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8 часов назад

Product Manager Analytics & AI (SaaS)

87 500 - 180 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Analytics & AI (SaaS): Developing a client-facing analytics and AI-powered insights platform for supply chain risk and compliance with an accent on conversational analytics and NLQ capabilities. Focus on integrating LLM-powered infrastructure and Snowflake Cortex to transform complex data into actionable intelligence.

Location: Must be based in the United States

Salary: $87,500 – $180,000

Company

An enterprise-scale SaaS provider specializing in mission-critical supply chain solutions.

What you will do

  • Own the product vision, strategy, and roadmap for AI and analytics capabilities, balancing immediate delivery with long-term innovation.
  • Design and evolve client-facing analytics experiences, including dashboards and tools for assessing supplier readiness and risk.
  • Lead the development of conversational analytics features and natural language query (NLQ) capabilities.
  • Partner with Data Engineering and Data Science teams to leverage LLM-powered and Snowflake Cortex-based infrastructure.
  • Collaborate with Sales and Customer Success teams to drive adoption and refine features based on real-world usage.
  • Utilize AI tools internally to accelerate product research, discovery synthesis, and user story development.

Requirements

  • Must be based in the United States.
  • 5+ years of Product Management experience in a SaaS environment with a history of shipping customer-facing capabilities.
  • Proven experience building and launching external-facing analytics or data-driven products.
  • Technical proficiency with data platforms like Snowflake or Databricks, including an understanding of semantic layers.
  • Familiarity with embedded BI tools such as Tableau, Sisense, Qlik, or Looker.
  • Understanding of AI/ML concepts applied to analytics, including LLM integration patterns and conversational BI.

Nice to have

  • Experience in supply chain, compliance, or risk-related domains.
  • Strong technical credibility when collaborating with ML and data engineers.

Culture & Benefits

  • Competitive annual salary with bonus eligibility.
  • Comprehensive health, dental, and vision insurance.
  • 401(k) retirement savings plan.
  • Paid time off (PTO) and flexible work policies.
  • Inclusive, innovation-driven culture with a strong focus on AI adoption and experimentation.

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