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обновлено 13 дней назад

Sr. Product Manager (Data Engineering)

115 400 - 204 200$
Формат работы
onsite
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
Sr. Product Manager (Data Engineering): Leading product management for a core Lakeflow product area, covering vision, strategy, roadmap, execution, pricing, launch, and go-to-market with an accent on data ingestion, declarative data transformation, and real-time streaming. Focus on shaping data processing, data applications, and data pipelines while enabling Data Engineering across data science, data warehousing, business intelligence, and machine learning products.

Location: San Francisco, California, United States

Salary: $115,400–$204,200 USD per year

Company

Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI applications.

What you will do

  • Lead product management for a core Lakeflow product area.
  • Own product vision, strategy, roadmap, execution, pricing, launch, and go-to-market.
  • Define the future of data processing, data applications, and data pipelines.
  • Drive Data Engineering capabilities across data science, data warehousing, business intelligence, and machine learning products.
  • Partner with Engineering and cross-functional teams across enterprise software.
  • Use product usage data and analytics to guide decisions.

Requirements

  • 5+ years of product management or related experience with enterprise or SaaS products.
  • Educational or professional background in computer science or a related engineering field.
  • Ability to work with senior technical leaders and understand complex technical concepts.
  • Experience delivering products with cross-functional teams, including engineering, sales, marketing, partnerships, and field engineering.
  • Strong analytical, written, and verbal communication skills.
  • Role location: San Francisco, California, United States.

Nice to have

  • Background in Data Engineering.

Culture & Benefits

  • Comprehensive employee benefits and perks, varying by region.
  • Inclusive culture and equal employment opportunity practices.
  • Opportunity to contribute to a large-scale data and AI platform used by organizations worldwide.

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