Active engineers from Google, Meta, Netflix & Amazon

Your Path to Big Tech Engineering

Get personalized mentorship, mock interviews, and referrals to land your dream job.

Carefully chosen mentors to guide and support you

Job application support & referrals

Mock interview preparation

Resume prep and improvements

Community of likeminded engineers

Mentors from world-class engineering teams
Google
Meta
Amazon
Netflix
Uber
Stripe
Microsoft
Apple
Airbnb
Google
Meta
Amazon
Netflix
Uber
Stripe
Microsoft
Apple
Airbnb
Google
Meta
Amazon
Netflix
Uber
Stripe
Microsoft
Apple
Airbnb
Google
Meta
Amazon
Netflix
Uber
Stripe
Microsoft
Apple
Airbnb

How it works

From practice to placement in three steps.

Personal Plan

Get a personalized roadmap to crack the interview.

01

Mentorship

Practice with engineers from top tech companies.

02

Get Referred

Our mentors push your profile directly to HR systems.

03
Electi Platform

Track every rep. Know when you're ready.

Most engineers prep blind. Electi gives you a real-time pulse on your velocity, pattern gaps, and interview readiness.

platform.electi.io/dashboard

Dashboard

Week 8

Problems Solved

0

Mock Interviews

0

Readiness Score

0%

Weekly Solving Velocity

W1
W2
W3
W4
W5
W6
W7
W8

Pattern Coverage

Arrays & Hashing91%
Trees & Graphs78%
Dynamic Programming62%
System Design54%

Recent Mock Interviews

View all →
System DesignSystem Design: Rate Limiter
8.5
CodingLeetCode Hard: Word Ladder
7.8
BehavioralBehavioral: Conflict Resolution
9.1

Velocity Tracking

See your solving speed improve week over week. Know when you're accelerating — and when to push harder.

Pattern Gap Analysis

Automatically identifies which algorithm patterns need more practice before your next interview.

Interview Readiness Score

A single number that tells you exactly when you're ready to start applying. No guesswork.

Mentor Pedigree.

Your mentor is someone who has already cleared the loop at the most competitive companies in the world.

Vladimir

Vladimir

Backend Engineer @Meta

London, UK

Ex-AmazonEx-The Trade Desk

Backend engineer specializing in low-latency systems and performance optimization. At The Trade Desk, he worked on bidding algorithms at 10M+ QPS, designed services processing hundreds of TBs daily, and drove infra cost reduction through low-level optimizations. Previously at Amazon improving availability of high-throughput Prime Video services.

Sultan

Sultan

Software Engineer @Meta

London, UK

Bloomberg LondonBloomberg NYGoogle Kraków

Full-stack engineer with a textbook Big Tech arc: rejected by Meta and Yandex in Year 1, he doubled down on algorithms and LeetCode. Within a year: Bloomberg London → Bloomberg NY → Google Kraków → offers from Meta, Google, and Bloomberg — all in London.

I wasn't an olympiad winner, didn't get straight A's, and wasn't the smartest. But at some point I had a strong desire to become better. I put in a lot of effort and that opened many doors.
Timur

Timur

Engineering Manager @Google

London, UK

Ex-MetaEx-Booking.com

Leads a mobile product team at Google London. Each career move — from Booking.com to Meta to Google — was a deliberate bet on growth. Chose London for its dense tech ecosystem and the calibre of engineers around him.

Preparation should become a habit. What matters most is the candidate's inner drive to constantly improve.
2 active FAANG-tier interviews

Real progress. In their own words.

Messages from students currently in the program.

Before this I could barely solve algorithm problems, my background was mostly ML and SQL. Now I'm getting through every topic we cover. The mock interview part especially. And I manage to combine it with full-time work.

Shokhrukh

Foundation · Month 2

If you already know some DSA it moves fast, which is good. The only hard part is finding time when you work and study simultaneously. But the intensity, that's exactly the point.

Yernur

Foundation student

Main thing I'm realizing: I need to stop relying on test runs to debug, interviews don't allow that. Mentor caught that gap before I even noticed it. Algorithm stage feels close to handled now.

Galym

Accelerator student

Netflix Interview · Revolut Interview

3 months in and I'm already in interview loops at Netflix and Revolut. First time doing a FAANG-style interview. My mentor called the exact problem that came up in the coding round. I just executed what we practiced.

R

Roma

Accelerator · Month 3

Who is Electi for?

We are selective because we want you to succeed.

Electi is a good fit if you:

  • Have 2+ year of professional software engineering experience
  • Are targeting Big Tech roles (Google, Meta, Amazon, etc.)
  • Can commit 10–15 hours per week to preparation
  • Are ready to prepare for 6-12 months

You are willing to:

  • Solve 200–400 coding problems
  • Practice system design weekly
  • Do mock interviews and iterate on feedback

Electi is NOT a good fit if you:

  • Expect to get hired in 2–3 weeks
  • Want a guaranteed offer or referral without preparation
  • Are not ready to invest months of consistent effort
  • Are "just curious" but not fully committed
  • Are looking for shortcuts instead of skill-building
This is how most successful Google / Meta candidates actually prepare.

Your career, in numbers

See how your preparation pays off in your first year after getting hired.

Using default $10,800/yr (approx $900/mo)

You invest$17,548total
First-year salary increase+$149,200
Your net upside
+$131,652
After deducting all training costs

Estimates are based on public market salary data and typical preparation timelines. Your actual result depends on your experience and effort.

Pricing

Choose the level of support designed for your ambition.

Foundation

Popular choice for building confidence & core skills.

$129/mo

+10% Success Fee.

  • 1 workshop per week with material deep dives
  • Bi-weekly personal written feedback from your dedicated mentor
  • Access to private Electi community & mentor group chat
  • Behavioral interview preparation
  • Job application support & referrals
Most Popular

Accelerator

For engineers who want personal mentorship and faster progress.

$299/mo

+10% Success Fee.

  • From 2 one-on-one mentor sessions per month
  • Fully personalized preparation plan
  • Mock interviews with feedback
  • Resume and application strategy
  • Coding + system design curriculum
  • Progress tracking platform
  • Private community access

Accelerator Upfront

For engineers who want to keep 100% of their future salary.

$699/mo

0% Success Fee.

  • Everything in Accelerator
  • No future income sharing
  • Best long-term value
  • Priority mentor matching

Interview Sprint

Invite-only plan for interview-ready engineers.

$0upfront

Performance based. 15% Success Fee.

  • Mock interview focus
  • Immediate referral network access
  • Strict technical screening required
  • Pay only when hired