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Senior Machine Learning Manager

at Atlassian

Back to all Data Science / AI / ML jobs
Atlassian logo
Industry not specified

Senior Machine Learning Manager

at Atlassian

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 9 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Senior Machine Learning Manager - Atlassian's DevAI** Drive AI innovation in DevAI's core intelligence solutions. Manage teams integrating Large Language Models (LLMs), refine prompts, and develop end-to-end AI features. Collaborate with diverse experts across Atlassian, spanning software engineering and data science. Over 8 years of ML experience and a demonstrated track record in ML basketweaving, intuitive system design, and AI-driven software development. Proficient in Python, TensorFlow, PyTorch, and AI toolkits. Lead strategic initiatives, mentor teams, and enhance Atlassian's developer AI suite. **Keywords:** Senior Machine Learning Manager, AI, DevAI, Large Language Models (LLMs), Prompt Engineering, End-to-End AI Features, Collaboration, Software Engineering, Data Science, Python, TensorFlow, PyTorch, ML Basketweaving, AI-driven Software Development.

Your Future Team - DevAI

Atlassian’s journey began with Jira, a tool designed to help developers track bugs and manage their work. Over the years, Atlassian has expanded its suite of productivity tools, yet developers remain at the heart of our focus. We are revitalizing our product lineup to better serve this core audience. Atlassian's ecosystem uniquely positions us to enhance every step of the developers’ productivity cycle. With DevAI now established, we continue to evolve our AI-native SDLC solution, deeply integrating AI to redefine developer experiences. Our products include code reviewers, code generation, agentic engineering, spec-driven development, and more. Our vision is to transform software development, and we have ambitious plans to achieve this.

What You’ll Do

As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Your responsibilities will include (but not limited to) LLM integration, prompt engineering, and developing end-to-end AI features using cutting-edge technologies. You will collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company. Together, we are committed to delivering Atlassian’s world-class developer AI products that will shape the future of software development.

General Responsibilities

  • Strategic Leadership: Define and execute the long-term AI/ML strategy, ensuring alignment with product and business goals.

  • Team Building & Talent Development: Recruit, coach, and develop a high-performing team of engineers and scientists, fostering an inclusive and innovative culture.

  • Stakeholder Management: Partner with cross-functional leadership (product, engineering, data science) to drive product vision and execution.

  • Performance Management: Oversee team performance, providing coaching, feedback, and career growth opportunities for direct reports.

  • Technical Leadership & Mentoring: Provide technical guidance and mentorship to engineering teams, ensuring high standards of code quality and technical excellence.

Daily Responsibilities

  • Project Oversight: Oversee the end-to-end lifecycle of key AI/ML initiatives, ensuring timely delivery and high-quality standards.

  • Resource Allocation: Balance team bandwidth across competing priorities, ensuring optimal resource distribution for high-impact projects.

  • Process Optimization: Establish and refine engineering processes to improve team velocity, code quality, and deployment standards.

  • Risk Management: Proactively identify technical and operational risks, implementing mitigation strategies to maintain team momentum.

  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)

  • 10+ years of related industry experience in the data science domain, including 5+ years of direct people management experience. You should have a proven track record of building, mentoring, and scaling high-performing machine learning teams, with deep experience in organizational strategy, performance management, and developing engineering leaders.

  • 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, craft a compelling story

  • Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have

  • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space

  • Experience in developing deep learning-based models and working on LLM-related applications

  • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.

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.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

Senior Machine Learning Manager

at Atlassian

Back to all Data Science / AI / ML jobs
Atlassian logo
Industry not specified

Senior Machine Learning Manager

at Atlassian

Tech LeadNo visa sponsorshipData Science/AI/ML

Posted 9 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

**Senior Machine Learning Manager - Atlassian's DevAI** Drive AI innovation in DevAI's core intelligence solutions. Manage teams integrating Large Language Models (LLMs), refine prompts, and develop end-to-end AI features. Collaborate with diverse experts across Atlassian, spanning software engineering and data science. Over 8 years of ML experience and a demonstrated track record in ML basketweaving, intuitive system design, and AI-driven software development. Proficient in Python, TensorFlow, PyTorch, and AI toolkits. Lead strategic initiatives, mentor teams, and enhance Atlassian's developer AI suite. **Keywords:** Senior Machine Learning Manager, AI, DevAI, Large Language Models (LLMs), Prompt Engineering, End-to-End AI Features, Collaboration, Software Engineering, Data Science, Python, TensorFlow, PyTorch, ML Basketweaving, AI-driven Software Development.

Your Future Team - DevAI

Atlassian’s journey began with Jira, a tool designed to help developers track bugs and manage their work. Over the years, Atlassian has expanded its suite of productivity tools, yet developers remain at the heart of our focus. We are revitalizing our product lineup to better serve this core audience. Atlassian's ecosystem uniquely positions us to enhance every step of the developers’ productivity cycle. With DevAI now established, we continue to evolve our AI-native SDLC solution, deeply integrating AI to redefine developer experiences. Our products include code reviewers, code generation, agentic engineering, spec-driven development, and more. Our vision is to transform software development, and we have ambitious plans to achieve this.

What You’ll Do

As part of our team, you will play a crucial role in innovating the core intelligence solutions within our DevAI products. Your responsibilities will include (but not limited to) LLM integration, prompt engineering, and developing end-to-end AI features using cutting-edge technologies. You will collaborate closely with a diverse and highly skilled group of scientists and software engineers within our team, as well as with multiple partner teams across the company. Together, we are committed to delivering Atlassian’s world-class developer AI products that will shape the future of software development.

General Responsibilities

  • Strategic Leadership: Define and execute the long-term AI/ML strategy, ensuring alignment with product and business goals.

  • Team Building & Talent Development: Recruit, coach, and develop a high-performing team of engineers and scientists, fostering an inclusive and innovative culture.

  • Stakeholder Management: Partner with cross-functional leadership (product, engineering, data science) to drive product vision and execution.

  • Performance Management: Oversee team performance, providing coaching, feedback, and career growth opportunities for direct reports.

  • Technical Leadership & Mentoring: Provide technical guidance and mentorship to engineering teams, ensuring high standards of code quality and technical excellence.

Daily Responsibilities

  • Project Oversight: Oversee the end-to-end lifecycle of key AI/ML initiatives, ensuring timely delivery and high-quality standards.

  • Resource Allocation: Balance team bandwidth across competing priorities, ensuring optimal resource distribution for high-impact projects.

  • Process Optimization: Establish and refine engineering processes to improve team velocity, code quality, and deployment standards.

  • Risk Management: Proactively identify technical and operational risks, implementing mitigation strategies to maintain team momentum.

  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience)

  • 10+ years of related industry experience in the data science domain, including 5+ years of direct people management experience. You should have a proven track record of building, mentoring, and scaling high-performing machine learning teams, with deep experience in organizational strategy, performance management, and developing engineering leaders.

  • 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, craft a compelling story

  • Agile development mindset, appreciating the benefit of constant iteration and improvement

It's great, but not required, if you have

  • Experience working in a consumer or B2C space for a SaaS product provider, or the enterprise/B2B space

  • Experience in developing deep learning-based models and working on LLM-related applications

  • Excelling in solving ambiguous and complex problems, being able to navigate through uncertain situations, breaking down complex challenges into manageable components and developing innovative solutions.

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.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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