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5 часов назад

Engagement Manager - Data as a Service (AI)

140 000 - 230 000$
Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior
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

Engagement Manager (Data as a Service, AI): Own post-sale customer outcomes and revenue realization across enterprise DaaS accounts with an accent on driving adoption, consumption, and expansion. Focus on managing delivery of complex datasets, building multi-threaded relationships, and partnering with sales to identify growth opportunities.

Location: New York City, NY (Hybrid); Redwood City, CA (Hybrid); San Francisco, CA (Hybrid); United States (Remote)

Salary: $140,000 - $230,000 USD

Company

hirify.global empowers enterprises to transform expert knowledge into specialized AI at scale through data-centric solutions originating from Stanford AI Lab research.

What you will do

  • Own customer adoption, consumption, and revenue realization for assigned DaaS accounts
  • Drive ongoing usage of contracted datasets to convert bookings into recognized revenue
  • Build deep relationships with technical, operational, and executive stakeholders
  • Partner with Account Executives to shape and progress expansion opportunities
  • Lead engagements from kick-off through production, aligning on goals, timelines, and success criteria
  • Manage dataset delivery with Delivery team, ensuring quality, scope, SLAs, and risk mitigation

Requirements

  • 5+ years in customer success, account management, consulting, or post-sales in technical/data-driven environments
  • Track record managing enterprise accounts and driving adoption, consumption, expansion
  • Experience partnering with Sales/Account Executives for shared account growth
  • Ability to manage complex delivery programs focused on outcomes and impact
  • Excellent communication for technical and non-technical audiences
  • Technical aptitude in data, AI/ML domains
  • Willingness to travel up to 20%

Nice to have

  • Experience with AI/ML workflows, data annotation, or data infrastructure
  • Driving net revenue retention (NRR) or expansion metrics

Culture & Benefits

  • Equity via employee stock options
  • Compensation based on role, level, location, skills, experience
  • Rapidly scaling company with stability, growth opportunities, and influence on priorities
  • Support for technical expertise, leadership, and cross-functional learning
  • EEO employer committed to diversity and accommodations for disabilities

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