Senior Engineering Manager

Atlassian•Austin, TX

9d•$174,051 - $273,775•Hybrid

About The Position

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.

Requirements

5+ years of experience managing software engineering teams.
2+ years of experience managing other engineering managers or leading teams of senior/principal engineers.
Bachelor's or Master's degree (preferably a Computer Science degree or equivalent practical experience).
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.

Responsibilities

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.
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 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.
System resilience: Partner with senior engineers to guide architectural decisions that ensure scalability, modularity, and maintainability.