Senior Machine Learning Manager

Posted 4 Hours Ago
Be an Early Applicant
Hiring Remotely in Seattle, WA, USA
In-Office or Remote
174K-274K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Atlassian provides tools to help every team unleash their full potential.
The Role
Lead and grow a high-performing ML team to design and deliver end-to-end AI features for DevAI products. Drive LLM integration, prompt engineering, technical strategy, project delivery, stakeholder alignment, and process optimization while mentoring engineers and managing performance.
Summary Generated by Built In
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.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
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.
This role may also be eligible for benefits, bonuses, commissions, and equity.
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: $209,700 - $273,775
Zone B: $188,730 - $246,398
Zone C: $174,051 - $227,233
  • 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.

Skills Required

  • Bachelor's or Master's degree in Computer Science or equivalent experience
  • 10+ years of industry experience in the data science domain
  • 5+ years of direct people management experience
  • 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
  • Agile development mindset with iterative delivery experience
  • Experience working in consumer or B2C SaaS or enterprise/B2B product contexts
  • Experience developing deep learning-based models and working on LLM-related applications
  • Proven ability to solve ambiguous, complex problems and navigate uncertainty

What the Team is Saying

Tiffany
Gautam
Tygrr
Ashleigh
Jensen
Javier

Atlassian Compensation & Benefits Highlights

  • Parental & Family Support Parental leave is described as generous for both birthing and non‑birthing parents, with inclusive family‑formation coverage spanning fertility, adoption, and surrogacy. Additional caregiving resources such as breastmilk shipping and neurodiverse family support reinforce a family‑first approach.
  • Healthcare Strength Health coverage is characterized as comprehensive, pairing major medical plans with extensive mental‑health services. Benefits also include support for abortion travel, transgender care, and complex mental‑health needs.
  • Leave & Time Off Breadth Time off is framed as flexible, with ample PTO, multiple leave programs, and five paid volunteer days annually. Sabbaticals and donation matching add further headroom for rest and purpose.

Atlassian Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
11,000 Employees
Year Founded: 2012

What We Do

Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.

Why Work With Us

At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Atlassian Teams

Team
Product + Tech
Team
Data Science
About our Teams

Atlassian Offices

Remote Workspace

Employees work remotely.

Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.

Typical time on-site: None
HQSan Francisco, CA
Australia
Japan
Canada
Netherlands
Amsterdam, NL
Austin, TX
Austin, TX
Bellevue, WA
India
Boston, Massachusetts
Boston, MA
Chicago, IL
Poland
Mountain View, CA
Company Office Image
New York, NY
Australia
Learn more

Similar Jobs

Atlassian Logo Atlassian

Senior Machine Learning System Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
Seattle, WA, USA
11000 Employees
149K-235K Annually

Atlassian Logo Atlassian

Software Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
Seattle, WA, USA
11000 Employees
125K-196K Annually

Atlassian Logo Atlassian

Software Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
Seattle, WA, USA
11000 Employees
125K-196K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account