Senior Machine Learning Systems Engineering Manager - AI & ML Platform
Remote - India - Remote; Remote - Remote; Bengaluru - India - Bengaluru, 560071 India
Atlassian
Atlassian's team collaboration software like Jira, Confluence and Trello help teams organize, discuss, and complete shared work.Overview
Working at Atlassian
Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
About AI & ML Platform Team
The AI & ML platform team builds and runs the infrastructure that underpins dozens of Atlassian's AI, Machine Learning & Search capabilities across our wide range of products. Our mission is to democratise AI & Machine Learning for Atlassian’s teams, customers and ecosystem. We do this by creating foundational infrastructure and tools that are user-friendly and reliable - accelerating the development, deployment, measurement, and operation of AI & ML experiences. Our team owns infrastructure such as the platform we use to run advanced generative LLMs & other models, the GPU accelerated model serving platform teams across Atlassian use to deploy their own models, the data access and training infrastructure we are using to develop our next generation of in house AI, the feature stores we use to run personalised recommendations in production, and many other capabilities. We work very closely with our stakeholders - the product & search teams - to help navigate the rapidly evolving space and helping deliver Atlassian Intelligence features to customers.
We are rapidly expanding, and have teams across Australia, India & the US, and sit within the Central AI organisation along side Search & Conversational AI teams.
Responsibilities
You will work closely with our leadership group of the AI & ML Platform team, technical program managers, stakeholders & architects to influence the direction of the platform and plan the steps to get there - in the rapidly changing AI domain. You will be responsible for building effective teams, empowering them to achieve their goals, and putting those goals into a broader context. Your greatest responsibility will be looking after the individuals reporting to you – coaching and supporting them in their professional development, unlocking their potential, and challenging them to step outside their comfort zone to grow and excel. As a hands-on engineering leader, you will also contribute to the engineering and operational practices and bring in a continuous improvement mindset. As the AI space is evolving quickly - as a team close to the technology there is a great opportunity for thought leadership and helping influence the rest of the company on how they can use our platform best.
Qualifications
On their first day, we'll expect
Significant technical experience with building large-scale backend software / platforms
Experience leading, supporting & growing large development teams
Familiarity with agile software development methodologies
Ability to drive high technical standards, pushing innovation, quality, and operational excellence
Driving clarity from requirements and providing direction in ambiguous environments
Strong execution focus and proven track record of complex software delivery to production environments
It's great if you have
Experience in AI & ML or Data
Experience in defining a strategic roadmap for products and platforms
Experience with distributed development teams across multiple geographies
Continuous delivery with a strong bias for action
Your background
5+ years of software development management experience, managing team of 5 plus engineers
Demonstrated experience partnering with product managers and cross-functional stakeholders to create the course of a platform
Knowledge of Agile software development methodologies (e.g., XP, scrum)
Demonstrated experience mentoring and growing high performing engineering teams
Contributed in the past to the technical strategy of the team
Our perks & benefits
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Conversational AI Engineering Excel GPU LLMs Machine Learning Scrum
Perks/benefits: Career development Health care
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