CoreWeave delivers a cloud platform of technology, tools, and teams that enables innovators to build and scale AI. The company serves AI labs, startups, and global enterprises with high-performance infrastructure and technical expertise.
technical recruiter for AI infrastructure
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описание
задачи
- Lead full-cycle recruiting across the Engineering organization;
- Own technical recruiting from intake through close, including talent mapping, market intelligence, sourcing strategy, candidate assessment, interview strategy, offer negotiation, and candidate closing;
- Partner with Engineering leaders to understand objectives and technical requirements, define role scope, calibrate talent expectations, and develop search strategies;
- Ensure interview processes are structured, calibrated, and aligned with role requirements;
- Develop deep knowledge of relevant technical talent markets;
- Use data and market intelligence to diagnose search performance and recommend improvements;
- Advise Engineering leaders on talent availability, location strategy, leveling, compensation, competitive dynamics, and hiring tradeoffs;
- Use recruiting analytics and funnel metrics to assess pipeline health, forecast outcomes, identify risks, and improve hiring efficiency and quality;
- Partner with Sourcers, Recruiting Coordinators, HRBPs, Finance, Compensation, Recruiting Operations, and Recruiting Leadership;
- Take accountability for hiring outcomes;
- Develop talent-market insights and recommendations for partners;
- Build strong partnerships with Engineering leaders;
- Challenge assumptions based on market evidence;
- Balance hiring speed with a consistent engineering hiring bar;
- Improve how engineering talent is identified, assessed, attracted, and hired.
требования
- 5+ Years of full-cycle technical recruiting experience;
- Significant experience supporting Engineering organizations in high-growth or highly competitive technology companies;
- Experience recruiting software engineers and highly technical talent across cloud infrastructure, distributed systems, platform engineering, networking, storage, developer infrastructure, AI/ML, or adjacent technical domains;
- Strong technical sourcing and talent mapping capabilities;
- Ability to distinguish between adjacent technical skill sets, backgrounds, and engineering levels;
- Experience partnering with Director-level and above Engineering stakeholders and influencing hiring decisions through data and talent-market expertise;
- Strong intake and calibration skills;
- Understanding of structured technical hiring processes, interviewer calibration, and high-quality feedback;
- Strong offer negotiation and closing skills;
- Data-driven recruiting approach, including funnel management, forecasting, and pipeline analysis;
- Ability to use talent intelligence and market data to advise leaders;
- Experience with Greenhouse, LinkedIn Recruiter, Gem, and related sourcing and talent intelligence platforms;
- Ability to manage multiple complex searches and Engineering stakeholders while maintaining quality, speed, and candidate experience;
- Resourceful and adaptable in a rapidly changing environment;
- Nice to have: Experience recruiting across highly specialized technical domains.
условия
- Family-level Medical Insurance;
- Family-level Dental Insurance;
- Generous Pension Contribution;
- Life Assurance at 4x Salary;
- Critical Illness Cover;
- Employee Assistance Programme;
- Tuition Reimbursement;
- Work culture focused on innovative disruption;
- Benefits may vary by location.
навыки
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