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
Own full-cycle recruiting — from kickoff to close, sourcing top 1% talent to join the Paraform team and building recruiting infrastructure that scales.
Responsibilities
Own full-cycle recruiting — from kickoff to close
Source proactively and build pipelines for hard-to-fill roles
Partner closely with hiring managers to deeply understand technical requirements
Define and continuously sharpen interview process, scorecards, and candidate experience
Build repeatable sourcing playbooks, calibration frameworks, and pipeline tracking
Requirements
Nice to have: In-house recruiting at a high-growth VC backed startup (Seed to Series C)
Nice to have: Familiarity with the recruiting industry or marketplace businesses
A strategic and execution-focused Staff Hardware Recruiter to scale critical engineering organizations, specifically focusing on complex hardware engineering functions like Electrical Engineering, Power Systems, and Avionics.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Own full-cycle recruiting for highly specialized hardware engineering roles across-Electrical Engineering, Power Electronics, Embedded Systems, Avionics, PCB Design, Power Distribution, RF, Systems Integration, and related technical domains
Partner directly with engineering leadership and hiring managers to define hiring strategy, interview processes, and prioritization plans aligned to business objectives
Build and execute proactive sourcing strategies for difficult-to-find technical talent across aerospace, defense, automotive, robotics, energy, and adjacent industries
Act as a strategic advisor to leadership on market trends, talent availability, compensation competitiveness, and hiring risks
Drive strong operational rigor across pipeline management, funnel health, data accuracy, and stakeholder communication
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
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