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Atlassian is looking for a Head of Engineering to lead product AI feature development, quality, personalization, and growth within the Central AI organization. The role involves leading efforts to ensure the development and deployment of high-quality, reliable, and impactful personalized AI solutions across Atlassian's products and platforms.
Job Responsibility:
Define and execute the engineering strategy for Product AI quality, ensuring alignment with Atlassian's AI vision and product roadmap
Lead and mentor a team of engineers, fostering a culture of innovation, collaboration, and technical excellence
Collaborate with cross-functional teams, including product managers, data scientists, and designers, to integrate personalized AI solutions into Atlassian's ecosystem
Oversee the development of frameworks and tools to evaluate and ensure the quality, fairness, and reliability of personalized AI models and systems
Drive the adoption of best practices in AI quality assurance, including rigorous testing, monitoring, and validation processes
Ensure the scalability, security, and ethical deployment of personalized AI technologies
Partner with product and engineering teams across geographies to integrate quality-focused AI solutions into Atlassian's suite of products
Act as a thought leader within the organization, advocating for responsible AI practices and continuous improvement in AI quality
Represent the Central AI team in external forums, showcasing Atlassian's commitment to AI quality and innovation
Requirements:
Over 8 years of experience in building and scaling engineering teams, specializing in Artificial Intelligence or Machine Learning domains
Extensive experience leading engineering teams, including managing managers of managers, and efficiently running organizations with 30+ engineers across multiple geographies
A track record of delivering high-quality AI solutions in a product-driven organization
Deep expertise in AI/ML technologies, particularly in quality assurance, testing, and validation
Previous experience collaborating with Engineering, Product Management, and Platform teams
Exceptional communication and leadership skills, capable of inspiring and guiding teams effectively
Strong problem-solving abilities and adaptability to thrive in fast-paced, collaborative environments
Demonstrated ability to manage complex projects and foster cross-functional collaboration
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Nice to have:
Strong product sense with the ability to understand product drivers and align technical initiatives with customer and business outcomes
Proven track record of building influential relationships and trust with senior leaders across various departments
Experience with multi-modal LLMs and/or domain-specific fine-tuning
Familiarity with responsible AI principles and practices
Knowledge of cloud-based ML platforms (e.g., AWS, GCP, Azure)
Ph.D. or Master’s degree in Artificial Intelligence, Machine Learning, or a related field
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