Senior Machine Learning Systems Engineering Manager - AI & ML Platform

About the role

The AI & ML platform team builds and runs the infrastructure behind Atlassian's AI, machine learning and search capabilities across its products, including generative LLM platforms, GPU-accelerated model serving, data access and training infrastructure, and feature stores. This senior manager role works closely with the team's leadership, technical program managers, stakeholders and architects to shape the platform's direction, build and coach effective teams, and contribute to engineering and operational practices.

Key responsibilities

• Influence the direction of the platform and plan the steps to get there in a rapidly changing AI domain
• Build effective teams, empower them to achieve their goals and place them in a broader context
• Coach and support individuals reporting to you, unlocking their potential and challenging them to grow
• Contribute to engineering and operational practices with a continuous improvement mindset
• Use your position to share thought leadership and influence how the wider company uses the platform

Required profile

• 5+ years of software development management experience, managing a team of 5+ engineers
• Demonstrated experience partnering with product managers and cross-functional stakeholders to define a platform's course
• Proven track record of mentoring and growing high-performing engineering teams
• Contributed in the past to the team's technical strategy

Required skills

• Significant technical experience building large-scale backend software and platforms
• Experience leading, supporting and growing large development teams
• Familiarity with agile software development methodologies (e.g. Scrum, XP)
• Ability to drive high technical standards, push innovation and quality, and deliver complex software to production
• Ability to drive clarity from requirements and give direction in ambiguous environments

Nice to have: experience in AI & ML or data, experience defining a strategic roadmap for products and platforms, experience with distributed teams across geographies, and a continuous delivery mindset. The role is listed as remote, and Atlassians can choose where they work.