Every year, thousands of brilliant engineers write off companies that would have changed their financial lives — because those companies didn't have a Google or Meta logo. Let me tell you something I've learned from watching this industry closely for over a decade: the FAANG obsession has become one of the most expensive career mistakes in tech.

Jane Street hires new graduates at $300,000–$500,000+ total compensation. Stripe's L5 software engineers routinely clear $450,000–$550,000 TC. Databricks employees who joined in 2019–2021 are sitting on multi-million-dollar equity positions ahead of what analysts project will be one of the biggest IPOs in tech history. Cloudflare, Datadog, and Snowflake — companies most Indian engineers couldn't name three years ago — now employ some of the best-paid engineers on the planet.

Meanwhile, a Google L5 in the Bay Area makes $400,000–$500,000. A Meta E5 clears $450,000–$550,000. These are great numbers — nobody is saying they aren't. But they are no longer unique. The FAANG pay moat has been eroded by a generation of hyper-funded, product-obsessed companies that realized they had to pay to compete for talent.

The uncomfortable truth: The Indian engineering community has a FAANG fixation that is both cultural and deeply irrational. Engineers spend 2–3 years grinding LeetCode exclusively for FAANG, with a 2–5% acceptance rate, while dozens of companies with equivalent or better pay, better culture, faster career growth, and equally interesting engineering problems are hiring right now — with less competition.

Why the FAANG Obsession Is Costing You Money

Let's put some numbers on this. In 2018, the gap between FAANG and the second tier of tech companies was significant — maybe 30–50% in total compensation. In 2025, that gap has largely closed in the upper tier and often reversed when you factor in equity upside.

2–5%
FAANG acceptance rate for SWE roles
10–25%
Acceptance rate at top non-FAANG companies
3–5x
Typical equity multiplier at pre-IPO vs public FAANG
60%+
Engineers who regret not targeting non-FAANG earlier

The problem runs deeper than just salaries. FAANG — specifically Google, Meta, and Amazon — has gone through massive layoff cycles. In 2022–2023, over 60,000 engineers were laid off from these companies alone. Meanwhile, Stripe, Cloudflare, Datadog, and Snowflake either didn't lay off at all or made surgical, minor reductions. The perception of FAANG as the "safe" choice has been completely debunked by recent history.

"The engineers who got richest in this decade weren't the ones who chose the safest logo. They were the ones who got in early at the right growth-stage company — Stripe in 2016, Databricks in 2019, Cloudflare in 2018. Every generation has its window. The question is whether you're paying attention." — Observation from a decade of tracking tech careers

There is also the often-ignored factor of what I'd call engineering ownership. At Google, you are one of 170,000+ engineers. Your impact on any given system is marginal. At Cloudflare with 3,500 engineers, or Datadog with 5,000, your contributions are visible, attributable, and career-defining. The engineers who become Staff or Principal fastest are often those who joined smaller-scale companies where they could own complete systems — not just components.

Category 1: Quant & HFT Firms — The Hidden Goldmine

This is the most under-discussed, most under-targeted category in the Indian engineering community. Quantitative finance and high-frequency trading firms routinely pay more than any FAANG company — often 2–3x more for the same level — and they are constantly hiring exceptional engineers.

