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Home / Compensation / Roblox / Engineering Manager
Total compensation for a Roblox Engineering Manager ranges from about $375K at the entry level to $1.5M+ at the most senior bands, with a typical mid-level package around $715K. 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) |
|---|---|---|---|---|---|
| EMEngineering Manager | 7-12 YOE | $247K | $210K | - | $375K - $685K |
| Sr EMSenior Engineering Manager | 10-15 YOE | $267K | $300K | - | $460K - $875K |
| DirectorDirector, Engineering | 12+ YOE | $287K | $430K | - | $570K - $1.1M |
| Sr DirectorSenior Director, Engineering | 14+ YOE | $307K | $600K | - | $710K - $1.5M |
First-line manager. Calibration tracks Principal IC.
Manages managers. Calibration tracks Senior Principal IC.
Org leader. Equity dominates; realized comp tracks RBLX.
Division-scale scope. External hires uncommon.
Roblox manager comp mirrors the IC structure: no cash bonus, equity-dominant, RBLX volatility passes straight through to realized comp. Manager calibration tracks the IC level one notch up from the team's median.
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 (Senior vs Staff is the most contested call), team alignment - Roblox recruits across the engine itself (graphics, physics, networking, scripting runtime), platform services (matchmaking, social, economy, discovery, payments, identity), creator tooling (Roblox Studio and the broader creator experience), trust and safety (content moderation, anti-fraud, the specific challenges of a young player base), AI (generative content, AI-driven moderation, AI-assisted creation), and infrastructure (data, observability, security, the specific scale of running the platform globally).
Technical phone screen
60 minutes. One coding problem at Medium-to-Hard difficulty in your language of choice. C++ for engine roles; Java, Go, or other for platform services; Python for ML and analytics. Cleanliness and explicit narration matter.
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. Engine candidates may face problems with performance flavor (memory layout, cache behavior). Platform candidates face more conventional algorithmic problems.
Free rep: Coding challenges with a real sandbox →Onsite: coding round 2
60 minutes. Often more applied - debug a working snippet, extend an existing service, implement a small piece of platform or engine logic. For trust and safety candidates, may involve adversarial reasoning or content moderation patterns.
Free rep: Coding challenges with a real sandbox →Onsite: system design
60-90 minutes. Platform-flavored. Common prompts: design matchmaking and game-server allocation at the scale of millions of concurrent game sessions, design content discovery for billions of pieces of user-generated content, design the creator economy infrastructure (virtual currency, marketplace, payouts), design content moderation at platform scale, design real-time multiplayer game services with the specific constraints of running a wide variety of user-created games. Depth on platform-scale tradeoffs and the specific operational reality of running Roblox expected.
Free rep: Design walkthrough: Design a Chat System (WhatsApp / Slack) →Onsite: domain depth (engine / trust & safety / AI teams)
60-75 minutes. Team-specific. Engine: graphics rendering, physics simulation, networking for multiplayer, the scripting runtime architecture. Trust & safety: content moderation at scale, the adversarial reality of moderating user-generated content, the specific challenges of a young player base. AI: integrating generative AI into a creator platform, AI-driven moderation, the specific tradeoffs of LLM-assisted content creation.
Free rep: What this round looks for →Onsite: hiring manager / behavioral
45-60 minutes. Platform engineering focused. Stories about operating at scale, working with creators or analogous external developers, navigating the tradeoffs unique to user-generated content platforms (creator success vs player safety, growth vs moderation cost, etc.). Generic narratives fail.
Free rep: STAR answers: Customer Obsession (Amazon Leadership Principle) →The full Roblox prep pack → what they value, topic emphasis, and the questions candidates ask.
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