Christopher Wirl
@christopherwirl
I build AI-powered talent intelligence and sourcing systems for global hiring teams.
What I'm looking for
I've spent 12+ years in talent acquisition, including 8+ years embedded within Cisco's global TA function, building passive talent pipelines and advising leaders on hiring decisions across Engineering, Product, CX, Operations, Supply Chain, and Sales.
At Cisco, I led cross-functional sourcing teams of 3–20 and built a continuous competitive intelligence practice using Draup and LinkedIn Talent Insights to map competitor hiring trends, tech stacks, and talent pools. I delivered feasibility assessments, pipeline health presentations, and market intelligence that informed headcount strategy for IC through Director+ hiring.
I designed AI-powered tooling and data infrastructure in Cisco CIRCUIT, including talent intelligence, sourcing intake, historical pipeline data, activity compliance, and requisition-prioritization solutions. My workflow audit uncovered a 27.7% pipeline-step non-compliance rate and a 53% Hiring Leader Review bypass rate, which I translated into new KPIs, process changes, audits, and training.
Earlier, I recruited IT professionals across software engineering, QA, network engineering, and project management, and developed multi-channel sourcing strategies for a global enterprise. I'm bilingual in English and Spanish and bring experience in coaching, data analysis, automation, and global talent engagement.
Experience
Work history, roles, and key accomplishments
Led sourcing for passive technical talent across IC through Director+ levels, including ASIC, PCB, and signal/power integrity engineers for chip programs like Silicon One. Built competitive intelligence practices and designed AI-powered tooling to improve sourcing efficiency and data integrity.
Education
Degrees, certifications, and relevant coursework
Launch School
Graduate Certificate, Full-Stack Web Development
2017 - 2019
Graduate Certificate in Full-Stack Web Development, covering Ruby, JavaScript, HTML, and CSS.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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