Jaw-dropping fact: Jane Street's SWE new grad package in 2024 was reported at $300,000–$500,000+ total compensation. A returning intern can receive $450,000+ as a full-time offer. This is not a typo. These numbers are real and documented on levels.fyi.
Jane Street S-Tier
Quant / HFT
$350–550K+
New grad TC (USD)
~1,000
Total engineers
One of the most elite trading firms in the world. Uses OCaml extensively (rare and prestigious). Known for an extraordinary engineering culture — no bureaucracy, maximum ownership, incredibly smart colleagues. Based in NYC and London. Very selective but not FAANG-selective. Internship → full-time conversion is the primary pipeline.
  • Highest new-grad TC in the industry
  • Unparalleled intellectual environment
  • No leveling bureaucracy — flat structure
  • Functional programming (OCaml) expertise is rare and valuable
Citadel / Citadel Securities S-Tier
Quant / HFT
$300–500K+
SWE TC (USD)
~2,500
Employees
Two entities: Citadel (hedge fund) and Citadel Securities (market maker). Both pay elite money. Strong C++ and Python focus. Chicago and NYC hubs. They recruit heavily from top CS programs and run competitive summer internships. Bonuses here are legendary — base is just the floor.
  • Massive year-end bonuses (often 100%+ of base)
  • World-class performance engineering challenges
  • Strong path to quant researcher roles
  • Brand name respected across all of finance and tech
Two Sigma A-Tier
Quant / Data Science
$280–450K
SWE TC (USD)
More of a data science + software engineering hybrid. Known for a strong academic culture, excellent work-life balance relative to its pay, and significant investment in ML/AI research. NYC-based. They openly describe themselves as a technology company that does trading.
  • Better WLB than pure HFT firms
  • Heavy investment in ML and AI research
  • Open source contributions encouraged
DE Shaw A-Tier
Quant / HFT
$280–430K
SWE TC (USD)
A legendary firm that Jeff Bezos worked at before founding Amazon. Strong culture of intellectual rigor. The interviews are notoriously hard — think competitive programming-level puzzles. But the pay and the colleagues are absolutely worth the preparation. They have offices in Hyderabad, India too.
  • DE Shaw Hyderabad office — India opportunities
  • Legendary intellectual culture
  • Stable, long-tenured team — very low turnover
Optiver / HRT / Akuna A-Tier
HFT
$250–400K
SWE TC (USD)
Optiver (Amsterdam + Chicago), Hudson River Trading (NYC), and Akuna Capital (Chicago) all compete at the highest levels of HFT. All three have aggressive hiring and pay structures that rival Citadel. Optiver in particular has grown its India presence significantly.
  • Low latency systems engineering — elite skills
  • Optiver has Singapore office (near India)
  • Smaller teams = more ownership
For Indian engineers specifically: DE Shaw has a significant Hyderabad office. Optiver and Two Sigma have been expanding in Singapore which is accessible. The interview prep for quant firms — competitive programming, algorithms, math puzzles — overlaps heavily with DSA prep for FAANG. You are already training for this. Target them in parallel.

Category 2: Infrastructure & Cloud-Native Champions

This is arguably the hottest category in 2025. The companies building the infrastructure of the internet — the developer tools, the observability platforms, the API gateways, the data platforms — are growing faster than most FAANG businesses, hiring aggressively, and compensating at the very top of the market.

Stripe S-Tier
Fintech / Infrastructure
$400–550K
L5 TC (USD)
10,000+
Employees
Stripe is arguably the most prestigious non-FAANG tech company in the world right now. They power the payments infrastructure for millions of businesses — from indie developers to Amazon itself. The engineering bar is exceptionally high, but so is the reward. Their Ruby + Go + Java stack means diverse skills are valued. India office in Bangalore is growing fast.
  • Stripe Bangalore office — direct India hiring
  • Pre-IPO equity at $159B valuation (Feb 2026 tender offer) — still growing
  • The best developer experience engineering culture in the world
  • Strong promotion track with clear leveling
  • Interview is high-bar but less arbitrary than FAANG
Databricks S-Tier
Data / AI Platform
$380–520K
Senior SWE TC (USD)
$134B
Dec 2025 valuation
Databricks is the company behind Apache Spark, Delta Lake, and MLflow. They invented the data lakehouse paradigm that every major cloud now copies. If you care about data engineering, ML platforms, or large-scale distributed systems, this is the most exciting place on Earth right now. Pre-IPO equity here is potentially life-changing — the valuation has grown from $6B (2019) to $134B (Dec 2025).
  • Explosive revenue growth — $5.4B ARR growing at 65%+ YoY
  • Pre-IPO at $134B — IPO likely H2 2026, analysts project $200–300B
  • Deep open-source roots (respect in the community)
  • India engineering presence in Bangalore
  • MosaicML acquisition adds cutting-edge AI work
Cloudflare A-Tier
Network / Security
$300–420K
Senior SWE TC (USD)
3,500+
Employees
Cloudflare operates one of the world's largest networks. They are expanding into AI inference (Workers AI), zero-trust security, R2 storage, and edge computing. The engineering is genuinely fascinating — you work on problems at planetary scale. Rust is increasingly the preferred language here. Remote-friendly culture.
  • Edge computing and network engineering at global scale
  • Rust-first engineering culture — rare and valuable
  • Remote-friendly with offices in Austin, SF, London
  • Strong public company with consistent stock growth
Datadog A-Tier
Observability
$300–430K
Senior SWE TC (USD)
$2.5B
Annual Revenue
Datadog is the dominant player in observability and monitoring. Every serious tech company uses it. They went from $100M to $2.5B in ARR in about 6 years — one of the most impressive revenue trajectories in software history. The engineering is Go-heavy, deeply distributed, and genuinely challenging. Headcount growing aggressively in 2025.
  • Go-heavy codebase — high demand skill
  • Hyper-growth revenue with strong stock performance
  • Engineering blog is one of the best in the industry
  • Strong career growth for systems engineers
Snowflake A-Tier
Data Cloud
$320–480K
Senior SWE TC (USD)
$3B+
Annual Revenue
Snowflake had the largest software IPO in history. The company that poached Warren Buffett and Salesforce's money in 2020 before going public is still growing rapidly, expanding into Cortex AI (LLM integrations), Snowpark (developer platform), and Iceberg (open table format). C++ core with Python APIs. Very active hiring in 2025.
  • Strong equity with vesting milestones
  • Aggressive AI platform expansion
  • High-performance C++ core — elite systems work
  • India office presence growing
MongoDB / Confluent / HashiCorp B-Tier
Data / DevOps
$260–400K
Senior SWE TC (USD)
All three are leading their respective categories. MongoDB for document databases, Confluent for Kafka/event streaming (built by the original Kafka creators from LinkedIn), and HashiCorp for infrastructure as code (Terraform, Vault). All three have India offices with strong engineering teams and regular hiring.
  • Deep specialization creates rare expertise
  • Strong India engineering offices
  • Open-source roots — community respect

