Staff Recruiter (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Staff Recruiter (AI): Building an AI-native center of excellence within Talent Acquisition to embed AI tools into the hiring process with an accent on sourcing specialized AI, ML, and technical talent. Focus on mentoring recruiters, optimizing hiring productivity, and shaping the strategic approach to AI-driven recruitment.
Location: Hybrid in Mountain View, US (requires in-office work 2 days a week)
Salary: $207,000–$254,000
Company
is a pioneer in earned wage access, providing real-time financial flexibility to help people manage their money without mandatory fees or interest rates.
What you will do
- Manage a complex, global requisition portfolio spanning technical (AI/ML, Engineering, Data) and non-technical functions.
- Source and engage candidates at the intersection of AI, product, and engineering.
- Partner with leadership as a thought partner to align on role strategy and manage candidate pipelines.
- Mentor junior recruiters and contribute to the development of a best-in-class Talent Acquisition team.
- Build proactive pipelines for strategic, hard-to-fill roles with a focus on quality hires.
- Lead the adoption of AI fluency and tooling within the recruiting function.
Requirements
- 7+ years of full-cycle recruiting experience.
- Experience in high-growth tech companies or fast-paced startup environments.
- Demonstrated experience recruiting for AI, ML, Data Science, or adjacent technical functions.
- Proven track record of mentoring or leading peers.
- Hands-on experience with AI sourcing tools, ATS, and third-party recruiting software.
- Must be based in or able to work from Mountain View, US.
Nice to have
- Experience hiring for global markets.
- Experience recruiting for marketing roles.
Culture & Benefits
- Competitive base salary with equity and comprehensive benefits.
- Opportunity to shape the AI-driven future of recruiting in a high-growth environment.
- Collaborative culture with world-class funding partners like A16Z and Matrix Partners.
- Commitment to diversity and inclusion to represent a diverse community of users.
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