Senior Engineering Manager
at Atlassian
Austin, United States | Remote, Remote | San Francisco, United States | Seattle, United States | New York, United States, senior, 5+ years
seen 33d ago
- Cloud infrastructure
- Azure
- MCP tooling
- AI/ML
- Distributed systems
- GCP
- LLMs
- AI agents
- CI/CD
- RAG
- AWS
About the role
Engineering | Austin, United States | Remote, Remote | San Francisco, United States | Seattle, United States | New York, United States
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Working at Atlassian
Atlassians 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.
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.
People Leadership & Team Health
* Lead and develop talent: Manage, mentor, and coach a team of engineers, supporting their individual career growth, skill development, and progression.
* Build a high-performing culture: Foster an inclusive, collaborative, and psychologically safe environment where continuous learning, feedback, and high standards thrive.
* Team composition & hiring: Partner with Talent Acquisition to attract, interview, and hire diverse engineering talent while maintaining balanced team capacity.
* Monitor team health: Proactively track and support team well-being, engagement, and operational sustainability.
Delivery & Outcome Ownership
* Own team outcomes: Drive execution across multiple top-of--the-funnel workstreams, ensuring the team delivers measurable customer and business value with speed and consistency.
* Prioritization & trade-offs: Make pragmatic delivery trade-offs between feature development, technical debt, reliability, and security.
* Process & workflow optimization: Establish and refine agile practices to streamline execution, remove blockers, and improve developer velocity.
Technical Leadership & Architecture
* Technical direction: 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.
* Engineering excellence: Champion best practices across design reviews, automated testing, CI/CD, documentation, code quality, and the effective use of AI.
Read from atlassian.com, last seen 5d ago.