Talent Advisor, AI Labs

Salesforce•San Francisco, CA

1d•$117,400 - $193,700

About The Position

Salesforce is seeking a strategic, full-cycle recruiter to recruit for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across its AI and research organizations. The role focuses on building the teams behind Agentforce and Einstein AI, with a direct influence on hiring strategy and the development of Salesforce’s AI organization. This is not a high-volume, transactional recruiting position; it requires deep expertise in highly competitive AI, machine learning, and data science talent markets. The Talent Advisor partners with senior engineering and research leaders to define hiring needs and candidate profiles, builds proactive talent pipelines, advises on market conditions and hiring tradeoffs, and leads complex compensation and offer discussions. The advisor also collaborates with sourcing partners, recruiting coordinators, and peers to deliver a high-touch candidate experience and contributes to recruiting strategy, pipeline reviews, 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 company 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 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 with complex compensation discussions involving base salary, RSUs, sign-on compensation, and competing offers in the FAANG+ talent market.
Consultative, data-informed recruiting approach, using market data, benchmarking intelligence, and candidate insights in 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, and UW.
Experience working in 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 technical talent.
Build and maintain high-quality talent pipelines by proactively mapping the market and engaging passive candidates before requisitions open.
Lead complex offer negotiations, including sign-on and equity exception packages, using market compensation benchmarks.
Advise hiring managers on recruiting decisions, tradeoffs, and market intelligence.
Collaborate with sourcing partners, recruiting coordinators, and peer advisors to provide an efficient, high-touch candidate experience.
Contribute to team recruiting strategy, pipeline health reviews, and market talent intelligence initiatives.