[Hiring] Senior Recruiter @Salesforce

Role Description

Salesforce is building the AI-powered future of enterprise software — and we need a world-class recruiter to help us win the most contested talent market in the industry. This isn’t a high-volume, transactional recruiting role. This is a strategic seat at the table for a recruiter who has spent their career deeply embedded in recruiting for one or more of the following areas:

• Applied Science
• Machine Learning
• Data Science

You’ve recruited at scale for research scientists, applied scientists, ML engineers, and data scientists. You understand the difference between a Machine Learning Engineer and an Applied Scientist. You’ve navigated nuanced leveling conversations, complex compensation structures, and competing offers from the best companies in the world — and you’ve won.

Now, bring that expertise to Salesforce, where Agentforce and Einstein AI are redefining what enterprise AI looks like. Your pipeline and your craft will directly shape the teams building the most impactful AI products in the world.

• Agentforce & Einstein AI — You’ll be recruiting for the teams building the AI products deployed by the world’s largest enterprises, at a scale and data advantage no startup can match.
• Real Impact — This is not a support role. You will shape hiring strategy and directly influence how Salesforce’s AI org is built.
• World-Class Colleagues — Work alongside a high-performing recruiting team with deep expertise across the AI/ML talent landscape.
• Scope & Scale — Only a handful of companies in the world operate at Salesforce’s scale with this level of AI investment. The scope of what you’ll recruit for here is unmatched.

Qualifications

• 5+ years of full-cycle technical recruiting experience, with a significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles.
• Deep experience at a top-tier tech company — Meta, Google, or equivalent — where the talent bar is exceptionally high and the competition is fierce.
• Proven ability to recruit across the full Applied Science and ML talent spectrum: ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers.
• Strong fluency in ML and AI concepts — enough to hold credible conversations with candidates and hiring managers about LLMs, deep learning, NLP, computer vision, and model development pipelines.
• Track record of building proactive talent pipelines in highly contested, hard-to-fill research and applied ML talent pools.
• Experience navigating complex compensation conversations, including base, equity (RSU), sign-on, and competing offer dynamics in the FAANG+ talent market.
• Consultative, data-informed approach to recruiting — you bring market data, benchmarking intelligence, and candidate insights to every hiring manager interaction.
• Strong communicator and relationship builder who earns trust quickly with both candidates and senior technical leaders.

Requirements

• Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams (e.g., FAIR, Google Brain/DeepMind, OpenAI).
• Familiarity with AI/ML academic pipelines and graduate recruiting from top research universities (MIT, Stanford, CMU, Berkeley, UW, etc.).
• Background working within large, matrixed organizations where recruiting requires influencing without authority.

Benefits

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