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2 дня назад

Senior Data Product Manager (AI Insurance SaaS)

200 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

Senior Data Product Manager (AI Insurance SaaS): Own data products through their full lifecycle, defining product vision and strategy for data-driven features, analytics platforms, or AI/ML powered capabilities with an accent on customer value and business impact. Focus on shaping how data, analytics, and AI are turned into repeatable, scalable product capabilities.

Location: Must be based in the US

Salary: $200,000 - $220,000

Company

hirify.global delivers state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient.

What you will do

  • Own data products through their full lifecycle, from discovery to continuous improvement.
  • Define product vision and strategy for data-driven features, analytics platforms, or AI/ML capabilities.
  • Translate customer and business needs into clear product requirements and roadmaps.
  • Partner with Engineering, Data Science, and other stakeholders to deliver high-impact solutions.
  • Define success metrics and use data to evaluate product performance and guide iteration.
  • Shape how data, analytics, and AI are turned into scalable product capabilities.

Requirements

  • Actuarial or data science background strongly preferred.
  • 3–5+ years working directly for a large insurance carrier or consulting in an actuarial or analytical role or relevant experience in B2B SaaS.
  • Strong ability to work across technical and non-technical teams and communicate clearly.
  • Ability to define, launch, and iterate on products used by real customers.
  • Ability to build data products, analytics platforms, or ML/AI-driven features.
  • Comfortable working in ambiguous, fast-moving environments with a high degree of ownership.

Nice to have

  • Experience in insurance, insurtech, or regulated data-heavy industries.
  • Experience partnering closely with data science or data engineering teams.
  • Experience building data platforms, analytics products, machine learning, or decisioning systems.

Culture & Benefits

  • Compensation: The base salary range is $200-220K, with flexibility depending on background and experience. An annual bonus plan and company equity plan (RSUs) are also included.
  • Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching, plus additional family, wellness, and pet benefits.
  • Home & Family: Paid time off and sick leave, 100% paid parental leave. Flexible schedule for new parents returning to work.
  • Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
  • $1,000/year for professional development and opportunities for tuition reimbursement.
  • Sponsorship: Open to sponsoring candidates currently in the U.S. who need to transfer their active visa.

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