Senior Recruiter, AI Labs

This is a fully remote position, open to applicants in South Carolina.

📋 Description

• Take ownership of the complete recruiting process for Applied Scientist, Machine Learning Engineer, and/or Data Scientist positions within Salesforce’s AI and research divisions.

• Collaborate with senior engineering and research executives to define hiring strategies and establish ideal candidate profiles.

• Influence Salesforce's competitive edge in attracting top-tier technical talent.

• Develop and sustain research-grade talent pipelines by analyzing the market and engaging with passive candidates.

• Lead intricate offer negotiations, encompassing sign-on bonuses and equity exception packages.

• Act as a trusted advisor to hiring managers by providing insights into the market and advising on key trade-offs.

• Work alongside sourcing partners, recruiting coordinators, and peer advisors to ensure a high-touch experience for candidates.

• Contribute to the overall recruiting strategy, pipeline health assessments, and initiatives related to market talent intelligence.

⛳️ Requirements

• A minimum of 5 years of comprehensive technical recruiting experience.

• A strong and proven focus on roles in Applied Science, Machine Learning, and/or Data Science.

• Extensive experience in a leading tech company such as Meta, Google, or a comparable organization.

• Demonstrated success in recruiting ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers.

• Strong understanding of ML and AI concepts, including LLMs, deep learning, NLP, computer vision, and model development pipelines.

• Proven track record in creating proactive talent pipelines for challenging research and applied ML talent markets.

• Proficient in managing compensation discussions that include base salary, equity (RSU), sign-on bonuses, and competing offers.

• A consultative and data-driven approach to recruiting.

• Excellent communication and relationship-building abilities.

• Experience in recruiting for pioneering AI organizations, AI research labs, or applied AI product teams is preferred.

• Knowledge of AI/ML academic pathways and graduate recruiting from leading research universities is preferred.

• Background in large, matrixed organizations where influencing without authority is necessary is preferred.

🏝️ Benefits

• Time off programs

• Medical insurance

• Dental insurance

• Vision insurance

• Mental health support

• Paid parental leave

• Life insurance

• Disability insurance

• 401(k)

• Employee stock purchasing program

• Incentive compensation may be available for eligible roles

• Equity may be available for eligible roles