Technical Talent Advisor (AI/ML Recruiting)

Quick Facts

• Role: Technical Talent Advisor (AI/ML Recruiting)
• Scope: Full-cycle, strategic recruiting for Applied Science, Machine Learning, and Data Science roles

Description

Own full-cycle, strategic recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles within Salesforce’s AI and research organizations. Partner with senior technical leaders to shape hiring strategy, build proactive research-grade pipelines, and lead complex offer negotiations. Your ML/AI fluency enables you to advise hiring managers and directly influence how the AI org is built.

Responsibilities

• Own end-to-end recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across AI and research organizations
• Partner with senior engineering and research leaders to define ideal candidate profiles and influence hiring strategy
• Build and maintain high-quality talent pipelines by mapping the market and engaging passive candidates before requisitions open
• Lead complex offer negotiations, including sign-on and equity exceptions, using market compensation benchmarks
• Serve as a trusted advisor to hiring managers with tradeoff guidance and market intelligence
• Collaborate with sourcing partners, recruiting coordinators, and peer advisors to run an efficient, high-touch candidate experience
• Contribute to team recruiting strategy, pipeline health reviews, and market talent intelligence initiatives

Requirements

• 5+ years of full-cycle technical recruiting experience with a significant focus on Applied Science, Machine Learning, and/or Data Science
• Deep experience at a top-tier tech company (e.g., Meta, Google, or equivalent) with an exceptionally high talent bar
• Ability to recruit across the full Applied Science and ML spectrum (ML Engineers, Data Scientists, Research Scientists, Applied Scientists, MLOps Engineers)
• Fluency in ML and AI concepts sufficient to hold credible conversations about LLMs, deep learning, NLP, computer vision, and model development pipelines
• Proven experience building proactive pipelines for 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 using market benchmarking and candidate insights
• Strong communication and relationship-building skills with candidates and senior technical leaders

Benefits

• Time off programs
• Medical, dental, vision
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program