採用
福利厚生
•Learning
必須スキル
Mixpanel
Amplitude
RDQ226R484
Build the Future of Data & AI with Databricks SQL
At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing, helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the fastest-growing data warehouse in the world. Read this seminal blog from Databricks co-founder on What is a Lakehouse?
We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead DBSQL into its next phase of growth.
Why Join Us?
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Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics.
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Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos.
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Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future.
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Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide.
The impact you will have:
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Own and define the product vision, strategy, and roadmap for Databricks SQL
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Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
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Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
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Drive competitive differentiation and positioning in the cloud data warehouse market.
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Collaborate with leadership to align product initiatives with business goals.
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Use data-driven insights to measure success, iterate, and improve user experience.
What we look for:
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5+ years of product management experience (preferably in cloud, analytics, or data platforms).
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Deep understanding of SQL, data warehousing, BI, and analytics use cases.
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Ability to break down complex problems into simple, scalable solutions.
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Strong sense of ownership—you thrive in ambiguity and love solving hard problems
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Experience working with engineers and designers to ship high-impact products.
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Exceptional communication and storytelling skills to inspire teams and stakeholders.
Ready to Build the Future?
If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range**$153,000—$210,450 USD**
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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応募クリック数
0
模擬応募者数
0
スクラップ
0
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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
2.8
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 benefits and competitive compensation
改善点
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
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
6件の面接
難易度
3.2
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 83%
ネガティブ 17%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
ニュース&話題
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3d ago
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News
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4d ago
Introducing Genie Agent Mode - Databricks
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News
·
4d ago
Open Platform, Unified Pipelines: Why dbt on Databricks is Accelerating - Databricks
Databricks
News
·
5d ago