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Home / Compensation / Atlassian / Engineering Manager
Total compensation for a Atlassian Engineering Manager ranges from about $295K at the entry level to $1.1M+ at the most senior bands, with a typical mid-level package around $560K. Below is the full breakdown by level - base salary, annual equity, and bonus - from public-source data.
Public-source estimates (Beta). Last updated 2026-06. Figures are annualized USD.
| Level | Years | Base (p50) | Equity/yr (p50) | Bonus (p50) | Total (p25-p90) |
|---|---|---|---|---|---|
| M3Engineering Manager | 6-10 YOE | $212K | $110K | $29K | $295K - $500K |
| M4Senior Engineering Manager | 9-14 YOE | $238K | $170K | $36K | $370K - $645K |
| M5Director of Engineering | 12+ YOE | $262K | $250K | $48K | $460K - $840K |
| M6Senior Director of Engineering | 14+ YOE | $288K | $355K | $65K | $575K - $1.1M |
First-line manager. Calibration tracks P4-P5.
Manages managers or a large product area. Calibration tracks P5.
Org leader across multiple teams. Bonus target steps up to ~20%.
Division-scale scope. External hires uncommon.
Atlassian manager levels (M3-M6) parallel the P-track. Comp tracks IC counterparts closely with a slightly higher bonus target (15% manager, ~20% director+). Remote-first geo bands apply to managers too.
7 rounds. 6 of them can be practised here - each one below links the rep that trains it.
Recruiter screen
30 minutes. Background, level calibration (P50 vs P60 is the most contested call), team alignment - Atlassian recruits across product engineering (Jira, Confluence, Bitbucket, Trello, Jira Service Management, Jira Product Discovery, Compass), platform infrastructure (multi-tenancy, identity, data, observability), cloud migration (the multi-year program to move legacy on-premise customers to cloud), AI (Atlassian Intelligence, the firm's AI-features umbrella across products), and developer tooling.
Technical phone screen
60 minutes. One coding problem at Medium difficulty in your language of choice - Java, TypeScript, Python all common. Cleanliness, edge cases, and explicit narration matter as much as the algorithm. Some interviewers include a domain probe (multi-tenant reasoning, real-time collaboration) if you've been matched to a platform team.
Free rep: Coding challenges with a real sandbox →Onsite: coding round 1
60 minutes. Algorithmic problem with attention to clean implementation. Trees, graphs, hash maps, and string processing common. Atlassian weights cleanliness and explicit narration over algorithmic tricks.
Free rep: Coding challenges with a real sandbox →Onsite: coding round 2
60 minutes. Often more applied - debug a working snippet, extend an existing system, implement a small piece of product-engineering functionality. For platform-team candidates, may involve multi-tenant reasoning or real-time collaboration patterns.
Free rep: Coding challenges with a real sandbox →Onsite: system design
60-75 minutes. Enterprise SaaS flavored. Common prompts: design multi-tenant data isolation for Jira at the scale of small teams through 100K+-seat enterprises on the same platform, design real-time collaboration for Confluence documents, design the marketplace ecosystem for third-party integrations, design the cloud migration architecture for moving legacy on-premise customers. Depth on tenant isolation, scaling, and the specific tradeoffs of enterprise SaaS expected.
Free rep: Design walkthrough: Design a Distributed Cache (Memcached / Redis Cluster) →Onsite: values interview
60 minutes. Atlassian's five values (Open company no bullshit, Build with heart and balance, Don't #@!% the customer, Play as a team, Be the change you seek) are explicit evaluation rubrics. Structured behavioral with stories tied to each value. The round is rigorous - vague stories or 'I'm a team player' answers score poorly. Prepare 2-3 specific incidents tied to each value before the loop.
Free rep: STAR answers: Customer Obsession (Amazon Leadership Principle) →Onsite: hiring manager / role fit
45-60 minutes. Role and team fit, motivation for the specific team, and additional behavioral signal. Atlassian's distributed-by-default work model means hiring managers screen for candidates who can operate well in remote/hybrid environments.
Free rep: STAR answers: Ownership (Amazon Leadership Principle) →The full Atlassian prep pack → what they value, topic emphasis, and the questions candidates ask.
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