Levels.fyi is built for Big Tech. Here's what to use if you're not.
Levels.fyi has the best compensation data in the world for Google, Meta, and Amazon engineers. For everyone else, the data gets sparse quickly. Here are 6 alternatives worth using in 2026, compared by coverage, data source, and who each one is actually built for.
Alex Vavilov
CEO at Glozo | Helping Recruiters & Agencies Cut Sourcing Time by 80% with our Talent Intelligence Platform

Levels.fyi is the best salary data source in the world for engineers at Google, Meta, Amazon, Microsoft, and Apple. If you work at one of those companies, you should use it. The data density, the total compensation breakdowns (base, bonus, equity), and the level-by-level granularity are unmatched.
Outside the top 50 or so tech employers, the picture changes. Coverage drops. Sample sizes shrink. A search for your company returns two self-reported data points from 2022. That's not enough to anchor a negotiation on.
If you're a senior engineer at a mid-size tech company, a product manager at a Series B startup, or a professional in a non-tech industry, you need different tools. This guide covers six of them: what they do well, where they fall short, and which situation each one fits best.
Why Levels.fyi has gaps worth knowing about
Before getting to alternatives, it helps to understand exactly where Levels.fyi's model breaks down. The platform collects self-reported compensation submissions. Members submit their total compensation package (base, equity, bonus) along with company and level. This crowdsourcing model works brilliantly at scale. Google has thousands of submissions. But scale is unevenly distributed.
The second issue is structural: Levels.fyi is designed around company levels. To get useful data, you need to know your exact level designation (L5, E6, IC3) and how it compares across companies. If your company uses non-standard titles or doesn't publish level ladders publicly, you're guessing at your own tier before you've even run the search.
Third, the platform is built entirely around total compensation, which skews toward equity-heavy roles. If you're benchmarking a role where equity is not a major component (most non-FAANG positions), the base salary data is there but it's not what the tool is optimized to show you.
Levels.fyi covers 109 job titles, and none of them is a warehouse role
We counted them on September 4, 2026. The public title directory at levels.fyi/t lists 109 job titles. Warehouse operations, logistics, supply chain, distribution and inventory have none of their own. The closest entries are marketing operations and facilities manager.
That is not a flaw in the product. Levels.fyi was built for technology compensation and it is the best tool in the world at that job. It does mean that for a large share of the US labor market, the question of which alternative to use has an easy answer, because Levels.fyi has nothing there to compare against.
Three sources, three different numbers for the same job
We looked up four roles in three sources. The Levels.fyi and BLS figures were read on September 4, 2026. The PayScope figures are the medians its own guides published on September 10, 2026, and two of the four moved that day, because PayScope regenerates them monthly on a stated method. All figures are US national medians.
| Role | Levels.fyi (median total comp) | PayScope (median advertised base) | BLS (median wage, May 2025) |
|---|---|---|---|
| Software Engineer | $195,000 | $157,500 | $135,980 |
| Product Manager | $230,000 | $126,500 | No BLS occupation with this title |
| HR Manager | $140,000 | $100,000 | $149,280 |
| Warehouse Operations Manager | No data | $82,178 | $107,230 |
One note on the middle column, because the four figures are not all on the same footing. The software engineer and HR manager numbers were regenerated on September 10, 2026 from US postings collected to August 31, and both are corrected for the fact that pay-transparency states disclose pay more often than other states. The product manager and warehouse figures are the earlier ones and have not been through that correction yet. Where a number here differs from the role's own guide page, the guide page is the current one.
The numbers sit far apart and none of them is wrong. They answer three different questions.
Levels.fyi reports total compensation, base plus equity plus bonus, from people who volunteer their own numbers, and its contributors work disproportionately at large technology employers. That is why it lands 43% above the government figure for software engineering and level with it for HR.
