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21 день назад

AI Product Specialist

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Product Specialist (AI adoption): Leading the rollout and effective use of AI tools and workflows across product, engineering, sales, finance, and operations with an accent on training, enablement, documentation, and measuring adoption. Focus on translating technical capabilities into practical workflows, building AI-powered prototypes, analyzing business impact, and driving cross-functional change.

Location: On-site in New York, New York

Company

A platform for outcomes-based advertising across traditional and streaming television.

What you will do

  • Lead the rollout of AI tools and workflows across the organization.
  • Design and deliver role-specific training for technical and non-technical teams.
  • Provide hands-on support, troubleshooting, and adoption guidance.
  • Monitor adoption, quantify business impact, and present findings to stakeholders and leadership.
  • Create documentation, playbooks, and repeatable best practices.
  • Support product and engineering teams in piloting AI-assisted capabilities and identifying new opportunities.

Requirements

  • Bachelor's degree in a relevant field.
  • 0–2 years of professional experience; internships, coursework, personal projects, and campus leadership count.
  • Experience building something real with AI tools, such as a web app, dashboard, or working prototype.
  • Comfort working with data, manipulating numbers, and drawing conclusions.
  • Strong communication, presentation, training, writing, and interpersonal skills.
  • Experience organizing people or projects, along with a self-starter mindset and empathy for users changing their habits.

Nice to have

  • Python or other coding experience.

Culture & Benefits

  • Opportunity to shape AI adoption across the entire organization.
  • Close collaboration with Product leadership.
  • Practical experience in change management, training, and cross-functional influence.
  • Exposure to AI transformation across product development and business operations.

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