Category 3: Enterprise SaaS Giants Nobody Talks About

Here is a category that's chronically underrated in the Indian engineering community despite being home to some of the highest market-cap tech companies in the world. ServiceNow, Salesforce, Workday, and Adobe collectively employ tens of thousands of engineers globally, pay extremely well, and have India offices that are genuinely first-class engineering centers.

Company Market Cap Senior SWE TC (USD) India Office? Growth Trajectory
ServiceNow $200B+ $320,000–$460,000 Yes — Hyderabad, Pune 30%+ YoY, AI platform push
Salesforce $270B+ $280,000–$420,000 Yes — Hyderabad, Bangalore Stable + strong Slack acquisition
Workday $50B+ $270,000–$390,000 Yes — Hyderabad Consistent 15–20% YoY growth
Adobe $200B+ $270,000–$400,000 Yes — Noida, Bangalore AI-powered creative platform
Atlassian $45B+ $280,000–$420,000 Yes — Bangalore Remote-first, strong growth
Twilio $10B+ $260,000–$380,000 Yes — Bangalore Communications API leader

Let's talk about ServiceNow specifically because it deserves more attention. ServiceNow's market capitalization crossed $200 billion in 2024. Their revenue is growing at 20–25% annually even at this scale. The company powers IT service management for virtually every Fortune 500 company. Their India engineering centers in Hyderabad and Pune are world-class — not outsourcing centers, but genuine product engineering hubs where SWEs own complete product features.

The Atlassian advantage: Atlassian operates with a fully remote-first model. Engineers in India work on the same Jira, Confluence, and Trello products used by every developer in the world. The Bangalore office has hosted engineering leadership roles, not just IC roles. Pay is competitive, and the 25% remote working allowance globally means exceptional flexibility. If you want a product job without relocation pressure, Atlassian should be at the top of your list.

Adobe India — One of the Best-Kept Secrets in Bangalore

Adobe's Noida and Bangalore offices are genuine product engineering centers — not cost centers. The teams here build features for Photoshop, Acrobat, Premiere, and the Experience Cloud suite used by hundreds of millions of people. The engineering culture is mature, the pay is above the Indian market premium, and the brand name opens doors if you leave. Adobe has been aggressively hiring ML and AI engineers in India as they roll out Firefly (their generative AI platform for creative tools).

Category 4: Growth-Stage Consumer Companies

These are companies that your friends and family have actually heard of — Airbnb, DoorDash, Discord, Figma, Canva — and they all pay extremely competitively. The difference from FAANG is that these companies are either still growing rapidly or have engineering teams that are lean enough to give individual engineers significant ownership.

