Levels.fyi

We're bringing the heat with the Levels.fyi app 🔥 It was long overdue. And it's finally here. Levels you can view and tap natively in-app. Can't believe we were missing this feature in the app called "Levels". Excited to have our core namesake represented in the app, and a huge shoutout to Adithya V for making it happen 🚢. We have much much more on the way. We're reimagining how you explore compensation data on your phone. No more pinching, zooming, and horizontal scrollbars. We're creating smooth and snappy experiences that filter right to the data you want to see. And we're obsessing over all the details. Native feel. Swipe gestures. Haptic feedback. And we want to make it all lightning fast ⚡️ Download the app here: https://lnkd.in/gvW-m-mf I'm very excited for the next few updates we have in store 🚀 What are some features that are an absolute must for our app? #salarytransparency #app

When the recruiter asks the dreadful question...

Tech compensation is trimodal: meaning a software eng can make 2-4x the compensation, depending on what company they work at. Today, we validate this theory with more data points than ever: 20,000+, coming from Levels.fyi. We share data points with specific compensation numbers from the US, UK and India; median and 75th percentile values, and companies that offer the highest median compensation. For example, in the US, for entry-level software engineers (0-2 YoE): - Tier 1: $105K (50th percentile), $130K (75th percentile) - Tier 2: $180K (50th percentile), $203K (75th percentile) - Tier 3: $208K (50th percentile), $247K (75th percentile) Thanks very much to Hakeem S., Zuhayeer Musa, Zaheer Mohiuddin and the Levels.fyi team for helping with this research. Read it and browse all the data here: https://lnkd.in/eBmGD2CH

OpenAI has a unique compensation model and pays very well - how well? Let's take a look.

The untold story of golden handcuffs in the tech. Over the last 2-3 years an interesting phenomenon has been happening. Many tech employees have found themselves "handcuffed" to their roles due to significant stock growth compounding from their initial grants upon joining a growing company. New hire packages were incredibly competitive just a couple years ago especially for senior level roles. So with the added stock growth, my hunch is that these employees are pretty much tethered to their respective companies until they’re fully vested at the very least. The main concern would actually be layoffs. As the S&P 500 grew over 50% in the last 2-3 years, hires at companies like Uber, Meta, Robinhood, and Nvidia from that timeframe are seeing their total compensation skyrocket, making it nearly impossible to find comparable offers elsewhere. Especially in today’s market (unless you’re in AI). While high earners hold tight, those in lower-paying roles are stepping into new opportunities at today's lower packages. I feel that this may be the hidden cause behind some of the uneven talent movement today. These grants will inevitably start to fully vest out soon, and the market will tell what happens then. Below is a graphic highlighting senior software engineer offers from January 2022 with stock growth projected out to today. We're planning to work on a feature to view this projection on any data point available on Levels.fyi. Excited to start rolling it out. #salarytransparency #stockgrowth #goldenhandcuffs

How much do you value remote work? We were recently featured in an article on the Center for Economic and Policy Research (CEPR) discussing a finding that used Levels.fyi data to answer this exact question. The key finding: “On average, individuals are willing to forgo 25% of their total compensation for a job that offers partially or fully remote work but is otherwise identical to a fully in-person position.” Read more here: https://lnkd.in/gbDRvtMR

📈AI/ML-focused SWEs are paid more than their counterparts in other specializations at every level.📈 LinkedIn recently shared data revealing the fastest-growing jobs in 10 major U.S. metropolitan areas with AI/ML engineers being near the top. I thought it’d be cool to take a look at what compensation for AI/ML engineers looks like at each level when compared to SWEs of other specializations. Not-so-surprisingly, the median compensation package for AI/ML engineers at every SWE level surpasses that of other SWE specializations, according to the Levels.fyi data. At each level, we see at least a ~10% difference between the pay of other specialization and the AI/ML specialization. - Entry Level AI/ML engineers are paid 8.26% more - Software Engineer-level AI/ML engineers are paid 19.83% more - AI/ML Senior Engineers are paid 25% more - Staff Engineers are paid 31.5% more - Principal Engineers are paid 38.47% more These are total compensation numbers, including base salary + equity + bonus. *To normalize the data a bit, this chart takes a look at SWE offers submitted to Levels.fyi within the past year and are from the Bay Area, Seattle, or NYC.* What do you think of these numbers? Do SWEs with AI/ML skills warrant the higher pay or is it only because of the AI bubble? Let me know what you think! P.S. Take a look at AI/ML SWE salaries here: https://lnkd.in/gh2z8mfj #salarytransparency #AI #softwareengineering