
10,000+ employees
Founded 1999
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.
🔥 0 minutes ago
Where this job comes from
Posted on Salesforce's careers page, not through a job board
First seen by Remote Rocketship 0 minutes ago

10,000+ employees
Founded 1999
💼 Consulting
📣 Marketing
☁️ SaaS
Consulting • Marketing • SaaS
Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.
• 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 and define ideal candidate profiles • Influence how Salesforce competes for elite technical talent • Build and maintain research-grade talent pipelines by mapping the market and engaging passive talent • Lead complex offer negotiations, including sign-on and equity exception packages • Serve as a trusted advisor to hiring managers by providing market intelligence and advising on tradeoffs • Collaborate with sourcing partners, recruiting coordinators, and peer advisors to deliver a high-touch candidate experience • Contribute to recruiting strategy, pipeline health reviews, and market talent intelligence initiatives
• 5+ years of full-cycle technical recruiting experience • Significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles • Deep experience at a top-tier tech company such as Meta, Google, or equivalent • Proven ability to recruit ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers • Strong fluency in ML and AI concepts, including LLMs, deep learning, NLP, computer vision, and model development pipelines • Track record of building proactive talent pipelines in hard-to-fill research and applied ML talent pools • Experience navigating compensation conversations involving base, equity (RSU), sign-on, and competing offers • Consultative, data-informed approach to recruiting • Strong communication and relationship-building skills • Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams (preferred) • Familiarity with AI/ML academic pipelines and graduate recruiting from top research universities (preferred) • Experience in large, matrixed organizations where recruiting requires influencing without authority (preferred)
• 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
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