Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations.
Compensation
The typical base salary range for this position is $117,400 - $177,600 annually.
Responsibilities
Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations
Partner deeply with senior engineering and research leaders to shape hiring strategy, define ideal candidate profiles, and influence how we compete for elite technical talent
Build and maintain high-quality, research-grade talent pipelines — proactively mapping the market and engaging passive talent before requisitions open
Lead complex offer negotiations, including sign-on and equity exception packages, with a clear understanding of market compensation benchmarks across FAANG and frontier AI companies
Serve as a trusted advisor to hiring managers — pushing back, advising on tradeoffs, and bringing market intelligence that sharpens decision-making
Requirements
Nice to have: Recruiting for frontier AI organizations
Nice to have: AI research labs
Nice to have: Applied AI product teams
Nice to have: AI/ML academic pipelines
Nice to have: Graduate recruiting from top research universities
Strategic full‑cycle technical recruiter focused on AI/ML talent for Salesforce’s AI and research organizations.
Responsibilities
Own full‑cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations
Partner with senior engineering and research leaders to shape hiring strategy and define ideal candidate profiles
Build and maintain high‑quality, research‑grade talent pipelines
Lead complex offer negotiations, including sign‑on and equity packages
Lead full-cycle recruiting for highly specialized technology roles across Artificial Intelligence, Cloud Engineering, Data Science, Cybersecurity and DevSecOps.
Locations (4)
Tampa, Florida, United States
Dallas, Texas, United States
New Jersey, United States
New York, United States
Responsibilities
Manage the full recruiting lifecycle from intake through offer and onboarding
Partner with hiring managers and leaders on strategies for hard-to-fill technical roles
Source and engage candidates in AI, Cloud, Data Science, Cybersecurity and DevSecOps
Own and drive end-to-end technical recruiting for NPS Prism's India Hub, focusing on data science, data engineering, commercial operations, and product operations.
Compensation
Competitive compensation and benefits
Responsibilities
Own the full recruitment lifecycle for technical and operational roles
Partner with hiring managers to understand team needs and role requirements
Design and implement targeted sourcing strategies across job boards, LinkedIn, professional communities, and direct outreach
Review applications and conduct initial screenings to assess technical fit, communication skills, and cultural alignment
Coordinate and facilitate structured interview processes
