Senior Machine Learning Manager

Atlassian
Seattle
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 10+ yearsEducation: bachelorsSkills: ["Leadership","Mentoring","People management","Stakeholder management","Communication","Risk management","Process improvement","Agile mindset","Performance management"]

Lead long-term AI/ML strategy for DevAI products and drive end-to-end delivery of high-impact initiatives. You’ll recruit, coach, and develop a high-performing team of engineers and scientists, partner with product, engineering, and data science stakeholders, and manage performance and engineering excellence. Oversee program lifecycle, optimize processes to improve velocity and deployment standards, and proactively identify and mitigate technical and operational risks while integrating LLMs and prompt engineering into AI-native developer experiences.

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FursaFursa
Atlassian
Atlassian
1 month ago

Senior Machine Learning Manager

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead long-term AI/ML strategy for DevAI products and drive end-to-end delivery of high-impact initiatives. You’ll recruit, coach, and develop a high-performing team of engineers and scientists, partner with product, engineering, and data science stakeholders, and manage performance and engineering excellence. Oversee program lifecycle, optimize processes to improve velocity and deployment standards, and proactively identify and mitigate technical and operational risks while integrating LLMs and prompt engineering into AI-native developer experiences.
Location: Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Define and execute long-term AI/ML strategy aligned with product and business goals.
  • •Recruit, coach, and develop a high-performing team of engineers and scientists.
  • •Partner with cross-functional leadership (product, engineering, data science) to drive product vision and execution.
  • •Oversee end-to-end lifecycle of key AI/ML initiatives, ensuring timely delivery and quality.
  • •Oversee performance management, resource allocation, process optimization, and risk mitigation for technical and operational execution.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health Insurance

Key Requirements

  • •Bachelor’s or Master’s degree (preferably Computer Science) or equivalent experience.
  • •10+ years of data science domain experience, including 5+ years of direct people management.
  • •Proven track record building, mentoring, and scaling high-performing machine learning teams.
  • •Experience building and scaling machine learning models in business applications using large amounts of data.
  • •Ability to communicate and explain data science concepts to diverse audiences and craft compelling stories.
Experience:10+ yearsData scienceMachine learningSaaSB2CB2BDeep learningLLM
Education:Bachelor's in Computer Science
Skills:LeadershipMentoringPeople managementStakeholder managementCommunicationRisk managementProcess improvementAgile mindsetPerformance management
Tech Stack:AIMachine LearningLLMDeep learning

Company Brief

Atlassian
Atlassian develops collaboration and workflow software—Jira, Confluence, Trello, Loom and more—used by teams for project management, software development, and IT service management across enterprises worldwide.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sydney, Australia
Founded: 2002
Glassdoor
Glassdoor: 3.1
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