Head of Engineering, Product AI ID - 13920
Job Description
Atlassian is a global leader in team collaboration and productivity software, empowering teams to unleash their potential and achieve remarkable results. Our suite of tools, including Jira, Confluence, Trello, Bitbucket, and Rovo, is trusted by millions of users worldwide to plan, track, and manage their work effectively. At Atlassian, we are dedicated to building innovative tools and technologies that drive the future of work.
We are looking for a Head of Engineering to lead product AI feature development, quality, personalization, and growth within the Central AI organization.
What you’ll do
As the Head of Engineering, Product AI within the Central AI organization, you will lead efforts to ensure the development and deployment of high-quality, reliable, and impactful personalized AI solutions across Atlassian's products and platforms. You will oversee the engineering department, driving the development and delivery of cutting-edge technology solutions while ensuring alignment with the company's strategic objectives and product roadmap. Your role is critical in driving innovation, maintaining AI quality standards, and fostering collaboration across teams to deliver transformative AI experiences.
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $303,200 - $400,000
Zone B: $272,900 - $363,800
Zone C: $251,700 - $335,500
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Responsibilities
Your role and impact
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Define and execute the engineering strategy for Product AI quality, ensuring alignment with Atlassian's AI vision and product roadmap.
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Lead and mentor a team of engineers, fostering a culture of innovation, collaboration, and technical excellence.
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Collaborate with cross-functional teams, including product managers, data scientists, and designers, to integrate personalized AI solutions into Atlassian's ecosystem.
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Oversee the development of frameworks and tools to evaluate and ensure the quality, fairness, and reliability of personalized AI models and systems.
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Drive the adoption of best practices in AI quality assurance, including rigorous testing, monitoring, and validation processes.
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Ensure the scalability, security, and ethical deployment of personalized AI technologies.
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Partner with product and engineering teams across geographies to integrate quality-focused AI solutions into Atlassian's suite of products.
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Act as a thought leader within the organization, advocating for responsible AI practices and continuous improvement in AI quality.
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Represent the Central AI team in external forums, showcasing Atlassian's commitment to AI quality and innovation.
Qualifications
On the first day, we'll expect you to have:
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Over 8 years of experience in building and scaling engineering teams, specializing in Artificial Intelligence or Machine Learning domains.
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Extensive experience leading engineering teams, including managing managers of managers, and efficiently running organizations with 30+ engineers across multiple geographies.
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A track record of delivering high-quality AI solutions in a product-driven organization.
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Deep expertise in AI/ML technologies, particularly in quality assurance, testing, and validation.
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Previous experience collaborating with Engineering, Product Management, and Platform teams.
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Exceptional communication and leadership skills, capable of inspiring and guiding teams effectively.
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Strong problem-solving abilities and adaptability to thrive in fast-paced, collaborative environments.
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Demonstrated ability to manage complex projects and foster cross-functional collaboration.
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Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
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It's great, but not required, if you have:
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Strong product sense with the ability to understand product drivers and align technical initiatives with customer and business outcomes.
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Proven track record of building influential relationships and trust with senior leaders across various departments.
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Experience with multi-modal LLMs and/or domain-specific fine-tuning.
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Familiarity with responsible AI principles and practices.
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Knowledge of cloud-based ML platforms (e.g., AWS, GCP, Azure).
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Ph.D. or Master’s degree in Artificial Intelligence, Machine Learning, or a related field.
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.a