Technical Recruiter, Infrastructure
$240,000–$295,000 year
HybridSan Francisco, California, United States
Job Summary
Own full lifecycle recruiting for a portfolio of roles across the Infrastructure organization, from intake through offer and close. Run structured intakes with hiring managers to translate ambiguous needs into scoped requirements, calibrated bars, and search strategies. Build and maintain pipelines of specialized infrastructure talent with an emphasis on passive candidates, while refining interview loops and scorecards alongside counterparts. Develop deep domain knowledge to identify niche talent and advise managers with market data and candid calibration feedback. Handle sensitive role and candidate information with discretion. This role requires deep full lifecycle recruiting experience and proficiency with applicant tracking systems like Greenhouse. The annual salary range is $240,000—$295,000 USD.
Required Qualifications
- Deep full lifecycle recruiting experience
- Substantial time supporting infrastructure, platform, or comparably technical engineering organizations
- Ability to hold a substantive technical conversation about infrastructure domains such as Kubernetes and container orchestration, cloud networking, cluster networking, and systems languages
- Proficiency with an applicant tracking system like Greenhouse and other modern sourcing tools
- Experience partnering directly with hiring managers on intake, bar calibration, and interview loop design
- Sound independent judgment on candidate quality
- Ability to independently partner with multiple hiring managers on complex searches
- A strong sense of ownership over your work
- Adaptability to adjust as priorities and hiring needs shift
- Genuine interest in Anthropic's mission and in the role a strong infrastructure function plays in achieving it
- Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Desired Qualifications
- Experience recruiting at a high-growth technology, AI, or machine learning company
- Working knowledge of the infrastructure and platform talent landscape, including where strong large-scale ML training and systems infrastructure talent tends to come from
- Experience hiring for hyperscale cluster infrastructure, research and platform infrastructure, privacy infrastructure, or sandboxing and isolation engineering
- Experience improving recruiting processes, market maps, or interview architecture where they were thin or absent
- Comfort using LLMs to accelerate sourcing, research, and market mapping
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