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As a Senior Product Manager, you will play a critical role in shaping the future of AI-driven knowledge systems at Atlassian. Your work will focus on building scalable, innovative solutions that enhance personalization, improve user engagement, and drive adoption across our suite of products. You will collaborate with cross-functional teams to deliver impactful AI-powered features that solve complex problems and elevate the user experience.
Job Responsibility:
Define and execute the product vision and roadmap for AI knowledge systems, aligning with organizational goals and user needs
partner with engineering teams to integrate AI adoption goals into the roadmap, ensuring alignment with technical capabilities and business objectives
lead initiatives to build and enhance foundational knowledge systems, such as knowledge graphs and data stores, to power downstream products like search, chat, and agent experiences
drive improvements in query understanding and recommendation systems across search, chat, and feed scenarios
leverage insights from collaborative graphs and data analytics to enhance personalization and context-aware capabilities
partner with teams to develop shared knowledge components that improve user engagement and satisfaction
drive initiatives to enhance the scalability, reliability, and performance of knowledge systems, focusing on caching, alias expansion, and model training pipelines
identify opportunities for third-party integrations to expand the capabilities of knowledge systems
manage key user experiences, such as search and query fulfillment, to showcase knowledge improvements and drive user satisfaction
monitor and evaluate the success of AI-driven features using data-driven metrics and user feedback.
Requirements:
6+ years of product management experience, with a focus on AI, machine learning, or knowledge systems
some experience in ads, feeds, search or recommendation products
proven track record of delivering impactful AI-driven features and managing cross-functional teams
strong understanding of AI technologies, including knowledge graphs, recommendation engines, and machine learning models
familiarity with data pipelines, model training, and system scalability
ability to translate complex challenges into actionable strategies and deliver measurable results
strong analytical skills with a metrics-driven approach to decision-making
excellent communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders
experience influencing without authority and leading cross-functional initiatives
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field. Advanced degrees (e.g., PhD) are a plus.
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