Draup Talent Intelligence Plugin for ChatGPT
HR, talent acquisition and workforce planning teams can now ask about any role, skill, location or company in ChatGPT and get answers grounded in Draup's labor market data.
| Rank | US city / metro | Job-posting count |
|---|---|---|
| 1 | San Francisco Bay Area | 37,397 |
| 2 | New York City | 19,349 |
| 3 | Washington D.C. | 12,627 |
| 4 | Seattle | 9,524 |
| 5 | Dallas–Fort Worth | 6,557 |
| 6 | Boston | 6,378 |
| 7 | Austin | 5,368 |
| 8 | Los Angeles | 5,348 |
| 9 | Chicago | 4,032 |
| 10 | Atlanta | 4,001 |
- San Francisco Bay Area: Strongest priority for AI/ML sourcing, particularly for advanced AI engineering.
- New York: Large technology and financial-services talent market.
- Washington D.C.: Significant market for enterprise, government and technology-related AI work.
- Seattle: Attractive market for experienced machine learning and cloud AI engineering.
- Boston: Strong market for AI research, biotech and deep-tech talent.
- Austin and Dallas: Worth exploring as additional sourcing locations.
- San Francisco Bay Area
- New York
- Seattle
- Boston
- Washington D.C.
One important distinction: Job-posting volume indicates hiring activity, not the actual number of available professionals. For workforce planning, the next step should be to compare unique AI/ML talent supply, experience levels, compensation and talent growth across these metros.
| Salary metric | Bengaluru | Hyderabad |
|---|---|---|
| Median base pay | ₹23.15 L | ₹21.38 L |
| 10th percentile | ₹15.43 L | ₹15.98 L |
| 90th percentile | ₹38.65 L | ₹36.58 L |
| Reported salary records | 6,509 | 2,600 |
| Data confidence | Medium | Medium |
- Bengaluru has an advantage: Median base pay is approximately ₹1.77 lakh higher annually.
- Higher earning potential: The 90th percentile is approximately ₹38.65 LPA in Bengaluru versus ₹36.58 LPA in Hyderabad.
- Comparable salary distributions: The lower and upper salary ranges overlap, so individual experience and employer selection can make a substantial difference.
- Data coverage: Bengaluru has more reported salary records, providing a larger underlying sample.
My recommendation: For salary benchmarking and compensation planning, use approximately ₹23 LPA for Bengaluru and ₹21.4 LPA for Hyderabad as median annual base-pay reference points.
Workforce answers in ChatGPT, backed by Draup's labor market data
ChatGPT on its own answers workforce questions from general knowledge. With Draup for Talent, answers draw on Draup's labor market data and show the date, sample size and confidence level behind the figures.
How to add the Draup plugin to ChatGPT
Find Draup for Talent
Open the ChatGPT plugin directory and search for Draup.
Install the plugin
Select Install plugin on the Draup for Talent listing.
Sign in with your Draup account
Allow access. The plugin follows your Draup product entitlements.
Ask your workforce question
Select Draup for Talent in a chat and ask in plain language.
Requires access to Draup for Talent and a Draup user account.
Ask ChatGPT about any role, skill, location or company
The Draup talent intelligence plugin answers from Draup's proprietary data across eight areas. These are starting points. Ask follow-up questions, combine topics, or bring your own workforce question.
Talent supply
See the pool size and seniority mix for a role in any location, and how a role is distributed across industries.
“Compare the talent pool size and seniority mix for Data Engineers and Data Analysts in Pune.”
Compensation
Compare base pay by role and location, with 10th, 50th and 90th percentile bands.
“What is the base pay for a Data Scientist in Bengaluru as compared to Hyderabad?”
Demand
Track job postings by company, industry, job title, business function and skill.
“Which US cities have the largest talent pools for AI and Machine Learning Engineers?”
Skills
See the core skills in demand for a role and the skills that are emerging or declining.
“Which skills are emerging and declining for Machine Learning Engineers, and who is hiring them in the US?”
Talent flow
Follow the companies and cities a company's talent moves to and from.
“Which companies and cities does Netflix's engineering talent move to and from?”
Locations
Assess the demographics, economy and business environment of a country or metro area.
“Compare the economy and business environment of Austin and Atlanta for a new engineering hub.”
Roles
Look up role definitions and responsibilities for the roles you plan and hire for.
“What are the core responsibilities of a Machine Learning Engineer?”
Employer view
Review an organization's workforce, locations and hiring trends.
“Show Spotify's workforce by location and its current hiring trends.”
Read-only by design
The plugin retrieves Draup data inside ChatGPT. It never writes to your Draup account, and each user sees only what their Draup access allows.
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Add Draup for Talent to ChatGPT
Draup for Talent customers can install the plugin today. Book a demo to see how Draup's talent intelligence supports your workforce decisions.
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