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1 день назад

Senior Product Manager (AI & Data Analytics)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
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 Manager (AI & Data Analytics): Driving the development of intelligence and data-driven products for fraud detection and crime fighting with an accent on connecting customer needs with AI/data capabilities. Focus on defining product strategy, shaping scalable technical solutions, and optimizing intelligence workflows in a fast-paced B2B environment.

Location: Remote (Global)

Company

hirify.global develops advanced Data Fusion and AI solutions to protect civilians and private institutions from evolving threats worldwide.

What you will do

  • Define and drive product strategy, roadmaps, and priorities for AI, analytics, and data fusion capabilities.
  • Translate complex operational and business needs into clear product requirements.
  • Collaborate with engineering to design feasible, valuable, and scalable product solutions.
  • Partner with sales and leadership to identify market opportunities and commercial priorities.
  • Analyze customer feedback and market insights to improve product value, usability, and adoption.
  • Conduct competitive analysis of external APIs and technologies to enhance product offerings.

Requirements

  • 5+ years of experience in product management within complex B2B technology environments.
  • Proven track record managing data-heavy products such as AI, ML, analytics, or fraud/risk solutions.
  • Strong technical understanding of cloud-based platforms, APIs, and data flows.
  • Experience working in startup or scale-up environments with a high comfort level for ambiguity.
  • Strong stakeholder management skills to align engineering, sales, and senior leadership.

Nice to have

  • Experience in public safety, law enforcement, fraud detection, or cybersecurity products.
  • Knowledge of graph analysis, data visualization, or big data platforms.
  • Experience with user behavior analysis tools like LogRocket.
  • Experience supporting sales through product demos and customer discovery.

Culture & Benefits

  • Fully remote work environment with flexible hours to promote work-life balance.
  • Yearly performance bonuses and paid medical insurance.
  • Daily lunch and sport/gym allowances.
  • Unlimited Udemy subscription for continuous learning and career growth.
  • Comprehensive onboarding plan and full equipment support.
  • Team-bonding activities including happy hours, company events, and a casual dress code.

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