Databricks предлагает заметную роль в развивающемся направлении данных и ИИ, но указанная зарплата ниже рыночного ориентира, а работа предполагает присутствие в офисе в Сан-Франциско.
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Ниже рынкаПонятная рольСфера ИИ и данных
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
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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