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14 дней назад

Product Manager (Machine Learning)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
SA
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 (Machine Learning) (E-commerce/AI): Creating and delivering machine learning roadmaps for merchant, marketplace, supply chain, and logistics use cases with an accent on data-driven product strategy, stakeholder alignment, and measurable business outcomes. Focus on defining AI/ML problems, coordinating machine learning engineers, building scalable data products, and balancing long-term product vision with iterative delivery.

Location: Cape Town, South Africa; hybrid working model

Company

hirify.global is a high-growth online retailer serving more than 4.5 million shoppers as part of the hirify.global Group.

What you will do

  • Create and facilitate delivery of machine learning roadmaps for merchant, retail, marketplace, supply chain, and logistics use cases.
  • Identify ML opportunities with business units and prioritize projects based on business impact and stakeholder needs.
  • Collaborate with machine learning engineers and stakeholders to deliver projects against quarterly roadmap timelines.
  • Use quantitative and qualitative data to define product requirements and success metrics.
  • Drive the vertical’s North Star metric through iterative machine learning projects and communicate ML capabilities and limitations across the business.
  • Balance long-term product vision with short-term improvements that address customer and stakeholder needs.

Requirements

  • 7+ years of related and transferable experience or 3+ years of product management experience.
  • Experience leading cross-functional projects, preferably in high-traffic environments.
  • Proficiency with agile methods and project management tools in timeline-sensitive environments.
  • Strong understanding of AI/ML and engineering fundamentals, with the ability to collaborate effectively with machine learning engineers and data scientists.
  • Experience with advanced Google Sheets or Microsoft Excel, MySQL or PostgreSQL, and BigQuery or a similar technology.
  • Strong commercial judgment, data analysis skills, and the ability to translate technical subjects for business stakeholders.

Nice to have

  • Experience delivering machine learning or data products, including defining AI/ML problems, data strategies, ML MVPs, and scaled iterations.
  • Experience using Python or R/RStudio for product decision-making.
  • Bachelor’s degree in Management Science, Statistics, Data Science, or Computer Science.

Culture & Benefits

  • Hybrid work combining office collaboration with working from home.
  • Mentorship and access to online learning through MyAcademy, Udacity, Coursera, and the Naspers Tech Community.
  • Flexible total remuneration package and modern equipment options.
  • Staff discount, birthday leave, free parking, and regular social activities.
  • Confidential counselling, legal support, and financial guidance.

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