Manager, Senior Technical Recruiter - AI / ML & Data Science (IC)

Perks

• Equity and incentives
• Health, financial, and other benefits

What you'd do

1. 01Niche Talent Sourcing & Engagement: Drive full-lifecycle technical recruiting for specialized talent pools across AI Engineering, Machine Learning, Applied Research, and Data Science.
2. 02Advanced Sourcing Strategies: Leverage unconventional sourcing platforms, research papers, academic channels, and tech communities (e.g., GitHub, Google Scholar, arXiv, NeurIPS, ICML, CVPR) to map and engage passive 10% AI talent.
3. 03Business Partnership & Intake: Partner closely with Engineering Directors, VPs, and Research Leads to refine job profiles, establish interview rubrics, and drive efficient, data-driven hiring workflows.
4. 04Competitive Offer Closing: Architect and execute compelling closing strategies for elite candidates, navigating complex multi-year equity buyouts, sign-on structures, and competing Big Tech or AI Lab offers.
5. 05Market Intelligence & Mapping: Continually map competitor ecosystems (Big Tech, research labs, and AI startups) to identify emerging talent pools and share market insights with internal partners.

What they're looking for

1. 01Bachelor’s Degree or Military Experience
2. 02At least 7 years of full lifecycle technical recruiting experience
3. 035+ years of technical recruiting experience in high-growth enterprise, Big Tech, or specialized executive search environments.
4. 04Proven track record using advanced sourcing methods (GitHub, arXiv, Google Scholar, conference rosters) to engage non-passive AI practitioners.
5. 05Demonstrated history of achieving high offer acceptance rates (60%+) in competitive, low-yield technical talent pools.