Talent Advisor (AI Labs)

Quick Facts

• Role: Talent Advisor (AI Labs)

• Category: Employee Success

Description

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 research and engineering leaders to shape hiring strategy, define ideal candidate profiles, and influence how Salesforce competes for elite technical talent. Build proactive, research-grade talent pipelines and lead complex offer negotiations.

Responsibilities

• Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles

• Partner with senior leaders to shape hiring strategy and candidate profiles

• Build and maintain high-quality, research-grade talent pipelines and engage passive talent before requisitions open

• Lead complex offer negotiations, including sign-on and equity exception packages, using market compensation benchmarks

• Advise hiring managers using market intelligence and candidate insights

• Collaborate with sourcing partners, recruiting coordinators, and peer advisors to deliver a high-touch candidate experience

• Contribute to team-level recruiting strategy, pipeline health reviews, and market talent intelligence

Requirements

• 5+ years of full-cycle technical recruiting experience with a significant focus on Applied Science, Machine Learning, and/or Data Science roles

• Deep experience at a top-tier tech company (e.g., Meta, Google, or equivalent)

• Proven ability to recruit across the full Applied Science and ML talent spectrum (ML Engineers, Data Scientists, Research Scientists, Applied Scientists, MLOps Engineers)

• Strong fluency in ML and AI concepts (LLMs, deep learning, NLP, computer vision, model development pipelines)

• Track record of building proactive pipelines in hard-to-fill research and applied ML talent pools

• Experience navigating complex compensation conversations (base, equity/RSUs, sign-on, competing offer dynamics)

• Consultative, data-informed recruiting approach with benchmarking and candidate insights

• Strong communication skills and relationship building with candidates and senior technical leaders

Benefits

• Benefits and resources supporting work-life balance

• Paid parental leave

• Medical, dental, and vision coverage

• Mental health support

• Life and disability insurance

• 401(k)

• Employee stock purchasing program