working on fine-tuning projects. Demonstrated experience in product management, software engineering or data science. Solid analytical skills and ability to use data to drive decisions. Excellent communication and stakeholder management skills. Ability to thrive in ambiguous and fast-moving environments. Familiarity with information retrieval, search relevance, ranking systems, or recommendation technologies. Experience partnering closely with machine learning and applied science teams. Knowledge of experimentation methodologies, evaluation frameworks, and product analytics.
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