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3 дня назад

Customer Engagement Manager (AI)

140 000 - 200 000$
Формат работы
remote
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
France, UK, US, Argentina, Chile, Norway, Poland, Spain, Ireland, Denmark, Netherlands, Sweden, Mexico, Italy, Canada, Germany, Austria, Belgium, Switzerland, Finland, Colombia, Brazil, Peru
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, нашего списка международных tech-компаний
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TL;DR

Customer Engagement Manager (AI): Manage and grow enterprise customer relationships for hirify.global's Label Studio platform and Data Creation Laboratory services with an accent on operational excellence, SLA achievement, and revenue growth. Focus on building scalable customer engagement processes, collaborating cross-functionally, and driving continuous improvement in AI data operations.

Location: Remote, hiring across North and South America and Europe

Salary: $140,000–$200,000 USD

Company

hirify.global builds AI data infrastructure powering the creation, curation, and evaluation of high-quality datasets for leading AI teams worldwide.

What you will do

  • Drive operational processes ensuring on-time delivery of Label Studio platform capabilities and data services
  • Manage customer onboarding, implementation, and long-term health to preempt risks
  • Collaborate with engineering, product, sales, and operations teams to advocate for customer needs
  • Track and improve operational performance with a focus on SLA achievement and quality
  • Support revenue growth and account expansion through strategic customer engagement
  • Serve as primary contact for technical and operational customer issues

Requirements

  • 4-9 years of experience including consulting or technical program management roles
  • Proven track record in B2B client-facing roles and expanding client relationships
  • Technical background or experience with APIs, ML workflows, and data operations
  • Strong analytical, planning, and process improvement skills
  • Excellent verbal and written communication and cross-functional collaboration
  • Experience with SQL or other database languages

Nice to have

  • Experience at API-driven technology companies or managing technical customers
  • Familiarity with data annotation, labeling platforms, or ML operations
  • Understanding of training data impact on model performance

Culture & Benefits

  • Inclusive and equal opportunity workplace
  • Remote work across multiple global regions
  • Compensation based on regional market rates
  • Collaboration with frontier AI labs, Fortune 500 enterprises, and government agencies

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