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About the Role
This is an opportunity to join a high-impact Growth team and learn how world-class experimentation works at scale. We’re the Spark team — we light the fire for customer acquisition. We innovate, personalize, and run experiments on top-of-funnel Atlassian surfaces, and build AEO/SEO features that help millions discover and sign up for Atlassian products.
Responsibilities
- Manage, mentor, and coach a team of engineers, supporting their individual career growth, skill development, and progression.
- Foster an inclusive, collaborative, and psychologically safe environment where continuous learning, feedback, and high standards thrive.
- Partner with Talent Acquisition to attract, interview, and hire diverse engineering talent while maintaining balanced team capacity.
- Proactively track and support team well-being, engagement, and operational sustainability.
- Drive execution across multiple top-of--the-funnel workstreams, ensuring the team delivers measurable customer and business value with speed and consistency.
- Make pragmatic delivery trade-offs between feature development, technical debt, reliability, and security.
- Establish and refine agile practices to streamline execution, remove blockers, and improve developer velocity.
- Deeply understand the team’s architecture, systems, and dependencies to guide the medium-to-long-term technical strategy.
- Establish AEO methodologies that measure, influence, and simulate AEO Engines.
- Champion best practices across design reviews, automated testing, CI/CD, documentation, code quality, and the effective use of AI.
- Partner with senior engineers to guide architectural decisions that ensure scalability, modularity, and maintainability.
Requirements
- 5+ years of experience managing software engineering teams.
- 2+ years of experience managing other engineering managers or leading teams of senior/principal engineers.
- Strong foundational background in distributed systems, developer platforms, cloud infrastructure (AWS/GCP/Azure), or developer tooling.
- Experience with applied AI/ML systems, LLMs, AI agents, MCP tooling, RAG, or AI evaluation frameworks.
- Demonstrated experience partnering with product managers, TPMs, and designers to shape product and platform strategy.
Skills
- Applied AI/ML systems
- LLMs
- AI agents
- MCP tooling
- RAG
- AI evaluation frameworks
- Distributed systems
- Developer platforms
- Cloud infrastructure (AWS/GCP/Azure)
- Developer tooling
Location
- Any country where Atlassian has a legal entity
Work Type
- Office
- Home
- Combination of office and home
Experience Level
- 5+ years of experience managing software engineering teams
- 2+ years of experience managing other engineering managers or leading teams of senior/principal engineers
Education Level
- Bachelor's or Master's degree (preferably a Computer Science degree or equivalent practical experience)
Salary/Compensations
- Zone A: $209,700 - $273,775
- Zone B: $188,730 - $246,398
- Zone C: $174,051 - $227,233
Benefits
- Health and wellbeing resources
- Paid volunteer days
About the Company
- 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.
Equal Opportunity
- 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.
- 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.