Atlassian · 11 hours ago
Senior Machine Learning Engineering Manager, Gen AI
Seattle, WA
Full-time
Hybrid
Senior Level, Lead/Staff
$232K/yr - $303K/yr
8+ years expAtlassian is a company dedicated to unleashing the potential of every team, investing deeply in GenAI products that enhance user interaction with information. They are seeking a Senior Machine Learning Engineering Manager to lead the development of LLM-powered AI products, driving innovation and managing a high-performing cross-disciplinary team.
CollaborationEnterprise SoftwareSaaSSoftware
Responsibilities
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
Qualification
Required
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
Preferred
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
Benefits
Health and wellbeing resources
Paid volunteer days
Company
Atlassian
Atlassian is a software company that offers proprietary software products for teamwork, project management, and software development.
10001+ employees
H1B Sponsorship
Atlassian has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (351)
2024 (184)
2023 (190)
2022 (259)
2021 (156)
2020 (162)
Funding
Current Stage
Public CompanyTotal Funding
$210MKey Investors
T. Rowe PriceAccel
2015-12-10IPO
2014-04-08Secondary Market· $150M
2010-07-14Series A· $60M
Leadership Team
Michael Cannon-Brookes
CEO and Co-Founder
Scott Farquhar
Co-Founder and Board Member
Recent News
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2025-12-26
2025-12-21
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