Senior Machine Learning Engineering Manager, Gen AI

Working at Atlassian
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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.
We're seeking a Senior Machine Learning Manager (M60) 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.
Own End-to-End GenAI Product Development

• Lead the vision, design, and execution of LLM-powered AI products, leveraging advance AI modeling (e.g. SLM post-training/fine-tuning), RAG architectures and hybrid ranking system.
• 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.

What We're Looking For
Experience

• 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.

Skills

• 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.

Education

• Master's or PhD in Computer Science, Machine Learning, or related field preferred-or equivalent practical experience.

Nice to Have

• 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. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
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.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
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, or 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.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .