GTM Recruiter (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Chicago, Illinois, United States; hybrid work with at least three days per week in the office. Other listed location: San Francisco, California.
Base salary: $117,000–$140,000 annually for candidates in the Greater Chicago Area. Additional eligibility may include a corporate bonus or sales incentive and restricted stock units.
Company
, now part of Salesforce, develops Fin, an AI customer agent that provides automated customer support across service, sales, and ecommerce channels.
What you will do
- Lead full-cycle recruitment for GTM and G&A roles.
- Partner with Fin leaders and hiring managers to understand hiring needs and define recruiting strategies.
- Advise stakeholders on recruiting approaches, processes, and solutions.
- Build diverse talent pipelines and attract both active and passive candidates through creative sourcing and company storytelling.
- Use recruiting data and metrics to diagnose search challenges and improve outcomes.
- Provide a strong candidate experience and serve as a trusted talent partner.
Requirements
- 4+ years of full-cycle GTM or sales recruiting experience in a high-growth technology environment.
- Expertise in talent markets across GTM and G&A functions.
- Proven success partnering with GTM leaders to meet and exceed hiring goals.
- Strong analytical, conceptual, and problem-solving abilities with a data-driven approach.
- Experience building and managing diverse talent pipelines.
- Proof of eligibility to work in the United States is required.
Culture & Benefits
- Hybrid policy combining in-office collaboration with flexibility to work from home.
- Employees are expected to work from the office at least three days per week.
- Benefits and resources support health, wellbeing, family needs, time away, and financial security.
- Regular employees may be eligible for bonuses or sales incentives, benefits, and restricted stock units.
- Collaborative, inclusive environment focused on customer success and AI-driven innovation.
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