Senior Recruiter, AI Labs

Salesforce•South Carolina - Remote, SC

11h

About The Position

Salesforce is seeking a strategic Senior Recruiter to recruit for its AI and research organizations, including roles in Applied Science, Machine Learning, and Data Science. This is a full-cycle recruiting position focused on highly contested technical talent markets, rather than high-volume transactional recruiting. The recruiter will help shape the teams building Agentforce, Einstein AI, and other enterprise AI products. The role partners with senior engineering and research leaders to develop hiring strategies and candidate profiles, build proactive talent pipelines, advise hiring managers using market intelligence, and manage complex compensation and offer negotiations. The recruiter also collaborates with sourcing partners, recruiting coordinators, and peer advisors to deliver an efficient, high-touch candidate experience and contribute to team recruiting strategy and talent intelligence initiatives.

Requirements

At least 5 years of full-cycle technical recruiting experience, with significant demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles.
Deep experience at a top-tier technology company such as Meta, Google, or an equivalent organization with a high talent bar and intense competition.
Proven ability to recruit across the Applied Science and ML talent spectrum, including ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers.
Strong fluency in ML and AI concepts, sufficient to have credible conversations with candidates and hiring managers about LLMs, deep learning, NLP, computer vision, and model development pipelines.
Track record of building proactive talent pipelines in highly contested, hard-to-fill research and applied ML talent pools.
Experience navigating complex compensation conversations involving base pay, RSU equity, sign-on compensation, and competing offers in the FAANG+ talent market.
Consultative, data-informed recruiting approach, including bringing market data, benchmarking intelligence, and candidate insights to hiring manager interactions.
Strong communication and relationship-building skills, with the ability to earn trust quickly with candidates and senior technical leaders.

Nice To Haves

Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams, such as FAIR, Google Brain/DeepMind, or OpenAI.
Familiarity with AI/ML academic pipelines and graduate recruiting from top research universities such as MIT, Stanford, CMU, Berkeley, or UW.
Experience working within large, matrixed organizations where recruiting requires influencing without authority.

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, define ideal candidate profiles, and influence how Salesforce competes for elite technical talent.
Build and maintain research-grade talent pipelines by proactively mapping the market and engaging passive talent before requisitions open.
Lead complex offer negotiations, including sign-on and equity exception packages, using market compensation benchmarks across FAANG and frontier AI companies.
Advise hiring managers, including providing market intelligence and guidance on hiring tradeoffs.
Collaborate with sourcing partners, recruiting coordinators, and peer advisors to provide an efficient, high-touch candidate experience.
Contribute to team-level recruiting strategy, pipeline health reviews, and market talent intelligence initiatives.