Talent Acquisition Specialist

About The Opportunity

Standardized job title:

• Manage full-cycle recruitment for assigned roles: craft role briefs, source candidates, conduct screening, coordinate interviews, and drive offers to closure.
• Execute proactive sourcing strategies using LinkedIn, job boards, referrals, and Boolean search to build and maintain robust candidate pipelines.
• Operate and optimise the Applicant Tracking System (ATS): triage applications, maintain candidate records, and produce hiring metrics and status reports.
• Partner closely with hiring managers to define hiring criteria, set SLAs, and deliver shortlist-ready candidates aligned to role and culture fit.
• Lead candidate experience initiatives—clear communication, timely feedback, and professional offer management to maximise acceptance rates.
• Support employer branding and campus/outreach programs to enhance talent flow and passive candidate engagement.
  

Skills & Qualifications

• Proven hands-on experience in full-cycle recruitment, ideally hiring for tech and/or commercial functions.
• Practical experience with ATS administration and daily use (tracking, reporting, candidate lifecycle).
• Demonstrable expertise in sourcing: LinkedIn Recruiter, Boolean search, and job-board sourcing.
• Strong stakeholder management with hiring managers and cross-functional teams.
• Track record of delivering quality hires and improving time-to-fill and offer-acceptance metrics.
• Comfortable working remote across India and managing distributed interview schedules and coordination.
  

Preferred

• Experience with employer-branding initiatives and campus hiring drives.
• Experience using Greenhouse, Lever, or similar modern ATS platforms.
• Prior exposure to hiring for early-stage startups or fast-growth product teams.
  

• Remote-first role with flexible work hours and asynchronous collaboration.
• Opportunities for career growth in talent operations, recruiting leadership, and employer-branding projects.
• High-autonomy environment that values data-driven hiring and experimentation.