Sr. Product Manager, Data Engineering

Навыки

• Коммуникация
• Решения на данных
• Data Lake
• Маркетинговая стратегия
• Machine Learning
• Роадмап

О компании и продукте

• Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
• At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Data Engineering is foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming

Задачи

• Lead product management for one of the fastest growing products and businesses at Databricks
• Make company wide impact by driving Data Engineering across the Databricks product portfolio
• Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry
• Define, shape, and drive the future of data processing, data applications, and data pipelines
• Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market
• In this role, you will lead product management for a core Lakeflow product area
• You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing
• In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, business intelligence, and machine learning products

Требования

• 5+ years of product management and related experience with enterprise or SaaS products
• Educational or professional background in computer science or related engineering fields
• Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts
• Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.)
• Analytical skills to make data-driven decisions (e.g. analyze product usage)
• Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form
• A background in Data Engineering is a plus but not required

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.