Christine Wang

45+ LPA for Engineers with Just 1 Year of Experience?! Yes — Coinbase is offering one of the highest-paying remote engineering roles in the industry right now. But getting in? That’s a different game altogether. Here’s a complete breakdown of the Coinbase Software Engineer interview process (and what they actually look for 👇): --- 🔹 Round 1 – Online Assessment (CodeSignal) A 90-minute challenge with 4 medium-level DSA problems. Solve at least 3/4 and you’re likely through. 💡 Tip: Focus on clean logic and efficiency — partial correctness matters. 🔹 Round 2 – Recruiter Screening A short call discussing your experience, tech stack, and role expectations. They also guide you with preparation resources and timelines. 🔹 Round 3 – Technical Interview 1 (Machine Coding + DSA) Build something real. Example: a transaction management system. They test how modular, readable, and extensible your code is — not just syntax. 🔹 Round 4 – Technical Interview 2 (OOP & Execution) Deep dive into OOP design and iterators. Focus: class relationships, clean abstractions, and handling edge cases. 🔹 Round 5 – System Design (HLD) Design a payment processing system. Expect discussions on APIs, data flow, microservices, scalability, and fault tolerance. 🔹 Round 6 – HR / Behavioral Cultural fit and motivation. Sample Qs: What drives you to do your best work? Example of creativity in problem-solving Long-term vision with the company --- 🧠 Coinbase cares more about your clarity of thought, design mindset, and coding discipline — not just perfect syntax. This process is intense — but also one of the best real-world learning experiences in system design, machine coding, and large-scale thinking. --- 🚀 Takeaway: If you’re preparing for top-tier product interviews, study how Coinbase evaluates scalability, design clarity, and engineering depth — that’s where real growth happens. #TechInterviews #Coinbase #SoftwareEngineering #SystemDesign #DSA #CareerGrowth #RemoteJobs #EngineeringExcellence

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The US Visa system is broken. You find an elite engineer. You sponsor them. You spend months on paperwork. Then you enter the H-1B lottery that has a failure rate of more than 80%. Why bet your company's success on a government coin flip? Just hire the person wherever they live. The old playbook says you need to manage immigration and global payroll. It’s an admin nightmare that kills execution speed. The new playbook is a two-step process: 1. Find the talent: Use a Global Hiring Marketplace like Caddie AI to get a verified shortlist of top candidates from around the world in days, not months. 2. Pay the talent: Leverage an Employer of Record (EOR) like Deel to onboard them legally and compliantly in their home country, turning a relocation headache into a remote hire. The result: No visa paperwork, no relocation costs, and a 100% success rate. Founders who are serious about speed and efficiency are the ones saving 60%+ on personnel costs while consistently securing elite talent. The best talent isn't waiting around for a visa. They are waiting for an offer. Are you hiring for location or for impact?

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Our recruiter just spotted another fake candidate with a "perfect" resume claiming to work at Coinbase. Here's what gave them away: The resume: Ivy League education, big tech companies, flawless experience The reality: - Located in a tiny Texas town 100+ miles from any major city - Using ChatGPT-generated cover letters (5 paragraphs of generic text) - LinkedIn with 20 connections and no profile picture When we got them on a video call, it became obvious: - Call center background noise - Robotic responses to basic questions - Couldn't explain how they worked "remote" at companies that don't allow it The strangest part: They're targeting early-stage startups specifically. We're seeing about 50 fake candidates per week now. The sophistication is getting scary, but the interview behavior still gives them away every time. Other founders dealing with this?

