Product Manager, Search and AI Quality

AtlassianSan Francisco, CA
98d$142,200 - $185,650

About The Position

As a 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.

Requirements

  • 3+ 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.
  • 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 preferred.

Responsibilities

  • 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.
  • Monitor and evaluate the success of AI-driven features using data-driven metrics and user feedback.
  • 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 entity 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 engineering, data science, product, and design teams to identify opportunities and implement improvements in AI quality.
  • Identify opportunities for third-party integrations to expand the capabilities of knowledge systems.
  • Develop deep customer insights to pinpoint gaps in quality, proactively addressing issues to enhance user satisfaction and engagement.
  • Regularly interact with users and internal stakeholders to validate quality enhancements and prioritize feature improvements.
  • Create compelling narratives and communicate progress effectively to customers, stakeholders, and the broader community, highlighting Atlassian’s advancements in search relevance and quality.

Benefits

  • Health and wellbeing resources
  • Paid volunteer days
  • Bonuses
  • Commissions
  • Equity
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