Senior Machine Learning Engineering Manager, Gen AI

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Working at Atlassian

Atlassians can choose where they work — whether in an office, from home, or a combination of the two. This flexibility gives Atlassians more control over supporting their families, personal goals, and other priorities. We are open to hiring people in any country where we have a legal entity.

Overview

At Atlassian, we’re on a mission to unleash the potential of every team. As part of that mission, we’re investing deeply in GenAI products —intelligent, conversational systems that combine retrieval‑augmented generation (RAG), entity / user understanding, semantic search, and agentic interactions to redefine how users discover and interact with information across our ecosystem.

Senior Machine Learning Manager (M60)

We’re seeking a Senior Machine Learning Manager to lead a cross‑functional initiative focused on delivering end‑to‑end GenAI products . This is a rare opportunity to drive innovation at the intersection of modeling, engineering, and product thinking—turning state‑of‑the‑art LLM capabilities into intuitive, high‑value user experiences.

Responsibilities

• Own end‑to‑end GenAI product development : lead the vision, design, and execution of LLM‑powered AI products, leveraging advanced AI modeling (e.g., SLM post‑training / fine‑tuning), RAG architectures, and hybrid ranking systems.
• Define system architecture across retrievers, rankers, orchestration layers, prompt templates, and feedback mechanisms.
• Work closely with product and design teams to ensure delightful, fast, and grounded user experiences.
• Lead and grow a high‑performing team : build and manage a cross‑disciplinary team of ML engineers, backend / frontend engineers, and applied scientists.
• Foster a culture of end‑to‑end ownership—empowering the team to move from prototype to production quickly and iteratively.
• Mentor individuals to grow in technical depth and product acumen.
• Shape the technical roadmap and long‑term strategy for GenAI search across Atlassian’s product suite.
• Partner with platform and infra teams to scale inference, evaluate performance, and integrate usage signals for continuous improvement.
• Champion data quality, grounding, and responsible AI practices in all deployed features.

Qualifications

Nice to Have

Skills

Education

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. For the United States, the current base pay ranges for new hires in each zone are :

This role may also be eligible for benefits, bonuses, commissions, and equity.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family, and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com / perksandbenefits .

About Atlassian

At Atlassian, we’re motivated by a common goal : to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together. We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

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