Airbnb A-Tier
Consumer
$350–500K
Senior SWE TC (USD)
Post-IPO Airbnb is wildly profitable (higher profit margins than Google in 2023). Their engineering org is intentionally lean — fewer engineers means more ownership per person. The product is beautiful, the engineering culture is renowned, and the remote-first policy post-2020 has made them a top destination. Live Anywhere policy was a genuine revolution.
  • Remote-friendly with competitive global pay
  • Profitable company with strong stock fundamentals
  • Exceptional product culture and design-led engineering
Figma A-Tier
Design / SaaS
$340–490K
Senior SWE TC (USD)
Figma survived the Adobe acquisition attempt and is now growing independently again. This is a browser-based multiplayer app with one of the most technically complex frontends in the industry — WebAssembly, WebGL, real-time collaboration. Engineers here work on genuinely hard problems. The culture is flat, the pay is top-tier, and the mission is clear.
  • Technically challenging browser/WASM engineering
  • Top-tier pay with pre-IPO upside
  • Strong design culture creates better product intuition
Discord A-Tier
Consumer / Comms
$300–420K
Senior SWE TC (USD)
200M+
Monthly active users
Discord processes billions of messages daily. Their infrastructure engineering challenges — real-time WebSocket at this scale, Rust-based Elixir services, media handling — are genuinely elite. The culture is intentionally casual but the engineering rigor is anything but. They've repeatedly turned down acquisition offers (most famously from Microsoft at $12B) because they believe in the independent mission.
  • Rust on the backend — cutting-edge stack
  • Scale challenges rival FAANG (200M MAU)
  • Pre-IPO equity at $15B+ valuation
Canva A-Tier
Design / SaaS
$250–400K
Senior SWE TC (USD)
$26B
Valuation
The Australian design unicorn that most people didn't take seriously until it hit $1B ARR and $26B valuation. 170M+ users. They have a genuinely global engineering team with a strong presence in Sydney, Manila, and remote workers across Asia-Pacific. Profitable, bootstrapped-culture, and still pre-IPO. The equity story here is still very much alive.
  • Pre-IPO at $26B — significant equity upside
  • Profitable with no pressure for rushed IPO
  • Remote-friendly for Asia-Pacific engineers
  • Mission-driven culture around democratizing design
DoorDash / Lyft / Roblox B-Tier
Consumer
$290–440K
Senior SWE TC (USD)
DoorDash's logistics engineering at scale (routing, real-time demand, surge pricing) is genuinely elite work. Lyft's maps and ridesharing infrastructure. Roblox's gaming platform engineering at 200M+ users. All three pay competitively, have interesting engineering domains, and have been actively backfilling post-layoff hiring in 2025.
  • Real-world logistics / maps / gaming challenges
  • Active hiring in 2025 after correction
  • Public companies with stable equity

Category 5: India-Based Product Companies Paying 40–120 LPA

The India Opportunity Is Different — And Massively Underrated

For engineers in India, the calculation changes significantly. You don't need a US offer to get exceptional compensation. India's top product companies now pay 40–120 LPA for mid-to-senior engineers, offer ownership that would be impossible at FAANG India offices, and are building products used by hundreds of millions of Indians. Here are the ones that matter most in 2025.

Company Domain SWE Pay Range (LPA) Hiring Status 2025 Why It Matters
Razorpay Fintech / Payments ₹40–90 LPA Actively hiring Building India's payments infrastructure. $7.5B valuation. Pre-IPO equity.
PhonePe Fintech / UPI ₹45–100 LPA Actively hiring 500M+ registered users. UPI market leader. IPO incoming. Strong equity story.
CRED Fintech / Lifestyle ₹50–120 LPA Selective hiring Highest engineering bar in India. Pays premium. Brand opens every door globally.
Meesho E-Commerce ₹40–90 LPA Actively hiring Next-billion-user commerce. $4.9B valuation. India's fastest-growing e-commerce.
Zepto Quick Commerce ₹35–80 LPA Aggressive hiring India's fastest-growing unicorn. Real-time logistics engineering at scale.
Groww Fintech / Investment ₹40–85 LPA Actively hiring 10M+ active investors. Pre-IPO. Building India's investing infrastructure.
Swiggy Logistics / Delivery ₹40–90 LPA Selective hiring Just IPO'd. Real-time logistics ML and scale engineering. Post-IPO growth phase.
Flipkart E-Commerce ₹50–120 LPA Actively hiring $37B valuation, Walmart-backed. India's Amazon. Best WLB among top India cos.
Zerodha Fintech / Trading ₹30–70 LPA Slow but selective Profitable from day 1. No VC pressure. Engineering culture deeply respected.

