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3 часа назад

Senior Pricing Data & AI Manager (AI)

Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Pricing Data & AI Manager (AI/SaaS): Developing scalable, data-driven pricing and monetization solutions with an accent on AI-enabled models and behavioral analytics. Focus on building pricing simulations, optimizing revenue performance, and establishing experimentation frameworks to validate model-driven recommendations.

Location: Israel

Company

hirify.global is a leading SaaS platform for image and video management.

What you will do

  • Lead the design and hands-on development of AI-enabled pricing models to drive revenue, retention, and acquisition.
  • Build pricing simulations and scenario analyses to evaluate trade-offs between growth, margin, and customer value.
  • Analyze customer usage patterns and behavioral data to identify monetization opportunities and segmentation strategies.
  • Collaborate with Product, Finance, and Sales teams to ensure data-driven alignment with business goals.
  • Develop and maintain scalable data pipelines and tools to support repeatable pricing decisions.
  • Establish pricing experimentation frameworks to test and validate model-driven recommendations.

Requirements

  • 5+ years of experience in data analytics, data science, or a related field.
  • Expertise in applying advanced analytics, statistical modeling, or AI/ML techniques to business problems.
  • Strong understanding of commercial and SaaS monetization models, specifically usage-based modeling.
  • Proven ability to build models hands-on and translate technical outputs into measurable business impact.
  • Experience working cross-functionally with Product, Finance, and go-to-market teams.
  • Bachelor’s degree in a quantitative, technical, or related field.

Nice to have

  • Experience implementing AI/ML models in production environments for business decision-making.
  • Proficiency in Python and SQL for data analysis and modeling.
  • Familiarity with A/B testing methodologies and causal analysis.
  • Experience in B2B SaaS or usage-based commercial environments.
  • Success in influencing monetization through data-driven insights.

Culture & Benefits

  • Culture of inclusivity, operational excellence, and continuous learning.
  • Opportunity to work in a distributed, multicultural environment.

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