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Flagship · Offer Guarantee

Land the offer you thought was out of reach.

One-on-one mentorship to help you break into the world’s best tech companies. Production-grade systems, personal referrals from his own network, and a methodology proven over and over — all 61 mentees since 2022 have landed at top tech companies. No offer, full refund.

Start applicationSee the tracks
  • Our highest-conviction program — we put our own fee on the line.
  • A full year of 1-on-1 mentorship across Backend, Data Platform, or AI Infrastructure.
  • We put your resume straight on a hiring manager's desk — not in the resume black hole.
  • Complete the program and don't land a qualifying offer within 12 months, and we refund your tuition.
Outcomes

100%

Offer guarantee. Refund if you don't land one.

Cohort offer rate, last 3 years
Verified via LinkedIn + offer letters
100%
Median total compensation at placement
New-grad through L5, US-based
$218k
Graduates now at FAANG or unicorns
Since 2022 · 14 companies
61
Google Summer of Code selections
2 in 2023 · 3 in 2024 · 5 in 2025 · 3 in 2026
13
Graduate stories

Three engineers from different backgrounds, three different gaps.

01
THE ACADEMIC · Cornell MS CS · 3.9 GPA

Master's degree to Meta

“I was ghosted by every recruiter despite my 3.9 GPA. The project gave my resume the signal it was missing.”

$240k
Meta E3 · Total comp

I was finishing my Master's at Cornell with a 3.9 GPA. I had the theory down cold—I could solve Hard LeetCode problems in 20 minutes. But I wasn't getting interviews. My resume was just a list of coursework and toy projects.

I realized that in this market, a degree isn't enough. Recruiters are looking for builders. My resume looked exactly like every other new grad's: generic and theoretical.

ABX changed the trajectory. We didn't just build another To-Do app; we built a distributed online moderation system to solve a real problem at scale. It wasn't a tutorial—it was engineering.

Suddenly, I wasn't getting ghosted. In my Meta interview, when they deep-dived into my resume, I didn't freeze. I explained why we chose specific trade-offs for real-time moderation. That depth got me the offer.

02
THE CLIMBER · Startup Senior → Google L5

Breaking senior-title inflation

“I had the 'Senior' title for years, but Big Tech kept down-leveling me. I needed to prove I had L5 depth.”

L5
Google · Senior SWE

I'd been a 'Senior Engineer' at a mid-sized startup for four years. I was shipping features and mentoring juniors, so I thought I was ready for FAANG. I was wrong. Every interview resulted in an L4 offer.

The feedback was brutal but fair: I was great at execution, but weak on high-level architecture. I was stuck in the weeds of implementation.

I joined ABX to force myself to think bigger. The curriculum pushed me to design systems that handle millions of QPS, not just thousands. We dissected real-world architectures like Kafka and Cassandra.

In my Google onsite, I drove the system design discussion. I anticipated bottlenecks before the interviewer pointed them out. I finally got the L5 offer I'd been chasing for two years.

03
THE GRINDER · UCSD CS · 3.1 GPA

Average grades, top-tier offer

“I wasn't the smartest kid in my class. I just needed a blueprint that actually worked.”

L4
Amazon · SDE I

Let's be honest—I'm not a genius. I went to UCSD, a great school, but my GPA was a 3.1. I struggled with Dynamic Programming. I saw my classmates getting offers at Google and felt completely left behind.

I didn't need more 'hacks' or 'tricks'. I needed a rigorous, structured plan. ABX provided that discipline. It wasn't a magic pill; it was a lot of work. But for the first time, I knew exactly what to work on.

I followed the roadmap religiously. A full year of deep dive into backend engineering principles. No shortcuts.

I didn't get into every company I applied to, but I got the one that mattered. I secured an SDE I offer at Amazon. For a strictly 'average' student like me, that changed my life.

Production engineering

Schools teach algorithms. AI writes the code. We teach the judgment that directs both.

Three tracks: Backend, Data, AI Infra. None of them is about a framework's syntax; you can pick that up from AI in an afternoon. They're about getting each domain's fundamentals into your bones: how data moves, how systems fall over under load, why a design has to be the way it is. Only once you truly understand that can you direct AI to build something that holds, instead of getting pulled around by whatever code it spits out.

Track 1

Backend SDE

Services, stores, and scale that a product-side backend engineer ships in production. JVM or Go, classical OLTP, async messaging, and the deployment surface around them.

See the roadmap
Core
You ship production code in these.
  • Java + Spring Boot
  • PostgreSQL
  • Redis
  • Kafka
  • gRPC
  • Docker
  • Kubernetes
  • AWS
Exposure
Deployed, debugged, or benchmarked inside capstone work.
  • Cassandra
  • DynamoDB
  • MongoDB
  • Elasticsearch
  • RabbitMQ
  • Prometheus
  • Grafana
  • Jaeger
  • OpenTelemetry
  • Terraform
  • Nginx
  • Consul
Track 2

Data Platform

Batch, stream, and lakehouse infrastructure that a data-platform engineer owns end to end. Kafka is the shared backbone; everything else answers to scale, latency, and correctness.

