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2 дня назад

Senior Product Manager (Location Intelligence)

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

Senior Product Manager (Location Intelligence): Leading the product lifecycle for cloud-native location intelligence solutions with an accent on API design, SaaS integration, and enterprise data workflows. Focus on leveraging AI-native tools to accelerate discovery, synthesize requirements, and drive data-driven product strategy within a matrixed organization.

Location: Must be based in the United States (100% remote)

Company

hirify.global is a global leader in data integrity, empowering businesses to make confident decisions through a unique combination of software, data enrichment products, and strategic services.

What you will do

  • Lead the end-to-end product lifecycle for location intelligence solutions, from ideation to launch.
  • Design and build SaaS-focused APIs for location intelligence capabilities to enable seamless enterprise integration.
  • Collaborate with engineering, UX, and data teams to develop user-centric features and technical trade-offs.
  • Engage with enterprise customers to identify use cases and synthesize feedback at scale.
  • Work with cloud partners like AWS, Google, Azure, and Snowflake to optimize offerings within modern data ecosystems.
  • Actively apply AI tools across the product lifecycle to accelerate research, prototyping, and competitive analysis.

Requirements

  • Must be based in the United States
  • 4+ years of experience in Product Management.
  • 5+ years of experience in location intelligence, GIS, or related data platforms.
  • 3+ years of experience in designing and building API capabilities in SaaS platforms.
  • 3+ years of experience working with modern data & analytics platforms (GCP, AWS, Azure, Snowflake, Databricks).
  • Proficiency in using generative AI tools for day-to-day workflows and critical output evaluation.

Nice to have

  • Experience with location data vendors and open-source data ecosystems.
  • Knowledge of location intelligence ETL processes and automation.
  • Prior experience working with large enterprise customers in data management.

Culture & Benefits

  • Work from anywhere culture with a distributed environment.
  • Commitment to career development, growth, and learning.
  • Focus on innovation and delivering high-impact data integrity solutions.
  • Collaborative environment centered on core values of Openness, Determination, Individuality, and Collaboration.

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