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I had lunch with a developer (with $100,000,000+ AUM), and asked him what separates successful first-time developers from those who stumble.  His answer? Execution. Here’s what he emphasized: 1. Run daily stand-up meetings: - Every morning the project is active.  - Identify the day’s roadblocks.  - Keep the critical path visible. - Surface issues early. This is how small problems get solved before they turn into schedule risk. 2. Maintain a rolling punch list. - Walk areas as they finish. - Document issues immediately. - Close items while trades are still mobilized. Quality control alone can prevent weeks of delays. 3. Curate team accountability. - Punch walks aren’t just for the superintendent. - Everyone walks the site. - Everyone sees the issues. - No one hides behind scopes or emails. Quality improves quickly when responsibility is shared in the open. P.S. What would you add to the list?

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San Francisco is quietly importing a work culture once synonymous with China’s Tech scene: 996 (9 AM–9 PM, six days a week). Ramp’s corporate card data shows a clear signal Saturday transactions in SF are spiking. From noon to midnight, corporate spending on restaurants, deliveries, and catering is noticeably higher than in 2024. This isn’t social dinners, it’s teams working weekends. Key patterns: The uptick is 4x stronger in SF than in New York, LA, Austin, or Miami. It’s not just AI startups, software, B2B, and even non-tech-but-tech-forward firms are part of it. Job postings in SF now openly mention 72-hour weeks. Why it matters: The AI gold rush is driving a culture of “always-on” intensity. Corporate meals are a quantifiable proxy for extended hours. The debate is split: some hail this as innovation fuel, others warn of burnout and diminishing returns. What’s clear is that San Francisco has become the U.S. epicenter of the 996 schedule. The city’s work rhythm is being redefined, faster, harder, and more controversial. Do you see this as a competitive edge or a looming collapse? #AI #WorkCulture #Startups #VC

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Ever wonder why some FAANG companies throw around $100k signing bonuses while others offer zero? Signing bonus policies vary wildly across FAANG. Here's what you can actually expect: Netflix: Zero signing bonuses → They just offer a big base salary instead → No other comp components typically Meta: Definitely does signing bonuses → Most likely to pay out big numbers → $100k possible for software engineers Amazon: Always offers signing bonuses → It's baked into their comp structure → They need it to offset low equity in years 1-2 → But here's the catch - if you ask for more signing bonus, ALL components must increase to keep average yearly comp consistent Apple: Offers them but can be lower → They sometimes attach them to timelines, “sign by Friday and get a $50k signing bonus” → $100k possible for software engineers but it's a stretch Google: Similar to Meta and Apple → $100k possible for software engineers → But you'll need to push for it If you're a software engineer or research scientist: → $100k signing bonus from Meta, Google, Apple can be possible → But it's kind of a stretch → Meta's your best bet If your job title isn't SWE or research scientist: → $50k is more realistic → Maybe $75k at the max Know what each company typically offers before you negotiate. Don't ask Netflix for a signing bonus - you'll look out of touch. What's the biggest signing bonus you've ever seen someone negotiate at FAANG?

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David Singleton was the CTO at Stripe for 7 years before he left to start /dev/agents. Prior to Stripe, he grew from a junior engineer to a VP at Google. I recently asked him about everything he knows about career growth and being an excellent engineering leader. We discussed: • How he grew from an IC to a VP at Google  • How to hire at scale without Leetcode • Writing code as a senior leader • The story behind becoming Stripe’s CTO • The top book and habit that impacted his career • How to start a non-bay area site successfully • How to speak so that others listen • Scaling yourself as an engineering leader Where to watch: • Youtube: https://lnkd.in/gspAp-SK • Spotify: https://lnkd.in/g4n-fUxe • Apple Podcasts: https://lnkd.in/gm8r-2_R What’s funny is in conversation I discovered that Philip Su (from a previous episode) and David were constantly battling for the top talent in London. Philip was the London site director for Meta and David was his counterpart at Google. They grew close out of mutual respect and it’s why Philip spoke highly of David’s expertise. If you haven’t seen the Philip episode I also recommend that one! https://lnkd.in/dh2HZtub

