
Atlassian is Hiring - Senior Machine Learning Manager
Job Description
Atlassian’s journey began with Jira, a tool designed to help developers track bugs and manage their work. Over the years, Atlassian has expanded its suite of productivity tools, yet developers remain at the heart of our focus. We are revitalizing our product lineup to better serve this core audience. Atlassian's ecosystem uniquely positions us to enhance every step of the developers’ productivity cycle. With DevAI now established, we continue to evolve our AI-native SDLC solution, deeply integrating AI to redefine developer experiences. Our products include code reviewers, code generation, agentic engineering, spec-driven development, and more. Our vision is to transform software development, and we have ambitious plans to achieve this.
What You’ll Do
As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Your responsibilities will include (but not limited to) LLM integration, prompt engineering, and developing end-to-end AI features using cutting-edge technologies. You will collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company. Together, we are committed to delivering Atlassian’s world-class developer AI products that will shape the future of software development.
Responsibilities
- Strategic Leadership: Define and execute the long-term AI/ML strategy, ensuring alignment with product and business goals.
- Team Building & Talent Development: Recruit, coach, and develop a high-performing team of engineers and scientists, fostering an inclusive and innovative culture.
- Stakeholder Management: Partner with cross-functional leadership (product, engineering, data science) to drive product vision and execution.
- Performance Management: Oversee team performance, providing coaching, feedback, and career growth opportunities for direct reports.
- Technical Leadership & Mentoring: Provide technical guidance and mentorship to engineering teams, ensuring high standards of code quality and technical excellence.
- Project Oversight: Oversee the end-to-end lifecycle of key AI/ML initiatives, ensuring timely delivery and high-quality standards.
- Resource Allocation: Balance team bandwidth across competing priorities, ensuring optimal resource distribution for high-impact projects.
- Process Optimization: Establish and refine engineering processes to improve team velocity, code quality, and deployment standards.
- Risk Management: Proactively identify technical and operational risks, implementing mitigation strategies to maintain team momentum.
Required Skills
Benefits
- Private medical plan
- Life insurance
- PPK Pension
- Service awards
- Employee referral program
- Family formation
- Business travel support
Salary
USD 210k - 274k
Expertise
Senior
Location
Seattle, United States
Job Type
Remote
Date
9/30/2026
Experience
7 - 10 years
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