How to Read These Benchmarks
The numbers below reflect 2025–2026 third-party data from compensation surveys (Mercer, Aon, Michael Page, Naukri, Cubeit), public salary disclosures (LinkedIn, AmbitionBox), and aggregated India tech salary reports.
Ranges are in INR Lakhs Per Annum (LPA), include base + variable + likely-vested ESOP value where applicable, and reflect Tier-1 cities (Bangalore, Hyderabad, Pune, Mumbai, Delhi NCR) unless otherwise specified. Tier-2 city benchmarks typically run 15–25% lower.
Software Engineering Roles
Software Engineer (IC, 0–3 years)
- Tier-1 product company: ₹15–35 LPA
- Tier-2 product / strong service: ₹10–18 LPA
- Service / consulting: ₹5–12 LPA
- Best-in-class FAANG-equivalents: ₹35–55 LPA
Senior Software Engineer (IC, 3–7 years)
- Tier-1 product company: ₹35–70 LPA
- Tier-2 product / strong service: ₹20–40 LPA
- Service / consulting: ₹15–30 LPA
- Best-in-class FAANG-equivalents: ₹70–110 LPA
Staff / Principal Engineer (IC, 7–12+ years)
- Tier-1 product company: ₹70–140 LPA
- Best-in-class FAANG-equivalents: ₹140–250+ LPA
Engineering Manager (5–10 years)
- Tier-1 product company: ₹50–120 LPA
- Best-in-class FAANG-equivalents: ₹120–200 LPA
Director / VP of Engineering (10+ years)
- Tier-1 product company: ₹120–250 LPA
- Best-in-class FAANG-equivalents: ₹250–500+ LPA
Data and ML Roles
Data Analyst (0–3 years)
- Tier-1 product company: ₹12–25 LPA
- Tier-2 / service: ₹5–15 LPA
Data Scientist (3–7 years)
- Tier-1 product company: ₹35–70 LPA
- Best-in-class: ₹70–120 LPA
Senior ML Engineer / Applied Scientist (5–10 years)
- Tier-1 product company: ₹50–120 LPA
- Best-in-class FAANG-equivalents / GenAI specialists: ₹120–250+ LPA
Product Roles
Associate Product Manager (0–2 years)
- Tier-1 product company: ₹15–30 LPA
- Tier-2: ₹8–18 LPA
Senior Product Manager (3–7 years)
- Tier-1 product company: ₹40–80 LPA
- Best-in-class: ₹80–130 LPA
Director / Group PM (8+ years)
- Tier-1 product company: ₹80–180 LPA
- Best-in-class: ₹180–350 LPA
Design Roles
Product Designer / UX Designer (2–5 years)
- Tier-1 product company: ₹18–40 LPA
- Tier-2: ₹10–22 LPA
Senior Product Designer (5–10 years)
- Tier-1 product company: ₹40–80 LPA
- Best-in-class: ₹80–130 LPA
DevOps and SRE Roles
DevOps Engineer (2–5 years)
- Tier-1 product company: ₹15–35 LPA
- Tier-2: ₹10–22 LPA
Senior SRE / Platform Engineer (5–10 years)
- Tier-1 product company: ₹40–90 LPA
- Best-in-class: ₹90–150 LPA
What Drives Salary Higher or Lower
Higher
- Product company vs. service company (1.5–2x premium)
- Tier-1 city vs. Tier-2 (15–25% premium)
- Specialized skills (ML, GenAI, distributed systems, security)
- ESOP-heavy compensation (skews variable)
- Multinational vs. Indian-origin company (often 20–40% premium for similar roles)
Lower
- Service-led businesses (consulting, IT services)
- Tier-2 cities (Hyderabad outside Hi-Tech City, Pune Tier-2 areas, Chennai)
- Generalist skills
- Non-tech industries (retail, manufacturing, healthcare hiring tech roles)
Compensation Composition
Tech compensation in India typically includes:
- Base salary: 70–85% of total at most companies
- Performance bonus / variable: 10–25%
- ESOP / RSU: 0–40% (heavily company-dependent)
- Joining bonus: Common for senior roles, 2–6 months base
- Other benefits: Health insurance, EPF, gratuity, leave encashment
ESOP-heavy compensation (typical at well-funded startups) can dramatically shift total comp — but ESOP value is uncertain until liquidity event.
Common Salary Benchmarking Mistakes
- Comparing apples to oranges. Service company senior engineer is not the same as product company senior engineer. Match level and company type.
- Ignoring ESOP volatility. Headline comp at startups often includes ESOP value that may not materialize.
- Outdated benchmarks. Tech salary data shifts every 12–18 months. Refresh regularly.
- Using only one source. Different surveys produce different numbers for similar roles. Triangulate.
- Not accounting for total cost. Joining bonus, ESOP, retention bonuses, and benefits all matter.
How to Use These Benchmarks
- For hiring: Set offer ranges with 70th–80th percentile data; expect negotiation
- For retention: Audit current compensation against benchmark; address material gaps
- For workforce planning: Forecast total compensation cost as you scale
- For internal calibration: Inform compensation philosophy and bands
Modern compensation platforms (Pave, Carta, PeoplePilot Analytics) automate benchmarking against your peer group.
Frequently Asked Questions
How often should we refresh salary benchmarks?
Annually at minimum. After major market shifts (funding cycles, large layoffs, hiring waves), more frequently.
Are remote-first companies paying differently?
Increasingly yes — many are paying Tier-1 city rates regardless of employee location. Some are using location-based pay; the trend is mixed.
How accurate are public salary benchmarks?
Aggregated data (Mercer, Aon, Michael Page) is broadly accurate. User-submitted data (Glassdoor, AmbitionBox) is noisier but useful for direction.
Should we share benchmarks with employees?
Increasingly yes — pay transparency is rising. Companies that share salary bands report higher trust scores even when individual employees are below the midpoint.
What about non-tech roles in India?
Compensation patterns are different — generally more compressed, with less ESOP exposure, and more dependent on industry rather than role specifics. Use industry-specific benchmarks.
Related Reading
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