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One question I asked at the end of every interview at Meta Amazon TikTok What’s the biggest mistake new grads do at the start of their career that I should avoid? Surprisingly the answer has always been SAME! Even my mentors and managers at Meta has given excatly same advice during our 1:1s. “Don’t be a lone wolf. If you’re stuck for an hour, unblock yourself by asking teammates rather than wasting time.” 🙂 It sounded generic at first. But after 5 months in, I see how impactful it is. When we get stuck, we keep pushing alone and don’t realize the size of the problem. We call it “learning to work independently”, but it often wastes time and risks deadlines. Why don’t we ask? Usually fear. We worry a basic question will make us look naive. 😢 But it’s better to unblock and deliver on time than to stay blocked and look incompetent for not finishing the work. ⏰ Two examples from my first five months that shaped my attitude: During my second month, I got a task to add a feature to our test runner: collect key data from devices after tests and show it on our internal CI. I finished the code in a day and thought, nice, quick win. 🤩 Then the testing part started. I needed to understand how device testing actually works. What steps to execute before a run. Which dev server to point to. How to lease a remote device. Which device type to pick. How to build the test runner modules. What the exact command should look like. How to read logs when something goes sideways. The checklist kept growing…… 😵‍💫 I spent more than 10 hours trying to stitch together the “right” test plan on my own. I didn’t have enough context, but I didn’t realize it yet. When I finally asked the right person, I got the exact steps in minutes. Real unblock, right away. Another time, the feature was built and tests were green. But, “I was under the assumption” that files were uploading to the wrong location. 🤦🏻‍♂️ I chased that for 8 hours, digging through paths and logs. Then I asked a teammate, only to realise the location was correct and there was no bug. The only issue was my wrong assumption. 😬 These two moments taught me the real move: ask the right person, at the right time, with the right context. That’s how you get unstuck fast, learn faster, and keep deadlines safe. This mindset helped me ramp up on the team and deliver real impact without slipping. If you’ve joined a new team and you’re struggling to blend in, ask more questions. Learn from the interactions. Not everything has to be done alone, especially early in your career. All the best! 🤝 #NewJob #CareerJourney #DreamJob #CareerGoals #JobUpdate #ProfessionalGrowth #CareerMilestone #JobAnnouncement #Meta #MetaCareers #RealityLabs #Metaverse #TechIndustry #AugmentedReality #VirtualReality #HardWorkPaysOff #KeepGrinding #NeverGiveUp #SuccessStory #Perseverance #ChasingDreams #CodePath #TechCommunity #ProfessionalNetwork #Mentorship #CareerSupport #LinkedInUpdates

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✨ My Experience Interviewing with Coinbase And Here's What I Learned ✨ A few months ago, I had the opportunity to interview with Coinbase - an experience that was both intense and enriching. I walked away with valuable lessons and a clearer perspective. Here's what I’d love to share with anyone preparing for similar opportunities: ✅ DOs: Brush up on core DSA concepts. Focus on patterns, not just problems. Brute Force initially is okay but make sure you optimize the code in the end. Practice coding on a whiteboard or Google Doc (No room for syntax errors). Simulates real interview conditions. Of course solving Leetcode, Hackerrank, Hackerearth helps but quality over quantity! I solved a few but the ones which actually tested my DSA skills. Solve Medium to hard level problems. Think out loud. It helps the interviewer understand your approach, even if you're stuck. Clarify the problem before jumping to code - assumptions can derail you. Stay calm and confident. It's okay to pause and collect your thoughts. ❌ DON'Ts: Don’t ignore edge cases - interviewers often test your attention to detail. Don’t panic if the first idea doesn’t work. Think aloud (this is most important and helped me a lot!) and pivot. Don’t just code to complete - optimize and explain your choices. This experience pushed me to improve, and I’m genuinely grateful for the challenge. If you're preparing for interviews at big tech companies, stay consistent, seek feedback, and never stop learning - every attempt is a step forward. 🚀 To know more about the rounds I cleared and the problems feel free to reach out and I will be happy to help! 😊 #CoinbaseInterview #SoftwareEngineering #TechInterviews #DSA #CodingInterview #LinkedInTech

