No more guesswork. Hire with data!
Know the gap. Find the role. Hire the person.
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Know the gap. Find the role. Hire the person.
Turn a plain English description of what you need into the exact job title, salary range, and candidate profile — in seconds.
SkillMapper has 188 roles across 18 departments. Pick the entry point that matches what you know:
Each card shows the required skills (non-negotiable), nice-to-have skills, salary by level in INR and USD, and an amber hiring tip with context specific to the role.
Click Junior / Mid / Senior / Lead on the salary selector to see the experience range and pay for each level. Leave the level empty in your JD if you're open across levels.
Every result card shows you four things: what the role actually does (plain English description), the skills required at that level, what market salary to expect by Junior / Mid / Senior / Lead, and a smart hiring tip specific to that role — when to hire it, what to watch for, common mistakes.
Once you have the right role, click "Search in TalentXRay". It opens pre-filled with the job title and top skills — ready to find real candidate profiles on LinkedIn, GitHub, Stack Overflow, or Behance via Google X-Ray search.
No LinkedIn Recruiter licence needed. The full workflow takes under 2 minutes from role identification to Google search results.
Don't say "marketing person" — say "grow our user base organically through content and SEO". The more specific the description, the better the match.
60% with 2 skills entered is a strong signal. 20% with 8 skills entered is weak. More skills entered = stricter scoring = more meaningful percentages.
These tips are written from real JD patterns. They tell you when a role is right for your stage, what to add to your search, and when founders typically over- or under-hire.
The "Also called" section shows all the different names for the same role. Use these in TalentXRay to cast a wider net — candidates use different titles for the same job.
Bangalore, Mumbai, and Delhi pay 20–40% above the ranges shown. Hyderabad and Pune are roughly at the mid-point. Remote roles follow Bangalore rates in most cases.
If you described something like "data person" and got 6 matches, use the Data department filter to see only data roles, then compare them side by side.
Salary data — how we built it and what it means. The ranges you see are market estimates built from publicly available sources: Glassdoor India, AmbitionBox, Naukri, and iimjobs for India ranges; Levels.fyi, Glassdoor US/UK, LinkedIn Salary, and Blind for global ranges. We did not verify these against any proprietary database or conduct a formal compensation survey. They represent patterns we observed across public data up to early 2026. Actual compensation varies significantly by company size, city, funding stage, and candidate profile — treat these as a starting point, not a source of truth.
We are crowdsourcing better data. When you click Mid, Senior, or Lead salary levels, we invite you to share your own CTC anonymously. Every submission helps us move from estimates to real percentile data. Once we have enough submissions per role, we will show 25th and 95th percentile ranges sourced directly from professionals like you. Your data is stored anonymously — no name, no email, just role, experience band, CTC, currency, and country.
Cross-reference before acting. We recommend verifying with AmbitionBox, Glassdoor, or Levels.fyi before making or evaluating an offer. INR figures are CTC (base + PF + variable). USD figures are total compensation at growth-stage companies.
Role database covers 200+ roles across Engineering, Data, Design, Product, Marketing, Sales, HR, Finance, Operations, and Legal. Role definitions, required skills, and experience bands are derived from patterns across thousands of real JDs and public salary data up to Q1 2026.
Skills database contains 1,400+ skills across 74 categories — covering tech, non-tech, industry-specific, and emerging skills. Last updated: Q1 2026.