These benchmarks give founders and India team leaders a realistic 2026 picture by seniority and city. Treat them as directional ranges; replace them with Talhive's live placement data before you set offers.
How to Read These Benchmarks
All figures are total annual compensation in Indian Rupees, covering fixed plus variable, not base alone. Ranges are wide because specialization, company tier, and scarcity move them. For a scarce skill, the right target is a high percentile, not the median, because the median loses the people you actually want.
Salary by Seniority
| Level | Bangalore | Pune | Hyderabad |
|---|---|---|---|
| Mid (3 to 6 yrs) | ₹22L to ₹38L | ₹18L to ₹32L | ₹18L to ₹33L |
| Senior (6 to 10 yrs) | ₹40L to ₹65L | ₹35L to ₹55L | ₹35L to ₹58L |
| Staff / Lead | ₹60L to ₹90L | ₹52L to ₹78L | ₹52L to ₹80L |
| Principal | ₹85L to ₹1.2Cr | ₹70L to ₹1.0Cr | ₹72L to ₹1.05Cr |
| Engineering Manager | ₹50L to ₹80L | ₹45L to ₹70L | ₹45L to ₹72L |
The AI and ML Premium
AI, ML, and applied research roles carry a clear premium over general software engineering at the same level, often 20 to 40% higher, because the qualified pool is far thinner. For frontier skills the band breaks entirely and becomes a negotiation. Budget for the premium rather than discovering it mid-search.
The City Differential
Pune and Hyderabad sit roughly 10 to 20% below Bangalore at senior levels. That gap is real but should be read alongside attrition: a lower Bangalore offer that you have to re-make in a year is more expensive than a competitive Pune offer that stays. The cheapest hire is the one you keep.
What This Means for Your Budget
Set bands by level and city, target the right percentile for each role's scarcity, and weight retention into the number, not just the hire. The India tech hiring market map gives the wider supply picture behind these figures.
Setting compensation bands for an India team?
Tell us the roles and cities. We will benchmark live offer data so you pay to hire and to keep.
Book a Discovery Call →Published benchmarks tell you the market; live placement data tells you what actually closes offers this quarter. We benchmark every India team build against current offers, as we did for our climate-fintech GCC build, so your bands reflect reality, not a year-old survey.
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