ABX.
Summer cohort · 3 spots remaining

Backend SDE · Offer Guarantee Program

The offer you were told was out of reach.

One-on-one mentorship for backend engineers targeting new-grad to L5 at Google, Meta, and top startups. Production-grade projects, direct referrals, and a refund if you don't land an offer.

Graduates now at
google
meta
amazon
netflix
linkedin
databricks
airbnb
doordash
notion
Outcomes

0%

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 top-50 unicorns
Since 2022 · 14 companies
67
Google Summer of Code selections
2 in 2023 · 3 in 2024 · 5 in 2025
10
Graduate stories

Three engineers, three different gaps, one path through.

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. We teach production.

Three parallel tracks. Pick the one that matches the role you're interviewing for — the curriculum ranks every technology by whether you'll own it in production or only need to recognize it in a system-design round.

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

Eight things we do. Nothing we don't.

The program runs a full year. Everything else in the list — resume, system design, referrals, negotiation — orbits one core experience: 10+ focused mini-projects that build the reflexes, and two multi-month capstones that prove them at scale.

  1. 01
    Core of the program

    Two capstones + 10+ mini-projects

    The core of the program. Ten-plus focused mini-projects across the year — from database internals and distributed consensus to trending AI-infra systems like vector search, RAG, and agent evaluation. Mini-projects build the reflexes. Two multi-month capstones put those reflexes to work on production-grade distributed systems that real FAANG engineers recognize. This is the industry experience your resume has been missing.

  2. 02

    System design from first principles

    The patterns, trade-offs, and scaling intuitions you build while shipping the projects. No rote memorization — you'll derive solutions on the whiteboard because you've made the decisions before.

  3. 03

    Resume reconstruction

    Once the work is real, the resume writes itself. Every bullet defended, every trade-off owned. If you haven't done it, we don't write it.

  4. 04

    Direct referrals

    Your project work lands on a hiring manager's desk, not in a resume queue. Warm intros at partner startups and FAANG teams.

  5. 05

    OA mastery

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

  6. 06

    Behavioral mock loops

    Companies hire future colleagues. We rehearse until the answers sound like yours — grounded in the projects you actually built.

  7. 07

    Unlimited VO mocks

    Deconstruct, experiment, feedback, repeat — until the next onsite is routine, not an ambush.

  8. 08

    Comp negotiation

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

Always on

And a co-pilot between sessions.

Mentors teach you. Projects prove you. An AI study companion keeps you honest in between.

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
Behavioral, coding, and system-design mocks on demand, with feedback calibrated to the bar at Google, Meta, and top startups.
Private to you and your mentor
Every session, every attempt, every review note is visible to your mentor before your next 1-on-1. No retelling. No drift.

Voices of Success

From universities to leading tech HQs. Hear from the students who made it happen.

Student from Stanford

Verified

"课程对我帮助非常大!老师帮我聚焦简历亮点后,我突然获得了更多面试机会,而且面试官都会问我在项目中做的内容。"

Student from MIT

Verified

"我们一起做的项目非常精炼,成为我面试的核心亮点。我之前的项目相比之下完全不够看,真的差太多了。"

Student from UC Berkeley

Verified

"distributed system 的课程讲解比我自己啃教材快太多了。结果面试官刚好问我们做的项目,完全命中准备方向!"

Student from CMU

Verified

"之前一直拿不到面试。老师帮我删掉没亮点的经历后,我开始连续收到多家公司的面试,非常惊喜。"

Student from Columbia

Verified

"课程让我建立了非常清晰的系统设计与底层逻辑框架,在面试中回答问题特别有底气。"

Student from Cornell

Verified

"收到 MathWorks 的 offer 啦!一路上真的非常感谢老师,之前秋招连面试都拿不到,现在完全是新的局面。"

Student from JHU

Verified

"我拿到 Amazon 的 offer!非常感谢老师一直以来的支持、鼓励与指导。"

Student from Rice

Verified

"成功拿到 Oracle NoSQL 的 offer!过去一年能有这么大提升,真的离不开老师的耐心辅导。"

Student from UMich

Verified

"Meta 发 offer 了!谢谢老师,两年迷茫的求职路终于看见结果了。"

Student from NYU

Verified

"收到了 Ticketmaster 的 offer!第一次感觉自己真的在职场竞争中占优势。"

Student from Stanford

Verified

"课程对我帮助非常大!老师帮我聚焦简历亮点后,我突然获得了更多面试机会,而且面试官都会问我在项目中做的内容。"

Student from MIT

Verified

"我们一起做的项目非常精炼,成为我面试的核心亮点。我之前的项目相比之下完全不够看,真的差太多了。"

Student from UC Berkeley

Verified

"distributed system 的课程讲解比我自己啃教材快太多了。结果面试官刚好问我们做的项目,完全命中准备方向!"

