Talent Acquisition Partner (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Talent Acquisition Partner (AI): Scaling the talent pipeline for Forward Deployed Engineers and Executives (FDE/FDX) with an accent on technical sourcing and community building. Focus on identifying high-impact AI/ML talent and establishing the company brand within the US AI community.
Location: Must be based in the US (North Carolina, New Jersey mentioned)
Company
A Premier AWS and Anthropic Strategic Partner specializing in applied AI, helping enterprises deploy agentic systems and AI Blueprints in FSI and Healthcare verticals.
What you will do
- Lead full-cycle recruitment for AI/ML Engineers, Architects, and technical leaders across the US.
- Build direct-sourcing pipelines using LinkedIn, GitHub, and professional referral networks.
- Architect and execute the US talent community strategy through meetups, workshops, and hackathons.
- Partner with hiring managers and C-level leadership to define role profiles and sourcing strategies.
- Manage candidate pipelines and negotiate offers based on the company's compensation philosophy.
- Analyze market intelligence and perform compensation benchmarking.
Requirements
- 4+ years of full-cycle technical recruiting experience in fast-paced AI, cloud, or consulting environments.
- Proven track record of hiring senior AI/ML engineers and architects.
- Active personal adoption and use of AI tools within the recruiting workflow.
- Experience in building talent communities, including organizing events and university programs.
- Ability to work effectively within a distributed, global team.
- Proficiency with ATS platforms and data-driven recruiting practices.
Culture & Benefits
- Contract engagement with a direct impact on US market growth.
- Access to the Learning Hub and support for Claude Code certification.
- Direct access to Anthropic's frontier AI models through the strategic partnership.
- Collaborative culture emphasizing ownership, curiosity, and continuous learning.
- Exposure to a diverse professional network across multiple industries and geographies.
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