[Hiring] Senior Machine Learning Manager @Atlassian

Role Description

This role involves leading a cross-functional initiative focused on delivering end-to-end GenAI products.

• 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 including ML engineers, backend/frontend engineers, and applied scientists.
• Foster a culture of E2E ownership — empowering the team to move from prototype to production quickly and iteratively.
• Mentor individuals to grow in both technical depth and product acumen.
• Drive Strategy and Execution
• 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

• 8+ years in ML, search, or backend engineering roles, with 3+ years leading teams.
• Strong track record of shipping ML-powered or LLM-integrated user-facing products.
• Experience with RAG systems (vector search, hybrid retrieval, LLM orchestration).
• Deep experience in either modeling (e.g., LLMs, search, NLP) or engineering (e.g., backend infra, full-stack), with the ability to lead end-to-end.
• Deep understanding of LLM ecosystems (OpenAI, Claude, Mistral, OSS), orchestration frameworks (LangChain, LlamaIndex), and vector databases (Weaviate, Pinecone, FAISS, etc.).
• Strong product intuition and ability to translate complex tech into valuable user features.
• Familiarity with GenAI evaluation methods: hallucination detection, groundedness scoring, and human-in-the-loop feedback loops.
• Master’s or PhD in Computer Science, Machine Learning, or related field preferred—or equivalent practical experience.

Requirements

• Experience with front-end or full-stack development for GenAI interfaces.
• Familiarity with knowledge graphs, semantic embeddings, or search evaluation metrics (e.g., NDCG, precision@k).
• Passion for AI safety, ethics, and user trust in generative systems.

Compensation

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. The baseline of our range is higher than that of the typical market range. Base pay within the range is determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones:

• Zone A: $232,200 - $303,150
• Zone B: $209,700 - $273,775
• Zone C: $193,500 - $252,625

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

Benefits

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.

Company Description

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.

• We believe that the unique contributions of all Atlassians create our success.
• We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
• All your information will be kept confidential according to EEO guidelines.