Назад
обновлено 8 месяцев назад

Sr. Product Manager, Data Engineering (AI)

115 400 - 204 200$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

TL;DR

Sr. Product Manager, Data Engineering (AI): Leading product management for Lakeflow, a unified product for data ingestion, transformation, and streaming, with an accent on Data Engineering. Focus on shaping the future of data processing and driving data engineering across Databricks' product portfolio.

Location: $115,400—$204,200 USD

Salary: $115,400—$204,200 USD

Company

Databricks is the data and AI company, with over 10,000 organizations relying on its Data Intelligence Platform.

What you will do

  • Lead product management for a core Lakeflow product area.
  • Drive Data Engineering across the Databricks product portfolio.
  • Define and shape the future of data processing, applications, and pipelines.
  • Own the full product development lifecycle from ideation to launch.

Requirements

  • 5+ years of product management experience with enterprise or SaaS products.
  • Background in computer science or related engineering fields.
  • Ability to partner with senior technical leaders in Engineering.
  • Track record of delivering products with cross-functional teams.
  • Analytical skills to make data-driven decisions.
  • Excellent communication skills to convey complex topics clearly.

Nice to have

  • Background in Data Engineering.

Culture & Benefits

  • Comprehensive benefits and perks to meet the needs of all employees.
  • Committed to fostering a diverse and inclusive culture.
  • Equal employment opportunity standards.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →