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6 дней назад

Candidate Experience Coordinator (AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Candidate Experience Coordinator (AI): Orchestrating end-to-end candidate journeys, complex interview scheduling, onboarding operations, and ATS data integrity with an accent on candidate care, global coordination, and process engineering. Focus on designing smoother workflows, maintaining accurate Greenhouse data, managing right-to-work and background checks, and using AI to document and scale Talent Acquisition processes.

Location: Cambridge, MA, United States; hybrid work with three days per week in the office, currently Tuesday, Wednesday, and one additional team-dependent day.

Company

hirify.global applies AI and machine learning to drug discovery, developing predictive and generative models to accelerate scientific research and create innovative medicines.

What you will do

  • Own the end-to-end candidate experience from initial contact through final interview stages.
  • Coordinate complex interdisciplinary interview loops across multiple time zones and manage last-minute changes.
  • Host onsite or virtual interview days and maintain timely, supportive candidate communications.
  • Manage Greenhouse job setup, interview processes, candidate statuses, and reporting data quality.
  • Oversee onboarding and compliance operations, including right-to-work checks, people-data integration, and background checks.
  • Identify process bottlenecks, improve workflows, document Talent Acquisition processes, and support training for coordinators and TA members.

Requirements

  • Strong organisation, prioritisation, attention to detail, and ability to work in a fast-paced environment.
  • Experience delivering a high-quality candidate experience with empathy throughout the recruitment lifecycle.
  • Experience with online calendar and meeting applications, preferably G-Suite, and a data-driven approach to data quality.
  • Excellent written and verbal communication skills with the ability to keep stakeholders informed.
  • Experience coordinating schedules across multiple time zones and learning complex systems quickly.
  • Ability to work in a hybrid arrangement and attend the Cambridge office three days per week.

Nice to have

  • Experience with Applicant Tracking Systems, especially Greenhouse.
  • Experience contributing to operational projects such as event logistics, data cleanup, or survey rollouts.
  • Experience working with agencies or search firms as the primary external-partner contact.

Culture & Benefits

  • Collaborative interdisciplinary environment spanning drug discovery, machine learning, and Talent Acquisition.
  • Values centered on thoughtfulness, initiative, integrity, determination, and cross-functional collaboration.
  • Hybrid working model designed to support knowledge sharing and in-person relationships.
  • Commitment to equal employment opportunities and workplace accommodations for people with disabilities or additional needs.

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