PayScope reports the base salary advertised in job postings, which is what an employer offers someone not yet hired. BLS surveys employers about what people currently earn, which includes staff who have held the job for a decade and were never re-advertised. On three of these four roles the posting median runs below the survey median, which is the expected direction rather than an error. Software engineering is the exception, and it is worth saying why rather than leaving it as an oddity: PayScope's figure sits about 16% above the BLS one. Two things put it there. The software engineer sample leans senior, because two thirds of the postings that state pay also state a level and most of those are senior or lead. And the BLS figure has a May 2025 reference period, so it is 12 to 18 months behind a posting collected this August.
Two rows still need a warning label. Levels.fyi files HR as a job family rather than a title, so its $140,000 covers HR at every level while the BLS figure counts managers only. And our own HR Manager number sits about a third under BLS. In September we said we were checking how that title is matched. Here is the answer. Five posted titles map to the role, all five are manager-level, their medians run from $100,000 to $118,000, and no specialist, generalist, coordinator or assistant title is in the set. So the gap is not a title-matching artifact. What remains is that BLS occupation 11-3121 counts managers inside larger HR departments, while a posted HR manager job is frequently the entire HR function at a smaller employer. Those are two different populations of job, and the honest answer is that neither number is wrong.
So the practical rule depends on what you are about to do. If you are deciding what to ask for in an offer, use what employers are advertising right now. If you are asking for a raise in a job you already hold, the incumbent wage is closer to your situation. And if you work at a large technology company where equity is a real part of the package, Levels.fyi is measuring the thing you actually take home.
Who needs a Levels.fyi alternative
Three situations come up most often:
You work in tech but not at a household-name company. Your employer might have 200 engineers, pay competitively, and have no Levels.fyi data worth using. You need a tool that pulls from job postings and surveys across the broader market, rather than self-reports concentrated at a handful of employers.
You're in a non-tech or mixed-tech role. Product managers, data analysts, and technical program managers at non-tech companies won't find meaningful data on Levels.fyi at all. The platform's frame of reference is FAANG engineering compensation.
You want resume-based analysis rather than a manual lookup. Levels.fyi requires you to know your company, your level, and your location to get a result. If you want a tool to assess your full profile (skills, years of experience, role history) and return a market rate, you need something different.
Quick comparison
| Tool | Best for | Non-FAANG coverage | Data source | Cost |
|---|---|---|---|---|
| PayScope | Resume-based market rate, non-FAANG tech and mixed roles | Strong | Live job postings + AI analysis | Free to start |
| Glassdoor | Broad industry coverage, company culture context | Good | Self-reported | Free |
| LinkedIn job posts | Pay range on a specific open role you are looking at | Good | Employer-posted ranges | Free |
| Payscale | Profile-based benchmarking with skills and certifications | Good | Survey-based | Free (limited) |
| Salary.com | Formal compensation reports, HR-quality data | Good | Employer surveys | Free (limited) |
| BLS OES | Non-tech and regulated industries, authoritative baseline | Excellent | US government surveys | Free |
1. PayScope
Best for: Professionals who want a market rate based on their actual resume rather than a manual lookup by company and level.
PayScope takes a different approach from Levels.fyi. Instead of asking you to select your company and level from a list, it reads your resume or LinkedIn profile and benchmarks your full profile against current job posting data. The result reflects what employers are actively paying for your combination of role, experience, skills, and location. Not what employees self-reported at a handful of well-known companies.
This makes PayScope particularly useful in two cases. First, if your company isn't in Levels.fyi's dataset or has thin coverage, PayScope still returns a market rate because it draws from job postings rather than employee submissions. Second, if you're exploring a job change and want to understand your market value without anchoring to your current company's level system, the resume-based approach gives you a number that travels with you.
PayScope is free to start and focused on US professionals. You create an account, upload a resume or a LinkedIn PDF export, and get a market range, your percentile in it, and the skills moving your number.
Limitations: Because the data comes from job postings rather than verified employee submissions, it reflects what companies advertise rather than what they actually pay. Posting salaries can understate total compensation at equity-heavy employers. For FAANG roles where equity represents a large share of total comp, Levels.fyi remains the better source.
Use it when: You want to know your market value and either your company isn't on Levels.fyi, or you want a salary picture that reflects your full profile rather than a company-level lookup.