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Paxos applies for an OCC charter, proving it’s been playing 4-D chess all along. Gemini files for IPO. Citi eyes stablecoins. Plus more. 👇 💠 Paxos to Pursue National Trust Charter Paxos has applied to convert its NYDFS trust charter into a national trust charter under the OCC. Paxos was the first blockchain company to secure a NYDFS trust charter in 2015 and later issued the first regulated stablecoin in 2018. All Paxos stablecoins (PYUSD, USDP, USDG) are the only bankruptcy-remote stablecoins in the market, with reserves held in segregated accounts that give holders direct legal rights to redemption even if Paxos were to fail, a safeguard not available for USDC or USDT. An OCC charter would allow Paxos to operate nationwide without state-by-state approvals, and when combined with oversight in the EU, Singapore, and Abu Dhabi, Paxos is positioned as one of the most trusted infrastructure partners for institutions worldwide. 🚀 Gemini Files for IPO Gemini has filed to go public under ticker GEMI on the Nasdaq Global Select Market. Founded in 2014 by Cameron and Tyler Winklevoss, Gemini operates as both an exchange and a custodian, offering a suite of products including a regulated U.S. dollar-backed stablecoin and a crypto rewards credit card. The S-1 filing reveals widening losses, with a net loss of $158.5 million on $142.2 million in revenue in 2024 and an even deeper $282.5 million loss on $67.9 million in revenue in just the first half of 2025. Despite the financial headwinds, the IPO signals strong intent to compete at scale and highlights the continued push of crypto-native companies into public markets. 🏦 Citigroup Eyes Stablecoin Custody & Payments Citi is exploring crypto custody and payment services, starting with custody for high-quality assets backing stablecoins. The bank is also weighing custody offerings for Bitcoin and Ether ETFs, signaling Wall Street’s increasing push into digital assets. 🇯🇵 Japan to Approve Yen-Backed Stablecoins Japan’s FSA is preparing to approve yen-denominated stablecoins this fall. Fintech firm JPYC will lead the rollout, backed by bank deposits and government bonds. This marks the country’s first domestic fiat-pegged digital currency. 🪙 Coinbase Cuts USDC Fees on MetaMask Coinbase and Mercuryo have partnered to lower on-ramp fees for USDC users on Base via MetaMask. The move follows Circle’s announcement of a USDC-native Layer 1, which would position USDC as both a payment and gas token. 🌐 BVNK Expands to All 50 US States with Paxos BVNK is now offering stablecoin payments nationwide, leveraging Paxos’ trust charter to cover New York. Enterprises will soon be able to access Paxos’ USDG stablecoin (regulated in the EU and Singapore) through BVNK later in 2025. 📈 Bullish IPO Soars Bullish (parent of CoinDesk) surged 90% on its first trading day, closing at $70 and reaching a market cap above $10B.

