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Senior Engineering Manager

Job in Seattle, King County, Washington, 98127, USA
Listing for: Atlassian
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Software Engineer, DevOps, Cloud Engineer - Software, Software Project Mgr/ Lead
Salary/Wage Range or Industry Benchmark: 190000 - 260000 USD Yearly USD 190000.00 260000.00 YEAR
Job Description & How to Apply Below
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.

Overview

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.

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.

Responsibilities About the role

This is an opportunity to join a high-impact Growth team and learn how world-class experimentation works ’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 work streams, 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.
  • System resilience:
    Partner with senior engineers to guide architectural decisions that ensure scalability, modularity, and maintainability.
Why Spark?
  • Meaningful Impact Early:
    Your code ships to real users on Atlassian's acquisition surfaces from your first quarter
  • Learning and

    Collaboration:

    We partner with our teams and products to deliver the best personalized outcomes for our customers
  • A culture of measurement:
    We don't guess. We test, instrument, analyze, and decide based on data. Our metrics tie directly to the customer and the business.
Your background:
  • 5+ years of experience managing software engineering teams.
  • 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…
Position Requirements
10+ Years work experience
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