2. Glassdoor
Best for: Broad coverage across industries and company sizes, with salary data alongside company reviews.
Glassdoor has one of the widest coverage footprints of any salary tool: millions of company pages across industries, geographies, and role types. For professionals outside tech, it's often the first credible source of salary data. For tech professionals at non-FAANG companies, Glassdoor typically has more data points than Levels.fyi for mid-size employers.
The salary data shows up alongside company reviews, interview questions, and benefits information, which gives you useful context when evaluating a specific offer. Knowing that a company's engineering salaries average $142K means something different when you can also read that the team is stretched and attrition is high.
Limitations: The self-reporting model introduces selection bias. Employees are more likely to submit data when they want to brag or complain, which skews the sample. Coverage also thins fast at smaller employers, where a handful of submissions can set the median. Treat it as a reference point, not a precise benchmark. See our broader comparison of salary benchmarking tools for a full analysis of how Glassdoor compares across dimensions, or what Glassdoor's numbers are actually built from.
Use it when: You want salary data for a non-tech role, a company outside Big Tech, or you want to combine salary research with company culture context before accepting an offer.
3. LinkedIn pay ranges on job posts
Best for: Seeing what a specific open role pays while you are already looking at it on LinkedIn.
LinkedIn used to run a standalone salary explorer at linkedin.com/salary. It is gone. The URL returns a 404, and the member-reported salary database behind it went with it. What LinkedIn offers now is narrower and easier to miss: a pay range attached to individual job posts, either entered by the employer or read out of the posting text.
That still reaches places Levels.fyi never has. LinkedIn carries postings in every industry, so a marketing director in healthcare or an operations lead in logistics can see current ranges for roles Levels.fyi has no data on at all. The trade is that you see one open job at a time instead of a distribution for your title.
Limitations: There is no aggregate view any more. You cannot look up a title and get percentiles, only read ranges off whatever happens to be posted. How much you see depends on how many employers publish pay, which varies by state and by company. And a posted range is what a company advertises, not what it ends up paying.
Use it when: You are already browsing LinkedIn jobs and want a fast read on what a specific opening pays before you apply or answer a recruiter.
4. Payscale
Best for: Professionals who want a benchmark that accounts for education, certifications, and specific skills alongside title and location.
Payscale's profile-matching model is its main advantage over simpler lookup tools. You enter your job title, location, years of experience, education level, and specific skills or certifications, and the tool returns a salary range calibrated to that full profile. For roles where compensation varies based on credentials (project managers with PMP certifications, engineers with specific cloud platforms, data professionals with particular tool sets), Payscale often returns a more accurate range than tools that use title and location alone.
Limitations: The free report provides a range but pushes toward a paid Personal Salary Report for deeper detail. Data coverage is stronger for common roles and large markets, weaker for senior and executive levels above $150K. Payscale acknowledges their data can lag market moves by several months.
Use it when: Your compensation is meaningfully affected by specific certifications or skills, and you want those reflected in your benchmark. For a full breakdown of how Payscale compares to other tools, see our top Payscale alternatives guide.
5. Salary.com
Best for: Professionals who want employer-survey data rather than self-reported figures.
Salary.com compiles data primarily from employer compensation surveys, which means the data reflects what companies are actually paying rather than what employees say they earn. This distinction matters: employer-survey data tends to be more accurate for mid-level professional roles because it's collected systematically rather than voluntarily.
The platform covers a wide range of roles and includes detailed percentile breakdowns (10th, 25th, 50th, 75th, and 90th percentile), which gives you a more complete picture of where you sit in the range rather than just a median figure.
Limitations: The free tier shows limited detail. Full percentile reports and the complete compensation breakdown require a paid account. Data is updated periodically rather than in real time.
Use it when: You want a more formal, survey-based data source to support a compensation conversation with HR, or you want to understand the full percentile range rather than just the median.
6. BLS Occupational Employment and Wage Statistics
Best for: Non-tech professionals and anyone who needs an authoritative, government-verified baseline.
