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4 дня назад

Senior Product Owner (AI)

Формат работы
hybrid
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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Описание вакансии

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TL;DR

Senior Product Owner (AI): Define, design, and lead innovative AI/ML products and services for identity security platform with an accent on translating strategy into actionable roadmaps and shipping reliable, scalable capabilities. Focus on backlog prioritization, cross-functional execution, and advancing AI/ML innovations including anomaly detection, GenAI/LLMs, and production ML best practices.

Location: Israel (Hybrid)

Company

hirify.global, a Palo Alto Networks company, is the global leader in identity security, securing human and machine identities with AI-powered platform.

What you will do

  • Define and prioritize backlog by gathering requirements, writing epics/user stories with acceptance criteria, aligned to objectives.
  • Drive delivery through Agile ceremonies including stand-ups, planning, reviews, and retrospectives.
  • Bridge business and technology by translating problems into technical requirements and ensuring team understanding of goals.
  • Lead cross-functional execution, partnering across teams to remove blockers and deliver initiatives end-to-end.
  • Advance AI/ML capabilities in supervised/unsupervised learning, anomaly detection, GenAI/LLMs.
  • Champion production ML with MLOps best practices, data governance, explainability, monitoring, and cost/latency budgets.

Requirements

  • 6+ years in Product/PO and/or DS/ML roles with track record of shipping AI/ML to production
  • Ability to grasp functional and technical dimensions of complex AI/ML systems and convert into actionable plans
  • Deep experience in Agile delivery, backlog/roadmap management, and cross-team alignment
  • Excellent verbal, written, and visual communication for technical and non-technical audiences, including executive updates

Nice to have

  • Domain experience in cybersecurity/identity/PAM or analytics platforms
  • Familiarity with LLMs/NLP (transformers, RAG) and classical ML
  • Comfort with MLOps tooling and observability

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