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10 дней назад

Staff Product Manager (AI/ML)

143 000 - 286 000$
Формат работы
onsite
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

Текст:
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TL;DR
Staff Product Manager (AI/ML): Leading Sponsored Search product strategy and building AI/ML and platform capabilities that improve shopper intent understanding, ad quality and ranking, advertiser performance, yield, and personalization with an accent on scalable, data-driven advertising products. Focus on defining roadmaps, partnering with Data Science and Engineering, running experimentation, and solving complex multi-objective optimization and real-time decisioning challenges.

Location: San Bruno, California, United States; home office

Annual salary: $143,000–$286,000, plus performance-based bonuses and possible stock compensation.

Company

hirify.global builds advertising products and AI/ML capabilities that help brands and sellers connect with shoppers throughout their shopping journey.

What you will do

  • Define product vision, strategy, roadmaps, and priorities for a major Sponsored Search product area.
  • Build AI/ML and platform capabilities in partnership with Data Science and Engineering.
  • Improve shopper intent understanding, ad quality and ranking, advertiser performance, yield optimization, and personalization.
  • Lead products through problem definition, prioritization, experimentation, launch, measurement, and iteration.
  • Influence cross-functional teams and senior leaders, align priorities, navigate trade-offs, and drive decisions.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related area and 7 years of product management experience, or 9 years of experience in product management or a related area.
  • Experience delivering complex products, platforms, or experiences at scale.
  • Experience partnering with Data Science and Engineering on technical, data-driven products.
  • Strong product judgment, structured thinking, ownership, analytical skills, and a test-and-learn mindset.
  • Ability to understand complex systems and make thoughtful product trade-offs.

Nice to have

  • Experience with AI/ML-powered products, multi-objective optimization, or real-time decisioning.
  • Experience in digital advertising, marketplaces, search and ranking, personalization, bidding, or auction systems.
  • Master’s degree in Computer Science, Engineering, Business Administration, or a related area.
  • Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility practices.

Culture & Benefits

  • Medical, vision, and dental coverage.
  • 401(k), stock purchase options, company-paid life insurance, and disability benefits.
  • Paid time off, sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
  • Education benefits covering tuition, books, and fees for eligible programs.
  • Additional benefits may include company discounts, military leave pay, and adoption or surrogacy expense reimbursement.

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