Job description

Working at Atlassian Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. As a Principal Software Engineer in the Confluence AI group, you will lead the development of high-quality AI experiences that help teams create, discover, and collaborate on knowledge. You will shape technical strategy across the full stack, applying advances in AI to improve product quality, deepen user trust, and drive sustained adoption and growth. Working closely with product, design, engineering, analytics, and machine learning teams, you will turn emerging technologies into reliable, intuitive capabilities that deliver lasting customer value. Technical Leadership & Execution • Drive complex technical decisions that shape the direction of Confluence AI across teams and multiple quarters • Lead the largest and most complex initiatives from architecture and prototyping through launch and iteration • Set technical direction across user experiences, backend services, and AI integrations, balancing delivery speed, quality, and long-term maintainability • Design scalable, resilient systems that meet performance, reliability, security, and cost requirements AI Quality & Innovation • Apply advances in generative AI, retrieval, agents, and evaluation to improve the usefulness, accuracy, and consistency of Confluence AI experiences • Build quality into the full product lifecycle through automated evaluations, representative test datasets, user feedback, and production monitoring • Prototype and assess emerging technologies, adopting approaches that demonstrate measurable improvements in customer outcomes • Partner with machine learning and platform teams to improve grounding, context retrieval, orchestration, and safeguards • Establish continuous improvement processes that connect production insights to engineering priorities Product Adoption & Sustained Growth • Build intuitive full stack experiences that make AI capabilities easy to discover, understand, and incorporate into everyday workflows • Partner with product, design, and analytics to identify barriers to adoption and translate insights into targeted improvements • Define and track measures of AI quality, activation, repeat usage, retention, and customer value • Use experimentation to understand how improvements in quality and usability contribute to sustained growth • Prioritize experiences that earn user trust and deliver recurring value across Confluence Cross-Functional Collaboration • Collaborate closely with product managers, designers, engineers, and data scientists to deliver cohesive AI experiences • Lead initiatives across Confluence and Atlassian, aligning shared capabilities with product needs • Communicate technical strategy, tradeoffs, and results clearly to technical and non-technical stakeholders • Bridge gaps across frontend, backend, AI infrastructure, and analytics to ensure end-to-end ownership of customer outcomes Mentorship & Organizational Impact • Mentor engineers across levels, strengthening full stack engineering, AI integration, and experimentation practices • Raise engineering standards through technical guidance, design reviews, and hands-on contributions • Develop reusable capabilities and practices that help teams deliver high-quality AI experiences more effectively • Share learning across the organization and build a culture of curiosity, accountability, and continuous improvement Decision Making & Direction • Make informed decisions by balancing customer impact, technical feasibility, delivery speed, risk, and cost • Reduce ambiguity through focused prototypes, experiments, and measurable success criteria • Connect individual capabilities to a coherent Confluence AI strategy and broader Atlassian platform direction • Anticipate evolving customer needs and technology shifts, guiding investments that support durable product quality and growth Benefits & Perks Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits . 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. To learn more about our culture and hiring process, visit go.atlassian.com/crh . In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes. At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range. 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. This role may also be eligible for benefits, bonuses, commissions, and equity.

Requirements

Must-haves

Working at Atlassian
Technical Leadership & Execution
Drive complex technical decisions that shape the direction of Confluence AI across teams and multiple quarters
Lead the largest and most complex initiatives from architecture and prototyping through launch and iteration
Set technical direction across user experiences, backend services, and AI integrations, balancing delivery speed, quality, and long-term maintainability
Design scalable, resilient systems that meet performance, reliability, security, and cost requirements
AI Quality & Innovation
Apply advances in generative AI, retrieval, agents, and evaluation to improve the usefulness, accuracy, and consistency of Confluence AI experiences
Build quality into the full product lifecycle through automated evaluations, representative test datasets, user feedback, and production monitoring
Prototype and assess emerging technologies, adopting approaches that demonstrate measurable improvements in customer outcomes
Partner with machine learning and platform teams to improve grounding, context retrieval, orchestration, and safeguards
Establish continuous improvement processes that connect production insights to engineering priorities
Product Adoption & Sustained Growth
Build intuitive full stack experiences that make AI capabilities easy to discover, understand, and incorporate into everyday workflows
Partner with product, design, and analytics to identify barriers to adoption and translate insights into targeted improvements
Define and track measures of AI quality, activation, repeat usage, retention, and customer value
Use experimentation to understand how improvements in quality and usability contribute to sustained growth
Prioritize experiences that earn user trust and deliver recurring value across Confluence
Cross-Functional Collaboration
Collaborate closely with product managers, designers, engineers, and data scientists to deliver cohesive AI experiences
Lead initiatives across Confluence and Atlassian, aligning shared capabilities with product needs
Communicate technical strategy, tradeoffs, and results clearly to technical and non-technical stakeholders
Bridge gaps across frontend, backend, AI infrastructure, and analytics to ensure end-to-end ownership of customer outcomes
Mentorship & Organizational Impact

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learninggo

Platform: atlassian
Effort: medium