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6 дней назад

Senior Product Manager (Analytics)

135 000 - 155 000$
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
Senior Product Manager (Analytics): Owning the vision, roadmap, data access layer, reporting templates, and go-to-market strategy for an operational analytics product with an accent on data modeling, BI integrations, and customer-facing reporting. Focus on defining data pipeline contracts, exposing anomaly detection and predictive alerting outputs, and connecting shared analytics infrastructure to agentic AI capabilities.

Location: United States; remote

Salary: $135,000–$155,000 annually, plus equity and bonus opportunities.

Company

hirify.global provides an AIOps and IT Operations Management platform for unified visibility, automation, AI, and analytics across hybrid and multi-cloud environments.

What you will do

  • Own the vision and roadmap for Skylar Analytics, covering data modeling, reporting, and query capabilities.
  • Define and deliver connectors, data structures, and Power BI and Superset reporting templates.
  • Collaborate with data engineering and data science to evolve an extensible operational data model.
  • Define the data pipeline contract between Skylar One and the Skylar AI platform.
  • Shape anomaly detection and predictive alerting experiences based on machine learning outputs.
  • Lead go-to-market strategy, positioning, packaging, and customer messaging for Analytics.

Requirements

  • 5+ years of product management experience with reporting, analytics, or business intelligence products.
  • Experience shipping dashboards and reporting templates for non-technical users.
  • Understanding of dimensional modeling, OLAP cubes, schema design, query performance, and analytical pipelines.
  • Hands-on SQL experience and familiarity with ClickHouse, dbt, data warehouses, Superset, Power BI, Tableau, or similar tools.
  • Fluency in data science concepts for collaborating on anomaly detection and machine learning pipelines.
  • Experience with technical product go-to-market, multi-tenant SaaS products, and Jira.

Nice to have

  • Background in IT operations, observability, or infrastructure monitoring.
  • Experience with agentic AI, LLM-powered platforms, OpenTelemetry, or metrics ingestion pipelines.
  • Experience with data governance, cataloging, Apache Superset, or ClickHouse.

Culture & Benefits

  • Medical, dental, and vision plans.
  • 401(k) plan with employer match.
  • Flexible paid time off, volunteer time off, paid parental leave, and a five-year service milestone sabbatical.
  • Employee referral bonus program and pet insurance.
  • Virtual company-wide events and opportunities for learning and professional development.

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