The Bureau of Labor Statistics publishes annual wage data for over 800 occupations across every US metro area. The data is collected through employer surveys covering 1.1 million establishments and is the most methodologically rigorous salary source publicly available. It's also free, with no account required.
For regulated industries (healthcare, law, government contracting, education), BLS data is often explicitly referenced in compensation decisions. Knowing the BLS median for your occupation in your metro area gives you a defensible floor for any salary conversation.
Limitations: BLS data is updated annually and runs 12-18 months behind the current market. It reflects base wages only and does not include equity, bonuses, or benefits. Coverage is by occupation category, not specific job title, so a "software developer" and a "senior software engineer" fall into the same bucket.
Use it when: You want a verified baseline for a non-tech role, you work in a regulated industry, or you need an authoritative source to cite in a formal compensation review.
How to choose
If Levels.fyi's data is thin for your company or role, start with PayScope for a resume-based market rate, then cross-reference against Glassdoor for broader industry context. Two data points that agree give you a defensible number.
If you're in a non-tech role, skip Levels.fyi and read the pay ranges on current LinkedIn postings alongside BLS data. LinkedIn shows you what employers are advertising this month; BLS gives you the authoritative floor.
If you're building a case for a raise and need to present data to HR, Salary.com's employer-survey data and BLS figures carry more weight in a formal review than self-reported crowdsourced numbers. Once you have the data, our guide on how to ask for a market adjustment raise covers exactly how to use it in that conversation.
For a detailed walkthrough of how to use multiple tools together to build a complete salary picture, see our guide on using data to negotiate a better salary.
Frequently Asked Questions
Is Levels.fyi accurate for non-FAANG companies? For most companies outside the top 50-100 tech employers, Levels.fyi has too few data points to be reliable. Sample sizes of 2-5 self-reported submissions don't produce a stable median. Use Glassdoor, Payscale, or PayScope for broader coverage.
What's the best free alternative to Levels.fyi? For tech professionals outside Big Tech, PayScope is free and uses job posting data rather than self-reports. For non-tech roles, BLS OES is free and government-verified. Glassdoor is free for basic salary ranges across all industries.
Does any tool cover total compensation (base + equity + bonus) like Levels.fyi? Levels.fyi is still the best source for total compensation data at equity-heavy tech employers. For roles where equity is a smaller component, base salary tools like PayScope, Glassdoor, and Payscale are accurate enough. Nothing else on this list reconstructs base, bonus and equity the way Levels.fyi does.
Which tool is most accurate for senior-level tech roles outside FAANG? PayScope draws from current job postings rather than historical self-reports, which gives it an advantage for senior roles at companies without Levels.fyi coverage. Payscale is also useful at the senior level because its profile-matching accounts for seniority more precisely than tools that use title alone.
Can I use multiple tools to cross-check my salary? Yes, and you should. Run PayScope for a resume-based figure, then check Glassdoor for your company and role specifically. When two independent sources agree within 10-15%, you have a reliable range. When they diverge significantly, dig into why: it's usually a methodology difference, a market timing difference, or a genuine spread within the role depending on experience. See our full salary benchmarking tools comparison for a detailed breakdown of how each tool handles this.
Is Levels.fyi useful outside the US? Levels.fyi has expanded internationally, but US data remains by far the most complete. For UK, European, and other markets, the data is thin enough that local salary sources are better starting points.
Why do salary tools give such different numbers for the same job? Because they measure different things. Levels.fyi reports total compensation including equity and bonus, from voluntary submissions concentrated at large technology employers, while PayScope reports the base salary advertised in current job postings and the Bureau of Labor Statistics surveys employers about what people already in the job earn. For the same four roles in September 2026, those three approaches produced numbers up to 82% apart. Which one to use depends on whether you are negotiating a new offer or a raise in the job you already hold.
Before you use any tool, start by knowing what question you're actually answering. If it's "what should I earn at Google as an L5 engineer," Levels.fyi is the right answer. If it's "what does the market pay for someone with my background," upload your resume to PayScope and find out in two minutes. If you're below market, our guide on what to do when you're underpaid covers the next steps.