Teams at Atlassian

Principal Machine Learning Engineer responsible for setting technical direction and building production-grade AI systems for Confluence. The role spans model evaluation, retrieval, ranking, prompt and workflow design, experimentation, reliability, and customer-facing AI product development. Responsibilities include making architectural decisions, partnering across engineering and product teams, mentoring engineers, identifying model and product failure modes, and delivering scalable AI experiences across content creation, editing, discovery, recommendations, and multimodal interaction.

Develop and scale digital and agentic customer success programs that improve product adoption and retention. Coordinate messaging across email, in-app, community, learning, AI agents, and human channels. Partner with Product, Data Science, Marketing, and Customer Success to use product signals, optimize content distribution, enable expansion, and connect digital experiences with frontline teams. Lead experimentation and cross-functional change through data-backed hypotheses and continuous improvement.

Lead Advisory Services engagements for strategic and enterprise clients using Atlassian solutions. Serve as the primary client contact, manage scope, resources, projects, and programs, accelerate time to value, monitor outcomes, and identify expansion opportunities. Build long-term client relationships, communicate value, and collaborate with internal Atlassian teams to deliver solutions. Travel domestically and internationally up to 30% of the time.