A note on CRED specifically — this company has become a kind of proving ground for elite Indian engineering. Their interview bar is among the highest in the country, their engineering blog is widely read internationally, and the alumni network includes engineers who have gone on to top roles at Stripe, Cloudflare, and Databricks. A CRED SWE 3 on your resume opens international doors in ways that most Indian product companies simply don't.

PhonePe is the one to watch in 2025–2026: With 500 million registered users and 40%+ UPI market share, PhonePe is one of the most used apps in India. They are pre-IPO (filing expected in 2026), which means engineers joining now are potentially entering at the best equity window. The engineering problems — scale, real-time payments, fraud detection — are genuinely world-class.

The Equity Argument: Why Pre-IPO Beats FAANG RSUs

The Math That Changes Everything

When you join Google at L5, you get RSUs in a $2 trillion company. Great. To 10x your stock value, Google needs to become a $20 trillion company. That is probably not happening in your career. When you join Databricks (currently $134B, growing 65% YoY) or Stripe (currently $159B, still pre-IPO), you are getting equity in companies that have demonstrated 15–22x valuation growth over 5–6 years. The IPO for Databricks is projected in H2 2026 at $200–300B. Analysts see a plausible path to 2–3x from here. This is not financial advice, but it is basic math.

Here are real equity outcomes engineers have seen at non-FAANG companies:

  • Stripe (2019 hire): Engineers who joined at the ~$9B valuation are sitting on equity worth ~17x at the current $159B valuation (Feb 2026). Every annual tender offer crystallizes real gains.
  • Databricks (2019 hire): Options issued at the ~$6B valuation are worth ~22x at the current $134B valuation (Dec 2025 Series L). IPO projected at $200–300B.
  • Palantir (2020 IPO hire): Stock surged 345% in 2024 alone — from a ~$20B market cap at IPO to $174B by end-2024. Engineers who held their RSUs turned good comp into extraordinary wealth.
  • Snowflake (2018 hire): The IPO in 2020 made Snowflake employee millionaires at a staggering rate — the stock went from $120 at IPO to $400+ within months.
  • Cloudflare (2018 hire): Pre-IPO employees saw their options vest into a stock that went from $15 at IPO to $100+ (up 6–7x) over three years.
  • PhonePe / Razorpay (India): Current employees in these pre-IPO companies may be sitting at the equivalent Stripe-2016 window. The India fintech boom is in full swing.
The counterpoint you should know: Equity is illiquid until IPO. Companies can downround. Options expire. Vesting cliffs mean you need to stay. None of this negates the upside argument, but you should factor in the risk. Pre-IPO equity is a lottery ticket with better-than-average odds — not a guarantee. FAANG RSUs in comparison vest into immediately liquid stock. Both have a place in a smart career strategy.

How Their Interviews Are Different From FAANG

One of the most useful things I can tell you is that the interview processes at non-FAANG companies are often better calibrated, less arbitrary, and more predictive of actual job performance. Here is how they break down:

Company Category DSA Weight System Design Weight Domain Knowledge Difficulty vs FAANG
HFT / Quant Very High (competitive programming level) Medium Math / Statistics Harder on DSA/Math
Stripe Medium High API design, payments Similar, more practical
Databricks / Snowflake Medium-High Very High Distributed systems Similar, more systems-focused
Cloudflare / Datadog Medium Very High Networking, infra Easier DSA, harder systems
Enterprise SaaS (ServiceNow, Atlassian) Medium Medium-High Behavioral, product sense Easier overall
India Unicorns (CRED, Razorpay) High High India fintech context Comparable to mid-FAANG

The key insight here: if you've been preparing for FAANG — DSA, System Design — you are already 70–80% ready for most non-FAANG companies. The marginal effort to add Stripe, Cloudflare, Databricks, and ServiceNow to your target list is essentially zero. You are leaving money on the table by not applying.

