Company Interview Prep Packs

New grad / entry-level prep for Google's SWE loop, calibrated to L3 expectations.

Curated practice for the Google SWE interview loop, calibrated to L4 expectations.

Senior-level prep for Google's L5 loop - higher coding bar, deeper system design, and senior Googleyness signal.

Staff-level prep for Google's L6 loop - two system design rounds, tech leadership signal, and a dramatically higher bar than L5.

Senior Staff prep for Google's L7 loop - architecture review depth, cross-org technical strategy, and very few external hires.

Entry-level prep for Amazon's SDE I loop - coding fundamentals plus Leadership Principles, scaled to a new-grad bar.

Curated practice for Amazon's SDE II loop, with a heavy focus on Leadership Principles.

Senior-level prep for Amazon's L6 loop - deeper system design, tougher Bar Raiser, and Leadership Principles probed at multi-team scope.

Principal-level prep for Amazon's L7 loop - architecture review, org-level Leadership Principles, and a bar dramatically above Senior SDE.

Practical, applied prep for Stripe's notably hands-on backend interview loop.

Mid-level prep for Meta's E4 loop - high coding bar, one system design round, and mid-level behavioral signal.

Curated practice for Meta's E5 loop - heavy on system design and senior-level behavioral signal.

Practical prep for Anthropic's applied engineering loop - take-home project, writing-heavy culture, and genuine engagement with AI safety.

Entry-level prep for Microsoft's SDE I loop - balanced coding fundamentals, light system design, and Growth Mindset framing.

Curated prep for Microsoft's SDE II loop - balanced coding, system design, and Growth Mindset behavioral rounds.

Senior IC prep for Microsoft's Senior SDE loop - two design rounds, senior behavioral signal, and tech leadership expected.

Principal-level prep for Microsoft's loop - architecture review, technical strategy, and Growth Mindset at organizational scope.

Prep for OpenAI's applied engineering loop - strong algorithms, ML infrastructure design, and genuine mission alignment.

Prep for Databricks' engineering loop - distributed data systems, strong coding fundamentals, and deep technical depth on data infrastructure.

Prep for Apple's team-specific engineering loop - deep technical depth, strong fundamentals, and team-specific domain knowledge.

Prep for Netflix's notably high-context engineering loop - 'Senior' is the entry rung, the bar is steep, and the culture deck is real.

Prep for NVIDIA's engineering loop - heavy systems and parallel computing emphasis, deep CUDA/GPU domain knowledge for many roles.

Prep for Uber's senior IC loop - distributed systems depth, location-aware design, and cultural emphasis on ownership and impact.

Prep for Airbnb's product-engineering-heavy loop - strong coding fundamentals, frontend or backend depth, and the famous 'living the values' round.

Prep for LinkedIn's engineering loop - strong coding fundamentals, distributed systems depth, and Microsoft-influenced behavioral framing.

Prep for Tesla's mission-driven engineering loop - hardware-software interplay, autopilot ambition, and a culture that rewards velocity over process.

Prep for TikTok's engineering loop - high coding bar, recommendation-system depth, fast iteration culture, and the ByteStyle values screen.

Prep for Figma's craft-first engineering loop - browser-tech depth, design partnership, and the unusually applied take-home that defines the process.

Prep for Notion's product-engineering-heavy loop - applied coding, AI integration depth, productivity-tooling sensibility, and strong cross-functional product sense.

Prep for Salesforce's enterprise SaaS engineering loop - multi-tenant architecture depth, Apex/Lightning ecosystem fluency, and a structured ladder that runs deep.

Prep for Adobe's engineering loop - creative-tooling craft, performance depth, and the GenAI integration push that defines Adobe's 2026 product strategy.

Prep for Discord's engineering loop - real-time voice/video infrastructure, Elixir/Erlang depth, low-latency systems, and the unusual scaling challenges of large guilds.

Prep for Canva's engineering loop - design tooling at scale, canvas/WebGL depth, freemium product mechanics, and the Magic Studio AI integration push.

Prep for Ramp's engineering loop - fintech depth, finance integrations, growth-stage scaling, and a culture that rewards velocity and customer obsession.

Prep for Rippling's engineering loop - unified HRIS / IT / finance platform, multi-tenant SaaS depth, API-first architecture, and the unusually broad product surface.

Prep for Linear's engineering loop - product engineering at small-team scale, real-time sync depth, design partnership, and the performance-obsession that defines the brand.

Prep for Perplexity's engineering loop - AI-native search, retrieval and RAG depth, LLM serving at scale, and the velocity expected at one of the fastest-growing AI products.

Prep for Jane Street's interview loop - OCaml-first engineering, mental-math under pressure, probability and game-theory puzzles, and a culture built around training rather than hiring for direct experience.

Prep for Two Sigma's engineering loop - quantitative research infrastructure, Python and JVM depth, large-scale data systems, and the research-engineer collaboration model.

Prep for the Citadel and Citadel Securities loops - low-latency C++ depth, market microstructure literacy, hedge fund vs market-making team alignment, and a famously rigorous interview process.

Prep for HRT's interview loop - C++ and low-latency systems depth, algorithmic and statistical reasoning, and the small-team / research-leaning culture that distinguishes HRT from larger trading firms.

Prep for Atlassian's engineering loop - enterprise SaaS at multi-million-customer scale, Jira/Confluence/Bitbucket platform depth, the cloud migration story, and a values-driven culture with a notably structured behavioral process.

Prep for ServiceNow's engineering loop - the Now Platform at enterprise scale, workflow automation depth, AI integration, and the platform-engineering culture that powers Fortune 500 IT and business process automation.

Prep for IBM's engineering loop - hybrid cloud and AI focus (Red Hat, watsonx, IBM Cloud), enterprise customer scope, the broad business unit landscape, and a culture mid-transformation toward modern engineering practices.

Prep for Oracle's engineering loop - Oracle Cloud Infrastructure (OCI) growth story, database depth, the legacy applications business modernization, and the engineering culture mid-pivot from on-premise enterprise software to cloud.

Prep for Riot's engineering loop - live game services at the scale of League of Legends and Valorant, real-time multiplayer infrastructure, anti-cheat, and the player-experience-first engineering culture.

Prep for Roblox's engineering loop - the user-generated content platform at hundreds-of-millions-of-users scale, real-time game infrastructure, the creator economy, AI-driven moderation and creation tooling, and the unusual engineering challenges of running both an engine and a platform.