Navigating a Competitive AI Talent Market with Intelligence-Led Hiring Strategy

Discover how Draup enabled a global programmatic advertising leader to map the Applied Scientist talent landscape across key U.S. markets, delivering the intelligence needed to compete for senior AI/ML talent with precision.

~3,000

Employees

~$2.4B+

Revenue

Programmatic Advertising / Ad-Tech

Industry

Ventura, California

Headquarters

About the organization

The organization is a global leader in programmatic advertising, operating one of the world's largest independent demand-side platforms. Serving brands and agencies across every major market, it processes trillions of data events daily to power real-time bidding, audience targeting, and campaign performance optimization at scale. The platform's continued growth is underpinned by deep investments in applied science, with advanced machine learning, recommendation systems, and causal inference at the core of its product architecture.

The Core Challenges

Talent Landscape Visibility
The organization sought a structured view of senior-level Applied Scientist availability across multiple high-competition U.S. markets, with coverage specific to ad-tech–relevant profiles.
Compensation Positioning
Existing compensation benchmarks needed to be validated against a market moving rapidly due to intensifying demand for LLM, MLOps, and generative AI expertise at the senior level.
Competitor Intelligence
Understanding which companies were actively scaling Applied Scientist hiring and for which technical workloads, which was critical to sharpening the organization's employer positioning.
Talent Flow Dynamics
The organization wanted clarity on where senior Applied Scientists were moving across key geographies to better anticipate sourcing challenges and identify emerging talent pipelines.

The Solution

PROFILE
LOCATION ANALYSIS
TALENT MARKET INSIGHTS
CAREER PATHS
DATA INTEGRATION
TECH STACK
The image is for representational purpose only.
01
Talent Availability Mapping
Draup mapped senior-level Applied Scientist availability across three major U.S. metros, with ad-tech–segmented breakdowns showing both raw talent pools and active hiring demand, including attrition trends.
02
Compensation Benchmarking
Base salary ranges, bonus structures, and equity benchmarks were modeled across experience levels and geographies, drawing on data from job postings, career platforms, and company-level compensation signals.
03
Competitor Landscape Analysis
Draup delivered a detailed view of how hyperscalers, enterprise SaaS companies, and ad-tech specialists were deploying and competing for Applied Scientist talent, mapped by workload, skill demand, and hiring volume.
04
Talent Flow Intelligence
Inbound and outbound talent movement was tracked across all three target metros, identifying dominant sourcing corridors, feeder markets, and emerging talent hubs contributing to the Applied Scientist pipeline.
6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
66K+​
Technology Solutions​
900K+​
Account Priorities​
Labor Market Data Contextualized with Business Intelligence for Every Decision

Analyzing 1B+ data points
daily from 100K+ sources

6,100+​
Locations
4M+​
Career Paths​
1.7M+​
Peer Group Companies​
28K+
Skills
3,500+​
Roles
1B+​
Professionals​
55K+​
Universities​
1B+​
Job Descriptions​
200K+​
Courses​
66K+​
Technology Solutions​
900K+​
Account Priorities​