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1 день назад

Principal Product Manager (AI)

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

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TL;DR

Principal Product Manager (AI): Leading the product strategy for engineering intelligence and insights with an accent on data infrastructure, conversational AI interfaces, and decision-ready analytics. Focus on building scalable dashboards for DORA metrics, value stream performance, and AI ROI analysis to empower technical leadership.

Location: Must be based in Canada or the US

Company

hirify.global is an intelligent orchestration platform for DevSecOps, enabling organizations to accelerate software delivery and improve operational efficiency through AI-driven insights.

What you will do

  • Define the multi-horizon roadmap for data analytics and insights, balancing immediate customer needs with long-term platform investment.
  • Partner with engineering leaders to shape core platform capabilities, including data pipelines, storage, and APIs.
  • Design a tiered analytics experience ranging from conversational AI discovery to custom dashboard creation.
  • Prioritize insight workflows for software leaders to measure deployment frequency, cycle time, and AI feature impact.
  • Collaborate with the Knowledge Graph team to ensure insights are powered by connected, cross-lifecycle data.
  • Drive a consistent analytics narrative across product, marketing, and sales to improve market understanding.

Requirements

  • Must be based in Canada or the US
  • Experience defining product vision and driving execution across complex, multi-team product programs.
  • Background building analytics, dashboard, or business intelligence products for technical leadership users.
  • Knowledge of the software development lifecycle and engineering performance measures like DORA metrics.
  • Understanding of data infrastructure, pipelines, and APIs with the ability to partner with data engineering teams.
  • Ability to influence cross-functional teams in a distributed environment without formal authority.

Nice to have

  • Familiarity with AI-powered analytics, conversational interfaces, or knowledge graph concepts.
  • Experience working on technically complex products in adjacent areas.

Culture & Benefits

  • Flexible Paid Time Off policy.
  • Equity compensation and Employee Stock Purchase Plan.
  • Growth and Development fund for continuous learning.
  • Comprehensive health, financial, and well-being benefits.
  • High-performance culture that embraces AI as a core productivity multiplier.
  • Collaborative, asynchronous work environment across global regions.

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