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22 часа назад

Technical Product Manager, 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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TL;DR
Technical Product Manager, AI (AI/ML): Translating business goals into technical product requirements and system architectures while designing and launching AI-driven products for an e-commerce acceleration platform with an accent on data architecture, emerging AI tools, and measurable product performance. Focus on converting ambiguous stakeholder needs into scalable technical solutions, leading AI backlogs and roadmaps, and coordinating engineering, data science, and AI research teams.

Location: Lehi, Utah, United States; hybrid

Company

hirify.global is an e-commerce acceleration platform with a hirify.global Labs department focused on AI research, data science, and engineering.

What you will do

  • Translate business goals and stakeholder needs into technical product requirements and system architectures.
  • Collaborate with engineering, data science, and AI research teams to design, build, and deploy AI-driven products.
  • Evaluate and integrate emerging AI tools and workflows into the hirify.global Labs ecosystem.
  • Define and track product performance metrics to support continuous optimization.
  • Communicate technical concepts and AI roadmaps to technical and business stakeholders.
  • Own technical product backlogs, lead sprint planning and feature scoping, and launch AI-driven features.

Requirements

  • Strong technical background in software systems, data architecture, and modern technology stacks.
  • Proven experience in technical product management, bridging business strategy and technical execution.
  • Strong interest in artificial intelligence and machine learning, with continuous learning and practical application of new AI technologies.
  • Entrepreneurial, proactive, resourceful, agile, and ownership-driven approach.
  • Excellent communication and stakeholder management skills.

Nice to have

  • Hands-on experience with generative AI, LLMs, or agentic frameworks.
  • Startup, side-project, or entrepreneurial venture experience.
  • Experience with high-scale e-commerce marketplaces or data infrastructure systems.

Culture & Benefits

  • Opportunity to lead foundational AI initiatives and work with executive and cross-functional stakeholders.
  • Direct collaboration with AI researchers, data scientists, engineers, and senior product managers.
  • Mentorship from the Director of AI Research & Development.
  • Exposure to frontier AI technologies and machine learning architectures.
  • Culture centered on open-minded innovation, data-driven decisions, partner focus, initiative, and accountability.

Hiring process

  • Phone interview and video interview.
  • Technical review and reference checks.
  • Executive review followed by an offer.

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