Atlassian - Mountain View, CA

posted about 1 month ago

Full-time - Senior
Mountain View, CA
Publishing Industries

About the position

Atlassian is seeking a Senior Engineering Manager to join the Teamwork Graph team, responsible for leading a talented group of engineers focused on building and deploying a knowledge graph that enhances how teams collaborate. This graph is integral to various Atlassian products, enabling them to work together more effectively. The role involves close collaboration with the Teamwork Platform leadership team to define and execute a vision and strategy for data architecture, indexing, and APIs, leveraging AI models where applicable. The manager will also work with federated product teams and other central organizations to ensure deep integration of the Teamwork knowledge across products like Jira, Confluence, and future offerings. The knowledge graph will play a crucial role in powering Atlassian Intelligence and AI-driven products. In this position, you will be responsible for processing and structuring large amounts of graph data to power applications across Atlassian. You will design robust APIs and mentor your team members on best practices, code quality, design patterns, testing, debugging, and documentation. Additionally, you will be tasked with hiring, onboarding, and retaining top talent while fostering a culture of innovation, collaboration, and excellence within your team. Effective communication with internal and external partners is essential, as you will present technical concepts and results clearly and concisely, soliciting feedback and input from various stakeholders. The role also emphasizes the creative use of generative AI and machine learning to process, structure, and reason over large datasets, ultimately powering intelligent products.

Responsibilities

  • Process and structure large amounts of graph data to power applications across Atlassian
  • Design and develop robust APIs
  • Mentor and coach team members on best practices, code quality, design patterns, testing, debugging, and documentation
  • Hire, onboard, and retain top talent for the team
  • Foster a culture of innovation, collaboration, and excellence
  • Communicate effectively with internal and external partners
  • Present technical concepts and results clearly and concisely
  • Solicit feedback and input from various stakeholders
  • Utilize generative AI and ML creatively to process and structure large amounts of data

Requirements

  • 5+ years of experience managing engineering teams running core services at scale
  • Experience building and scaling business applications and systems using large amounts of data
  • Ability to communicate and explain data science concepts to diverse audiences
  • Experience crafting compelling stories around data science
  • Build generalizable platforms with a focus on empowering applications in product
  • Agile development mindset, appreciating the benefits of iteration and improvement
  • Experience working with LLMs and RAG is a bonus

Nice-to-haves

  • Experience with generative AI and machine learning
  • Familiarity with data architecture and indexing strategies

Benefits

  • Health coverage
  • Paid volunteer days
  • Wellness resources
  • Equitable compensation programs
  • Bonuses, commissions, and equity opportunities
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