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PMs in SF make $280-$380K with 5 YOE. Here's how to get one of those roles: I researched the data and processes at top firms. 1. PM pays right under SWE When you compare pay by roles for 5 YOE in SF: • SWE: $320-430K • PM: $280-380K • Data Scientist: $240-320K • UX Designer: $200-280K • Marketing Manager: $180-250K • Technical Writer: $160-220K (This is the 10th-90th percentile range I estimate based on lots of experience in market, excluding outliers) Companies like Meta, OpenAI, Airbnb, Microsoft, Amazon, Netflix, Apple, Google, Stripe and Uber are constantly hiring PMs towards the top end of that band. 2. There are 5 Categories of Interviews: a. Behavioral Interviews (40%) STAR is your friend here. Don't overcomplicate. Build a story bank of 5 stories that you can apply to different questions. Choose stories that exemplify your advantages in experience related to the specific role. More guidance: https://lnkd.in/gS-CKH9P b. Case Interviews (30%) These fall into many buckets: • Product sense • Product design • Product strategy • Product execution Bring your own set of favorite frameworks for each. My guide: https://lnkd.in/eAYkV7S3 c. Leadership (15%) They want to see you exemplify predictable traits: • Vision setting • Team leadership • Stakeholder management More detail: https://lnkd.in/eGhgVNyh d. Presentation + Homework (8%) These are big time investments: • Structure your story • Show exec presence • Build a base for common assignments Guidance: https://lnkd.in/eiP9MBQH e. Technical Fluency (7%) The more technical the PM role, the more likely these questions. They're often just 1 round out of a 6-7 round process. And just 1/2 that interview. Topics like: • APIs & integrations • Database basics • Cloud infra • Mobile v web Breakdown: https://lnkd.in/dG9EFhiR Remember: practice is the most important thing! Practice with ChatGPT, friends, YouTube... Practice! P.S. I'm coaching a group of 30 PMs to dream their jobs. Apply before all seats sell: https://www.landpmjob.com/ 📌 Want to prep for a PM interview? Comment 'Interview' + DM me for my 150 PM question bank. This is the latest state of the PM interview. Follow Aakash Gupta for daily PM tips.

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Stripe is quietly building its own Layer 1 blockchain called Tempo with Paradigm Fortune spotted the project through a now-deleted job listing. Tempo is being built for one purpose: making stablecoin payments fast and easy. The team is small, just five people right now, and they are focused on high-speed transactions. Tempo will work with Ethereum’s smart contracts, so developers can use the tools they already know. This means they will not need to learn an entirely new system to start building. Stripe already owns Bridge for stablecoin infrastructure and Privy for wallet tech. Tempo gives them the last piece of the puzzle so they can control the entire payments stack from stablecoin creation to settlement on their own chain. With the new GENIUS Act creating clear rules for stablecoins in the US, the timing could not be better. Stripe seems ready to make stablecoin payments part of everyday business without relying on other networks. Bottom line: Stripe is not just joining crypto. It is aiming to own the rails stablecoins run on. Keeping an eye on this 👀

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Base salary growth ramps up between 0-10 years of experience at companies like Microsoft, Amazon, and Apple. But, meaningful comp growth later on comes from equity, not base salary. We looked at base salary across recent SWE offers from the past year at the companies with the largest volume of submissions in our data: Google, Meta, Apple, Amazon, and Microsoft. Across these companies, median base salary increases steadily with experience, especially early on. By around 8–10 years of experience, most engineers are already operating near the upper end of their base salary bands. From there, additional experience still shows up in base, but at a much slower pace. To put some rough numbers on it: - By ~10 YoE, median base salaries are already around $185k–$215k, depending on company. - From 10 to 20 YoE, median base typically increases by only $20k–$40k total. (Aside from Meta) - That’s over an entire decade of additional experience. This is where the picture can be misleading if you only look at base salary. Later-career compensation growth increasingly comes from equity, refreshers, and performance-based outcomes, not base. Two engineers with very similar base salaries can end up on dramatically different total compensation trajectories. And that gap is getting even wider in the current market. As companies lean harder into performance-based compensation and as AI-driven work creates outsized leverage for a smaller set of roles and teams, equity has become the primary way companies reward impact. Base salary still matters, but it’s no longer the main lever for growth once you’re past the early career phase. At more senior levels, equity begins make up more than half of an engineer’s yearly total compensation. Take L5s at Google, for example. By the “Senior Engineer” level, equity compensation is closing in on base salary compensation per year. Plus, when you factor in regular stock growth from these big tech companies, the gap between the two forms of compensation only grows wider. The takeaway isn’t that base salary “stops” growing. It’s that in the performance and AI era, base sets the floor, while equity defines the upside. If you’re thinking about long-term compensation growth, that distinction matters more than ever. #salarytransparency #compensation

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