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2 дня назад

Product Manager III, GenAI & ML Platform (AI)

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

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TL;DR

Product Manager III (GenAI & ML Platform): Building and scaling internal AI/ML capabilities to drive innovation across the organization with an accent on shared platforms, tools, and workflows. Focus on translating emerging AI opportunities into scalable solutions, driving platform adoption, and aligning the roadmap with business needs.

Location: London, UK (Flexible work model)

Company

hirify.global is a global travel technology company that powers travel brands worldwide through cutting-edge technical solutions.

What you will do

  • Define and execute the product strategy and roadmap for GenAI and ML platform capabilities.
  • Translate complex platform and customer needs into clear product requirements and prioritized backlogs.
  • Drive the adoption and usability of internal AI platform tools and workflows across various teams.
  • Lead the full product development lifecycle from initial concept through launch and iteration.
  • Utilize data, experimentation, and stakeholder feedback to evaluate performance and inform prioritization.
  • Collaborate with engineering and data science to build scalable, reliable, and secure AI/ML systems.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 5+ years of product management experience with ownership of product initiatives.
  • Experience delivering technical products or platform capabilities, specifically within GenAI, machine learning, or developer platforms.
  • Strong analytical skills and the ability to use data to guide strategy and measure outcomes.
  • Ability to operate effectively in highly technical and ambiguous environments.
  • Strong communication and storytelling skills for both technical and non-technical audiences.

Nice to have

  • Master's or PhD degree in a technical discipline.
  • Previous experience in technical roles such as software engineering or machine learning science.
  • Proven ability to take products from early-stage concepts to scaled adoption.
  • Deep understanding of platform operational considerations like reliability and scalability.

Culture & Benefits

  • Comprehensive benefits package including medical, dental, and vision insurance.
  • Exciting travel perks, discounts, and wellness reimbursement.
  • Flexible work model with access to modern office spaces.
  • Generous time-off and parental leave policies.
  • Supportive environment focused on diversity, inclusion, and career development.

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