Recruitment intern at UTEC managing candidate selection processes and supporting interviews. Responsibilities include posting job ads and coordinating evaluations for potential hires.
About the role
- Recruiter shaping the hiring function from the ground up for a leading AI infrastructure company. Collaborating with cross-functional teams to enhance candidate experience and improve hiring processes.
Responsibilities
- Full-cycle recruiting: Own the hiring goals and recruiting process, from role kickoff through offer acceptance
- Sourcing excellence: Work closely with hiring managers to define what "excellent" looks like for a given role. Develop and execute sourcing strategies to build pipelines of highly qualified candidates, leveraging tools and creative outreach.
- Candidate experience: Ensure a smooth experience for every candidate, with clear communication and timely updates throughout the process
- Process improvements: Continuously refine and scale recruiting processes to increase efficiency, reduce time-to-fill, and improve quality of hire
- Data-driven insights: Track and analyze metrics (e.g., pipeline health, time-to-fill, conversion rates, acceptance rates) to inform recruiting strategies
Requirements
- 3+ years of full-cycle recruiting experience, preferably in a rapidly growing startup environment
- Proven success sourcing great candidates for Sales, Marketing, Finance, and/or People teams
- Strong willingness to take ownership of a team's hiring goals and proactively drive recruiting process improvements to achieve those goals
- Exceptional organizational skills with the ability to juggle multiple searches and priorities simultaneously
- Excellent written and verbal communication skills
Benefits
- Competitive compensation, including meaningful equity.
- 100% coverage of medical, dental, and vision insurance for employee and dependents
- Generous PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
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