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The Role
Lead technical strategy and development of Confluence AI experiences across frontend, backend, and AI integrations. Design scalable systems, apply generative AI, retrieval, agents, evaluation, and safeguards, and improve product quality, adoption, trust, and customer value. Drive complex initiatives from architecture through launch, partner cross-functionally, mentor engineers, establish quality practices, and guide experimentation and continuous improvement across Atlassian.
Summary Generated by Built In
Engineering | Canada, Canada | Remote, Remote | San Francisco, United States | Seattle, United States | Mountain View, United States or Remote
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
AI Quality & Innovation
Product Adoption & Sustained Growth
Cross-Functional Collaboration
Mentorship & Organizational Impact
Decision Making & Direction
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
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
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
What the Team is Saying
Tiffany
Engineering Senior Associate, United States
Gautam
Software Engineer, United States
Tygrr
Product Manager, United States
Ashleigh
Frontend Engineer, United States
Jensen
Senior Frontend Software Engineer, United States
Javier
Senior Solutions Engineer, United States
Atlassian Compensation & Benefits Highlights
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Parental & Family Support — Parental leave spans 26 weeks for birthing parents and 20 weeks for non-birthing parents, alongside inclusive family-formation benefits such as fertility treatment, adoption, and surrogacy. Additional supports include menopause resources and caregiving-related programs.
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Retirement Support — Retirement programs include a U.S. 401(k) company match with immediate vesting and multiple contribution options. These are complemented by other financial wellbeing tools like HSAs/FSAs.
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Healthcare Strength — Medical coverage is paired with mental-health resources, disability and life insurance, and options such as HSA/FSA. Descriptions also point to solid plan choices with access to counseling, coaching, and 24/7 support.
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The Company
What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
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Employees work remotely.
Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.
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