1

Levels Fyi Jobs (NOW HIRING)

Benchmark relentlessly against the AI, infrastructure, and tech companies we compete with for talent, using Radford, Pave, OpenComp, Levels.fyi, or similar. Ship guidance, not raw data. * Build tools ...

A track record using market data (Radford, Pave, OpenComp, Levels.fyi, Mercer, or similar) to benchmark and calibrate pay * Experience partnering with cross-functional stakeholders, with deep ...

Total Rewards Lead

Manhattan, NY · On-site

$200 - $260/hr

Are data‑driven -- you use market data (Pave, Levels.fyi, etc.) to anchor decisions and can build clean, defensible comp models * Have experience partnering with Finance on headcount planning, comp ...

Total Rewards Lead

New York, NY · On-site

$200K - $260K/yr

Are data-driven - you use market data (Pave, Levels.fyi, etc.) to anchor decisions and can build clean, defensible comp models * Have experience partnering with Finance on headcount planning, comp ...

Are data-driven - you use market data (Pave, Levels.fyi, etc.) to anchor decisions and can build clean, defensible comp models * Have experience partnering with Finance on headcount planning, comp ...

Compensation Lead

New York, NY · On-site

$200K - $235K/yr

Conduct rigorous, ongoing competitive benchmarking and market analyses using tools like Radford, Mercer, or Levels.fyi. Translate research into practical, actionable guidance - not just data for the ...

Familiarity with compensation benchmarking tools (Pave, Levels.fyi, Radford). * Experience building or improving recruiting processes and infrastructure from the ground up. At this time, Tapcheck ...

Recruiting Coordinator

New York, NY · Hybrid

$22 - $29.25/hr

Own end-to-end scheduling of phone, video, and onsite interviews across all job levels and functions, supporting hiring globally across North America, EMEA, and APAC * Use Candidate.fyi to coordinate ...

next page

Showing results 1-20

Levels Fyi information

See salary details

$75.5K

$287.8K

$400K

How much do levels fyi jobs pay per year?

As of Aug 27, 2026, the average yearly pay for levels fyi in the United States is $287,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $200,000.00 and $400,000.00 per year, depending on experience, location, and employer.

What is Levels.fyi?

Levels.fyi is a platform that provides transparency into career levels, compensation, and progression across major tech companies. It offers detailed data on salary ranges, job titles, and leveling frameworks to help job seekers and employees understand how different companies structure their roles. Users can compare salaries, benefits, and career paths, making it easier to negotiate offers and plan their careers. The site is widely used by professionals in the tech industry to gain insights into pay equity and advancement opportunities.

What is a Levels Fyi job?

A Levels.fyi job refers to roles listed on the Levels.fyi platform, which helps professionals compare salaries, benefits, and career progression across tech companies. The site provides transparency into compensation data, job levels, and company structures. Users can explore job listings, negotiate offers, and make informed career decisions based on real-world salary insights.

What are the key skills and qualifications needed to thrive as a Compensation Analyst at Levels.fyi, and why are they important?

To thrive as a Compensation Analyst, you need strong analytical skills, proficiency in data analysis, and a background in finance, business, or human resources, often supported by a relevant degree. Familiarity with compensation management tools, HRIS systems, and advanced Excel or data visualization platforms is typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills for interpreting data and presenting insights. These skills ensure accurate market benchmarking, informed compensation decisions, and clear communication with stakeholders.

How does understanding company leveling frameworks, like those on Levels.fyi, help candidates negotiate better job offers?

Familiarity with company leveling frameworks allows candidates to accurately benchmark roles and compensation against industry standards and peer companies. This knowledge helps you assess if an offer aligns with your experience and expectations, and provides data-driven leverage during salary negotiations. Additionally, it can clarify potential career advancement paths and set realistic expectations about responsibilities and growth within the organization.

What is the difference between Levels Fyi vs Data Analyst?

CriteriaLevels FyiData Analyst
Required CredentialsVaries; often includes degrees in related fields, certifications like SQL or ExcelBachelor's degree in data science, statistics, or related field; certifications like Microsoft Excel or SQL
Work EnvironmentTech companies, startups, consulting firmsCorporate, finance, healthcare, and tech industries
Employer & Industry UsageUsed by tech companies to define career levelsCommonly used across industries for data-related roles
Search & Comparison IntentUnderstanding career levels and growth pathsJob responsibilities, skills, and salary comparisons

Levels Fyi provides a broad overview of career levels within tech companies, while Data Analyst focuses on specific job roles involving data analysis. Both are useful for understanding career progression and job expectations in data-related fields.

More about Levels Fyi jobs

What are the most commonly searched types of Levels Fyi jobs?

The most popular types of Levels Fyi jobs are:

Infographic showing various Levels Fyi job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $287,784 per year, or $138.4 per hour.

Full-time

Posted 9 days ago


Job description

What We're Looking For

At a company scaling this fast, compensation is a modeling problem before it's an HR problem, and we're looking for someone who treats it that way.

This is a build role. You'll own compensation philosophy, incentive and equity design, and the models and tools the business actually runs on: market research turned into clear recommendations, offer and leveling frameworks that People and Finance reach for, and fast, defensible answers in the moments that matter: performance cycles, offer decisions, retention calls.

If your background comes from strategic finance, FP&A, analytics, or compensation built on real modeling, and you'd rather build the model than hand it off, keep reading.

What You'll Do
  • Own the model. Build and maintain the comp and equity models, ranges, and scenario tools the company runs on, including cash-versus-equity tradeoffs. You build these yourself.
  • Own the cycles. Run annual and off-cycle comp planning end to end: strategy, budget, execution. Stay hands-on through the last approval.
  • Turn market data into decisions. Benchmark relentlessly against the AI, infrastructure, and tech companies we compete with for talent, using Radford, Pave, OpenComp, Levels.fyi, or similar. Ship guidance, not raw data.
  • Build tools people use. Develop offer decisioning, leveling guidance, and performance-cycle resources that cross-functional teams rely on to move faster and with more confidence.
  • Support performance cycles. Keep comp inputs into review and calibration accurate, consistent, and tied to strategy.
  • Run it like a data function. Build reporting and dashboards that surface pay equity, offer competitiveness, and retention risk, so decisions get smarter over time.
What You'll Need
  • 3+ years in compensation, strategic finance, FP&A, analytics, or a comparably quantitative role, with real ownership of comp planning and the models behind it
  • Proven ability to drive compensation planning in step with business and People strategy,  come ready to walk through specifics
  • Strong modeling and analytical skills: you build and maintain complex comp and equity models and translate the output into clear recommendations for senior leaders
  • A track record using market data (Radford, Pave, OpenComp, Levels.fyi, Mercer, or similar) to benchmark and calibrate pay
  • Experience partnering with cross-functional stakeholders, with deep knowledge of at least one competitive talent market (AI, infrastructure, tech, or similar)
Nice to Have
  • Background in AI, cloud/infrastructure, or data centers
  • Equity and incentive design experience, including private-versus-public equity frameworks and the modeling that pre-IPO scaling demands
  • Experience operating inside a rapid-scaling, pre-IPO environment, and a firsthand sense of how comp breaks and gets rebuilt at each stage