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2 часа назад

Product Manager - Workload Intelligence (AI)

160 000 - 230 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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 - Workload Intelligence (AI): Driving the product lifecycle for SQL workload optimization features, focusing on performance observability, insights, and AI-powered intelligence. Focus on delivering high-quality user experience, defining GenAI-powered tools, and understanding customer needs for impactful feature opportunities.

Location: Onsite in Menlo Park, California, USA

Salary: $160,000–$230,000 USD

Company

hirify.global empowers enterprises and people to achieve their full potential through a culture of impact, innovation, and collaboration.

What you will do

  • Own key features in the "ease-of-optimization" experience, specifically in performance observability, insights, and intelligence, driving product development.
  • Drive product launches end-to-end, ensuring rapid iteration and execution of your features.
  • Write clear, functional specifications and champion workload optimization improvements, including supporting GenAI-powered tool development.
  • Continuously conduct customer research to understand needs and identify impactful feature opportunities.
  • Collaborate effectively across functions and organizations, building trust with engineering and design partners.
  • Track usage and health metrics for your features, using data to inform decisions and investments.

Requirements

  • Minimum 2+ years of product management experience.
  • Bachelor's degree in Computer Science, Engineering, or a similar field.
  • Solid technical foundation in databases and analytics fundamentals.
  • Proficiency with SQL, data warehousing, and optimization concepts.
  • Experience using GenAI tools to accelerate product development.
  • English: B2 required.

Nice to have

  • Experience with cloud data services.
  • Experience with performance observability, insights, and recommendations in a data platform context.
  • Experience shipping an AI-enabled feature.
  • Experience working on Go-to-Market (GTM) activities for a feature.

Culture & Benefits

  • Focus on impact, innovation, and collaboration.
  • Emphasis on high ownership, teamwork, and humility.
  • Opportunity to tackle challenging problems in a rapidly evolving company.
  • Opportunity to grow a career within a fast-scaling company.

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