採用
福利厚生
•Flexible Hours
必須スキル
Jira
Confluence
P-1345
You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data.
This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.
The impact you will have:
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Own the end-to-end product management process
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Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
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Drive launches with product marketing through blog posts, release notes, webinars
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Define and measure OKRs for your products
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Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.
What we look for:
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6+ yrs of experience
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Bachelors degree in Computer Science or similar field
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Experience in Product Management (inbound, outbound, cross-functional processes)
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Technical skills
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Solid understanding of cloud infrastructure (AWS, Azure)
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Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits:
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
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Databricksについて

Databricks
Series IDatabricks, Inc. is an American software company based in San Francisco. It was founded in 2013 by the original creators of Apache Spark. It offers a cloud-based platform for data analytics and artificial intelligence.
6,000+
従業員数
San Francisco
本社所在地
$43B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.5
報酬
4.0
企業文化
4.2
キャリア
3.5
経営陣
4.0
72%
友人に勧める
良い点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good compensation and benefits
改善点
Long hours and heavy workload
Poor work-life balance
High pressure and stress
給与レンジ
34件のデータ
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L3
0件のレポート
$237,075
年収総額
基本給
-
ストック
-
ボーナス
-
$201,514
$272,636
面接体験
5件の面接
難易度
3.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 80%
ネガティブ 20%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Hiring Manager Interview
6
Onsite/Virtual Interviews
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
ニュース&話題
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Hi everyone, I applied for the T&T Engineering - Databricks + PySpark role at Deloitte South Asia (Bengaluru). Timeline: Received the non-technical virtual screening mail on March 28th and completed it on March 30th. Current Status: The portal still shows "Virtual Screening." It’s been over 20 days and I haven’t received any update or technical interview invite. 1.Is anyone else in the same boat for this specific role or at Deloitte South Asia recently? 2.Does Deloitte usually ta
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2d ago
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