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As a Principal Machine Learning Systems Engineer, you will lead the development and implementation of machine learning systems and solutions to enhance team collaboration and productivity across Atlassian's software products.

Build a cross-platform endpoint agent to detect and attribute AI-generated code at the line level, design pipelines to capture/classify/store developer and agent activity, work with Git internals, integrate with coding agents, and ensure reliable, invisible production deployments across macOS, Linux, and Windows.

Partner with Enterprise Account Executives to prospect and build pipeline for large customers. Set meetings, hit quota, and convert opportunities through value-driven outreach (email, social, video, calls). Collaborate with sales, marketing, partners, and operations while using Salesforce (SFDC), Gong, Outreach, and LinkedIn Navigator to understand customer needs and deliver a delightful experience.

Sell Atlassian ServiceCollection to mid-market customers by owning the full sales cycle, building relationships, developing pipeline, meeting quota, and collaborating with internal teams to drive customer success and adoption.

Design, build, and operate scalable, low-latency search and retrieval systems powering Atlassian products. Develop and serve production ML models (neural rankers, embeddings, rerankers) using PyTorch and Triton. Implement vector indexing and RAG/agentic retrieval pipelines, ensure observability and cost optimization, manage on-call/runbooks, and collaborate cross-functionally while mentoring junior engineers.

Set technical vision and build AI foundations used across Atlassian: prototype and write code, build scalable AI infrastructure, measure AI effectiveness, provide context and cost-efficient compute, partner with product teams, and mentor senior engineers.

Lead technical revenue accounting for Atlassian, advising on ASC 606, partnering with GTM, Sales, Product, and Engineering to scale order-to-cash processes, manage RevPro data/configuration, improve controls, support audits, and automate revenue recognition workflows.

Lead technical strategy for government opportunities, build relationships with agency executives, and provide solutions for secure collaboration and compliance. Mentor and guide pre-sales team, while focusing on public sector technology decisions and modernization risk reduction.

The Account Executive, Strategic will develop and implement strategic sales plans, build relationships with C-level executives, and lead a sales team to maximize opportunities and customer success.

Design and implement the System of Work for Atlassian's enterprise customers, focusing on AI adoption, change management, and architectural design. Lead transformation across business functions with a focus on collaboration.