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Salesforce

Builds cloud software for customer relationships

Talent Advisor - AI Labs

Technical RecruitingPosted on Nov 12
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 5 years of full-cycle technical recruiting experience with a 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 equivalent, with a high talent bar and strong competition.
  • Ability to recruit across the Applied Science and Machine Learning talent spectrum, including Machine Learning Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers.
  • Fluency in Machine Learning and AI concepts sufficient to discuss LLMs, deep learning, NLP, computer vision, and model development pipelines credibly with candidates and hiring managers.
  • Track record of building proactive talent pipelines in highly contested, hard-to-fill research and applied Machine Learning talent pools.
  • Experience navigating complex compensation conversations involving base salary, RSUs, sign-on packages, 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 to earn trust with candidates and senior technical leaders.

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 competition for elite technical talent.
  • Build and maintain high-quality, 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 knowledge of market compensation benchmarks across FAANG and frontier AI companies.
  • Advise hiring managers, challenge assumptions, advise on tradeoffs, and provide market intelligence to sharpen decision-making.
  • Collaborate with sourcing partners, recruiting coordinators, and peer advisors to deliver an efficient, high-touch candidate experience.
  • Contribute to team-level recruiting strategy, pipeline health reviews, and market talent intelligence initiatives.

Desired Qualifications

  • 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.
  • Background working within large, matrixed organizations where recruiting requires influencing without authority.

About the Company

Salesforce

Builds cloud software for customer relationships

Salesforce sells cloud software that helps businesses manage sales leads, customer service, marketing, and online commerce from shared customer records. Its flagship Sales Cloud tracks accounts and deals, while Service Cloud organizes support cases and Agentforce builds AI assistants that act on company data. Teams access these tools through a browser and connect outside apps and data sources, with Slack for work messages and Tableau for visual analysis. Salesforce earns most of its revenue from software subscriptions and support, with professional services for implementation and training. Marc Benioff co-founded Salesforce in 1999, and its headquarters are in San Francisco, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Francisco, CA
Founded
1999

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