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2 часа назад

Product Manager, Analytics & Reporting

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

Текст:
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TL;DR
Product Manager, Analytics & Reporting (SaaS/Data & AI): Building and evolving NEOGOV’s analytics and reporting platform with an accent on Looker, Snowflake, cloud data lakes, and AI-powered insights. Focus on designing scalable embedded analytics, integrating natural-language querying and predictive capabilities, and coordinating Product, Design, Engineering, and customer stakeholders.

Location: Remote from anywhere in the US

Company

hirify.global builds SaaS technology for government and education organizations, supporting public-sector HR, compliance, analytics, and workforce operations.

What you will do

  • Define and execute the multi-year roadmap for the Analytics and Reporting platform using Looker, Snowflake, and enterprise data lake infrastructure.
  • Deliver AI-powered capabilities such as natural-language querying, automated anomaly detection, predictive reporting, LLM integrations, and smart summaries.
  • Oversee LookML models, dashboard templates, embedded analytics, self-service BI experiences, data governance, intake standards, and SLA guidelines.
  • Partner with Data Engineering on data modeling, ELT/ETL pipelines, Snowflake warehousing, cloud data lakes, query performance, and migration from legacy tooling.
  • Ensure row-level security, data privacy, and public-sector compliance across analytics and AI capabilities.
  • Align Product, UX, Engineering, QA, Customer Success, and Sales; gather customer feedback, support releases, and track adoption, performance, usage, and satisfaction metrics.

Requirements

  • 5+ years of Product Management experience in SaaS organizations focused on data analytics, business intelligence, or data infrastructure platforms.
  • Hands-on experience with Looker and LookML, Snowflake data warehousing, and cloud data lakes such as AWS/S3, Azure Blob, or GCP.
  • Experience shipping AI/ML features into enterprise software, including natural-language querying, automated insights, or predictive modeling.
  • Ability to influence Product, UX Design, Engineering, and QA stakeholders without direct authority.
  • Ability to interview users, absorb information, and translate findings into user stories, acceptance criteria, samples, and prototypes for development and QA.
  • Ability to collaborate with a Scrum team to deliver documented, valuable features that enable downstream teams to use them.

Culture & Benefits

  • Remote work is available from anywhere in the US.
  • Build data and AI capabilities supporting critical decisions across a public-sector SaaS suite.
  • Collaborate with teams across Product, Design, Engineering, Data Science, Customer Success, and Sales.
  • Work on large-scale, mission-critical systems that help public agencies serve communities.

Hiring process

  • Application questions cover US work-visa sponsorship needs, relevant Product Management experience, reporting and analytics products built, Looker/LookML and Snowflake experience, shipped AI/ML features, and cloud data lake environments used.

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