The Right Strategy: Building Your Non-FAANG Target List

Here is the framework I recommend to engineers I mentor. Stop thinking about companies as "FAANG" vs "non-FAANG." Start thinking about them in terms of your personal Career ROI Formula:

Career ROI = (Base Salary + Expected Equity Value) × (Growth Multiplier) × (Ownership Score) / Effort to Get In Growth Multiplier = how fast is the company growing revenue
Ownership Score = how much of the codebase/product will you directly own
Effort to Get In = competition level and interview difficulty

When you apply this formula, several non-FAANG companies outperform FAANG dramatically. Here is my personal tier list for 2025:

Tier Companies Why
S Jane Street, Citadel, Stripe, Databricks Max pay + max growth + elite brand. Harder to get in but worth the effort.
A Cloudflare, Datadog, Snowflake, Airbnb, Figma, Two Sigma, Canva Excellent pay, great equity upside, interesting engineering. Strong ROI.
B ServiceNow, Atlassian, Salesforce, MongoDB, Confluent, Discord, DoorDash Great compensation, lower competition, better WLB. Excellent for most engineers.
India PhonePe, CRED, Razorpay, Flipkart, Meesho, Zepto, Groww India-market leaders with strong equity stories and world-class engineering problems.
My concrete recommendation: For every FAANG application you send, send 2 non-FAANG applications. If you're targeting Google L5, also target Stripe E5, Cloudflare L5, and ServiceNow Staff. Your DSA+System Design preparation gets you in everywhere. Your acceptance rate goes up dramatically. And in many cases, the TC at non-FAANG will match or exceed what you'd get at FAANG.

Your 90-Day Action Plan

Theory without action is just entertainment. Here is how to concretely execute on this:

1
Days 1–10: Build your expanded target list Create a spreadsheet with 30 companies: 8 FAANG, 22 non-FAANG from the tiers above. Research each one — current headcount, recent Glassdoor reviews, open roles, India presence. Use levels.fyi to verify TC ranges. Set up job alert notifications for your top 15.
2
Days 10–45: Targeted preparation by company category For infra companies (Cloudflare, Datadog): study distributed systems deeply. For Stripe: study API design, payments infrastructure, reliability engineering. For quant firms: practice math puzzles and competitive programming. For enterprise SaaS: polish behavioral stories and product sense answers. DSA remains the baseline for all.
3
Days 30–60: Build domain credibility Read the engineering blogs of your target companies (Cloudflare Blog, Stripe Engineering, Databricks Tech Blog, Datadog Engineering). These blogs are what their interviewers read. Understanding a company's engineering decisions before the interview is a massive differentiator. Reference their blog posts in interviews.
4
Days 45–75: Activate your referral network Referrals at non-FAANG companies are often MORE powerful than at FAANG because hiring teams are smaller and more personal. LinkedIn search for "Stripe Bangalore" or "Cloudflare India" and message alumni from your college or previous companies. A referral at Stripe or Cloudflare moves you from the general pool to active consideration instantly.
5
Days 60–90: Apply, iterate, negotiate Apply to all 30 companies in a rolling 3-week window. Use your FAANG prep for the coding rounds. Use company-specific prep for the system design and domain rounds. When offers come in, ALWAYS negotiate — non-FAANG companies often have more compensation flexibility than FAANG. Create competing offers and use them transparently.
"The best career move isn't always the most famous company. It's the one that gives you the right combination of pay, ownership, growth, and optionality. In 2025, that combination exists at dozens of non-FAANG companies — and they're waiting for engineers who are too busy only targeting Google to notice." — A perspective earned through watching thousands of engineer career trajectories

The Bottom Line

The FAANG companies are great. I won't pretend otherwise — Google and Microsoft changed my career trajectory, and working at top companies is genuinely valuable for your development and brand. But they are not the only path, not even close to the best path in many cases, and the cost of ignoring the broader landscape is measured in hundreds of thousands of dollars in missed compensation and millions in missed equity.

Jane Street pays more than Google. Stripe's culture is more developer-centric than Amazon's. Databricks' equity story is more exciting than Meta's. Cloudflare's engineering problems are more novel than most of FAANG's legacy systems. PhonePe, CRED, and Razorpay offer the chance to build genuinely transformative technology for a market of 1.4 billion people with real equity upside.

The Indian engineering community has a habit of chasing prestige over opportunity. Break that habit. Build a target list that includes the companies in this article alongside your FAANG targets. Your preparation is already aligned — now all you need is the broader ambition.

Want structured preparation that covers all these companies? The Prepflix Career Accelerator program covers DSA, System Design, behavioral interview prep, and salary negotiation — specifically designed for engineers targeting product companies, FAANG, and the top-tier non-FAANG companies in this list. Over 1,572 engineers have used it to make the switch. Learn more here →