Senior Machine Learning Engineering Manager

Company: Atlassian
Location: Mountain View
Posted on: November 9, 2024

Job Description:

Overview: Working at AtlassianAtlassians 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. Responsibilities: We are looking for a senior ML engineering manager to join the Teamwork Graph team and lead a group of talented engineers who are responsible for helping build and deploy the knowledge graph of how teams work together. The graph is the foundational data layer Teamwork Graph logically representing all of a customer's data, with edges/relationships to connect entities across feature and product boundaries. The Graph powers various new AI products such as Rovo, as well as enables Atlassian products to work better together. Checkout this clip from the recent founder keynote for more details. You will work closely with the Teamwork Graph leadership team to define and execute the vision and strategy for advanced graph querying and powering a quite of Graph + AI powered applications and experiences. You will also collaborate with the federated product teams and other central orgs to integrate the Teamwork knowledge deeply in various products such as Search, Jira, Confluence, and many upcoming ones. Responsibilities:

• Process and structure large amounts of graph data to power applications across Atlassian
  • Mentor and coach your team members on best practices, code quality, design patterns, testing, debugging, and documentation.
    • Hire, onboard, and retain top talent for your team and foster a culture of innovation, collaboration, and excellence.
      • Communicate effectively with internal and external partners, present technical concepts and results clearly and concisely, and solicit feedback and input from various stakeholders.
      • Creative use of generative AI and ML to process, structure, and reason over large amounts of data to power intelligent productsExperience:
        • 5+ years of experience managing engineering teams running core AI/ML services at scale
          • Experience building and scaling business applications and systems using large amounts of data
            • Ability to communicate and explain complex technica; concepts to diverse audiences, craft a compelling story
              • Build generalizable platforms with a keen eye on empowering applications in product
                • Solid understanding of foundational ML concepts and Graphs
                • Experience working with LLM based applications or other ML powered products Qualifications: CompensationAt Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. 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: $229,300 - $305,700Zone B: $206,300 - $275,100Zone C: $190,300 - $253,700This role may also be eligible for benefits, bonuses, commissions, and equity.Please visit 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.Our perks & benefitsAtlassian 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 to learn more.About AtlassianAt 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 .

Keywords: Atlassian, Tracy , Senior Machine Learning Engineering Manager, Engineering , Mountain View, California