Internal Senior Recruiter
Remote
Job Summary
Own sourcing, screening, and pipeline management for high-volume concurrent searches across technical AI roles (ML engineers, researchers, data engineers) and non-technical functions (operations, consulting, sales). Conduct structured screening calls to validate experience and technical fluency, evaluating GitHub activity and project portfolios while assessing AI literacy for non-technical candidates. Build targeted talent pipelines using LinkedIn, GitHub, and community platforms to find passive candidates, then maintain clean ATS records with accurate status tracking and professional communication logs. Write clear candidate summaries with explicit pass/no-pass reasoning and calibrate regularly with internal stakeholders to sharpen criteria. Partner with hiring managers to deeply understand roles before sourcing begins, adjusting strategies based on feedback and market signals to ensure timely, high-quality placements.
Required Qualifications
- 4+ years of technical recruiting experience, in-house or agency, with a strong track record of closing senior and specialized roles
- Demonstrated ability to recruit across both technical and non-technical roles within the AI space
- Genuine fluency with AI industry trends, including emerging job functions, tools, and talent dynamics
- Strong judgment when evaluating technical profiles including the ability to assess AI and ML backgrounds with accuracy
- Excellent written communication for candidate summaries, outreach, and internal updates
- Organized, consistent, and able to manage multiple open searches simultaneously without losing quality
- High ownership mindset: you run your searches independently and close loops without being chased
- Comfortable working in a fast-paced, high-output environment where priorities shift quickly
- Experience sourcing candidates across technical AI roles including ML engineers, AI researchers, data engineers, AI product managers, automation engineers, and RPA developers
- Experience sourcing equally well for non-technical AI-adjacent roles including AI operations, AI consulting, AI customer success, and AI sales functions
- Ability to build and maintain targeted talent pipelines for multiple concurrent searches
- Ability to stay current on AI industry trends, emerging roles, and shifting skill requirements to sharpen sourcing strategy in real time
- Ability to use LinkedIn, GitHub, AI community platforms, and other channels to find candidates who are not actively looking
- Ability to conduct structured screening calls to validate experience, skills, and role fit across both technical and non-technical AI roles
- Ability to evaluate technical profiles including GitHub activity, published work, and project portfolios with enough technical fluency to make sound judgments
- Ability to assess non-technical candidates for AI literacy, domain knowledge, and alignment with the role requirements
- Ability to write clear, concise candidate summaries with explicit reasoning for pass or no-pass decisions
- Ability to calibrate regularly with internal stakeholders to sharpen criteria and improve accuracy over time
- Ability to maintain clean, organized candidate pipelines with accurate status, notes, and communication logs
- Ability to track candidate progress across all open searches without letting anything slip
- Ability to build repeatable sourcing workflows, templates, and documentation that improve team efficiency
- Ability to ensure every candidate receives a professional, timely experience from first touch through final decision
- Ability to partner with internal hiring managers and team leads to deeply understand each role before sourcing begins
- Ability to adjust strategies quickly based on calibration feedback, market signals, and performance trends
- Ability to support prioritization across open roles to keep recruiting operations running without bottlenecks
- Ability to contribute to improving internal recruiting systems, scorecards, and hiring frameworks
- Ability to describe a technically complex or AI-specific role you recruited for
- Ability to explain how you stay current on AI talent trends and roles
Desired Qualifications
- Experience with Workable as an ATS
- Background recruiting for AI, machine learning, automation, or data engineering roles at scale
- Familiarity with AI-powered sourcing tools or automation-driven recruiting workflows
- Experience at a startup, staffing firm, or high-growth environment where speed and precision both matter
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