Atlassian

Senior Machine Learning Manager

Atlassian$174K — $273K *
US-AnywhereRemote in Seattle, WA
Consumer Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science or equivalent experience.
  • 10+ years of industry experience in data science with 5+ years in people management.
  • Proven track record in building and scaling high-performing machine learning teams.
  • Experience with machine learning models in business applications using large datasets.
  • Strong communication skills to convey complex data science concepts clearly.

Responsibilities

  • Define and execute the AI/ML strategy in alignment with product goals.
  • Recruit, coach, and develop a high-performing engineering team.
  • Partner with cross-functional leadership to drive product vision.
  • Oversee team performance with coaching and feedback for growth.
  • Guide engineering teams with technical expertise and high coding standards.
  • Manage the end-to-end lifecycle of AI/ML initiatives for timely delivery.
  • Optimize engineering processes to enhance team efficiency and output.

Benefits

  • Health and wellbeing resources for employees and their families.
  • Paid volunteer days to engage with the community.
  • A wide range of perks designed to support overall employee engagement.
Full Job Description
Overview

Your Future Team - DevAI

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.

Responsibilities

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.

Compensation

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.

Pay Ranges

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

Qualifications

  • 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

Atlassian is a leading provider of collaboration, development, and issue tracking software for teams. With over 194,000 customers worldwide, including 85 of the Fortune 100, Atlassian is changing the way teams work. Our products help teams organize, discuss, and complete shared work. Atlassian has a unique business model that allows us to deliver software to teams of all sizes, from small startups to large enterprises. Our products are available on a subscription basis, with no upfront fees or long-term commitments. Atlassian was founded in 2002 and is headquartered in San Francisco, California.
Learn more about Atlassian
Size
6,433 employees
Market Cap
$31.9 billion
Industry
Net Income
-$1.1 billion
Founded
2002
5 Year Trend
+34.9%
Revenue
$1.8 billion
NASDAQ

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