Student from CMU

Verified

"之前一直拿不到面试。老师帮我删掉没亮点的经历后,我开始连续收到多家公司的面试,非常惊喜。"

Student from Columbia

Verified

"课程让我建立了非常清晰的系统设计与底层逻辑框架,在面试中回答问题特别有底气。"

Student from Cornell

Verified

"收到 MathWorks 的 offer 啦!一路上真的非常感谢老师,之前秋招连面试都拿不到,现在完全是新的局面。"

Student from JHU

Verified

"我拿到 Amazon 的 offer!非常感谢老师一直以来的支持、鼓励与指导。"

Student from Rice

Verified

"成功拿到 Oracle NoSQL 的 offer!过去一年能有这么大提升,真的离不开老师的耐心辅导。"

Student from UMich

Verified

"Meta 发 offer 了!谢谢老师,两年迷茫的求职路终于看见结果了。"

Student from NYU

Verified

"收到了 Ticketmaster 的 offer!第一次感觉自己真的在职场竞争中占优势。"

Student from Duke

Verified

"GSoC 进了!从项目准备到申请文书,老师给的方向真的太关键了。"

Student from UChicago

Verified

"我 GSoC 被选中啦!课程里学到的内容真的太实用,让我准备得非常专业。"

Student from UPenn

Verified

"亚麻、Meta 都开始来联系我了,完全没想到今年能有这么好的收获。"

Student from Brown

Verified

"Meta 的 offer 来了!!老师真的帮了我太多,没有你的指导我绝对走不到这一步。"

Student from Yale

Verified

"Google Summer of Code 成功上岸!从题目选择到 proposal 撰写,老师一步步帮我提升,非常感激。"

Student from Princeton

Verified

"我过去从来没想过能申请上 GSoC,这次真的多亏老师在关键步骤的指导!"

Student from UCLA

Verified

"项目经验帮助我在面试中大放异彩,很多考点都被问到,让我能从容应对。"

Student from Northwestern

Verified

"我以前的简历缺乏亮点,是老师帮我重新提炼内容后,面试才开始多起来。"

Student from GaTech

Verified

"课程内容非常系统,特别是事件流与分布式项目,面试官对我做的部分印象很好。"

Student from USC

Verified

"太开心了!这一路的成长完全离不开老师的教导,终于在毕业前拿到了满意的 offer!"

Student from Duke

Verified

"GSoC 进了!从项目准备到申请文书,老师给的方向真的太关键了。"

Student from UChicago

Verified

"我 GSoC 被选中啦!课程里学到的内容真的太实用,让我准备得非常专业。"

Student from UPenn

Verified

"亚麻、Meta 都开始来联系我了,完全没想到今年能有这么好的收获。"

Student from Brown

Verified

"Meta 的 offer 来了!!老师真的帮了我太多,没有你的指导我绝对走不到这一步。"

Student from Yale

Verified

"Google Summer of Code 成功上岸!从题目选择到 proposal 撰写,老师一步步帮我提升,非常感激。"

Student from Princeton

Verified

"我过去从来没想过能申请上 GSoC,这次真的多亏老师在关键步骤的指导!"

Student from UCLA

Verified

"项目经验帮助我在面试中大放异彩,很多考点都被问到,让我能从容应对。"

Student from Northwestern

Verified

"我以前的简历缺乏亮点,是老师帮我重新提炼内容后,面试才开始多起来。"

Student from GaTech

Verified

"课程内容非常系统,特别是事件流与分布式项目,面试官对我做的部分印象很好。"

Student from USC

Verified

"太开心了!这一路的成长完全离不开老师的教导,终于在毕业前拿到了满意的 offer!"

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+ candidates interviewed.
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.

Summer cohort · applications close June 30

Apply to the next cohort.

Three spots remain in the summer cohort. The application is a 30-minute form — no fee, no obligation, and we'll tell you honestly whether the program is a fit.

Start application
Format
1 year · 1-on-1 · remote
Commitment
~15 hrs/week
Guarantee
Refund if no offer