See the roadmap
Core
You ship production code in these.
  • Apache Spark
  • Apache Flink
  • Kafka
  • Airflow
  • dbt
  • Iceberg
  • Snowflake
Exposure
Queried, tuned, or integrated against on capstone work.
  • Databricks
  • ClickHouse
  • Druid
  • Trino
  • Airbyte
Track 3

AI Infrastructure

The engineering discipline around LLMs in production — serving, retrieval, agents, evaluation. Backend fundamentals applied to the 2026 hiring boom. This track trains AI infrastructure engineers, not model researchers — no training loops, no gradient math.

See the roadmap
Core
You ship production code in these.
  • Python
  • Ray
  • vLLM
  • LangChain
  • PyTorch
  • Qdrant
  • Kubernetes
  • NVIDIA
Exposure
Integrated, benchmarked, or orchestrated against on capstone work.
  • Hugging Face
  • OpenAI
  • Anthropic
  • Temporal
  • MLflow
  • ONNX
  • Ollama
  • Milvus
The program

The eight core things we do.

The program runs one year. Everything else — resume, system design, referrals, negotiation — revolves around one core: 10 targeted mini-projects to build your foundations, then two months on capstone projects — production-grade distributed systems.

  1. 01

    Two capstones + 10 mini-projects

    We start by building 10 targeted mini-projects to lock in your fundamentals — from database internals and distributed consensus to vector search, RAG, and agent evaluation (depending on your track). Once the foundations are solid, we move to two capstone projects — real, production-grade distributed systems.

  2. 02

    The complete curriculum

    Algorithms, advanced algorithms, OOD, and system design — the full course system, taught from first principles. No rote memorization; you derive solutions on the whiteboard because you've made the decisions before.

  3. 03

    Resume reconstruction & deep-dive

    Every bullet defended, every trade-off owned — then drilled until you can deep-dive any line under pressure. If you haven't done it, we don't write it.

  4. 04

    Your resume, straight to the hiring manager

    We skip the resume black hole. Your resume goes directly onto a hiring manager's desk through our network of warm contacts and referrals at partner startups and FAANG teams — read by a decision-maker, not filtered out by a keyword screen.

  5. 05

    OA coaching

    Targeted training to clear online assessments on the first try, so the work you did actually gets seen.

  6. 06

    Mock interview loops

    Coding, behavioral, debugging, and AI-round mocks — plus a 100+ question behavioral bank and targeted interview-question prep. Unlimited reps until the onsite is routine, not an ambush.

  7. 07

    GSoC, referrals & Day-1 prep

    Google Summer of Code application support, warm referrals into our network, and Day-1 onboarding prep. We don't stop at the offer — we get you ready to walk in.

  8. 08

    Comp negotiation

    Strategies that have turned $160k offers into $200k+ packages. Honest levers, not theater.

Always ready

An AI co-pilot system built for SWE learning.

Mentors guide you. Projects prove your skills. And an AI study companion monitors your learning quality so you stay on track.

Tracks where you're weak
Across 400+ system-design problems and the two capstones, it sees which concepts you keep getting wrong — and schedules the next session around them.
Simulates the loop
On-demand behavioral, coding, and system-design mock interviews, with feedback calibrated to Google, Meta, and top-startup standards. Walk into real interviews with confidence.
Private to you and your mentor
Every practice session, every attempt, every review note is visible to your mentor before the next class. Knowledge transfer, done efficiently.
The receipts

No claims. Just screenshots.

Real offers, WeChat threads, and messages from students who made it. Names and avatars are blurred for privacy.

MENTOR

FAANG Veteran

10+ years specializing in distributed systems.
L3 → L7 → CTO.
I've walked the path you want to take.

Serial Entrepreneur

3-time founder. All ventures backed by top-tier VCs.
This isn't just coding; it's about building value.

Hiring Expert

1000+ technical interviews. ~100 interviewers trained.
I know exactly why you're failing interviews, and
how to fix it.

Common Questions

Everything you need to know about the program, the guarantee, and your future results.

Fall cohort · Applications close September 30

Apply to the Offer Guarantee program.

The application is short — about a minute if your situation is simple. If it’s complex, feel free to share everything with us. We’ll tell you honestly whether the program is a fit.

Start application

All three of ABX’s programs share one application — just tell us which one you want on the way in.

Format
1 year · 1-on-1 · remote
Commitment
~10–20 hrs / week
Tracks
Backend · Data · AI Infra
Guarantee
Refund if no offer
Offer Guarantee Mentorship | ABX