採用
福利厚生
•Equity
必須スキル
Python
SQL
As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations to ensure the features we design and ship deliver outstanding user experiences.
Depending on your background, you will focus on one of two critical product areas:
OLTP Databases
You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.
Data Governance
You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar technologies).
This role requires you to deeply understand both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and identify opportunities to improve the product experience.
You will act as a bridge between technical field teams and product and engineering. Insights from customer Po Cs, benchmarks, and real-world implementations will directly inform product decisions. You will also help ensure that product improvements are clearly communicated back to the field.
The impact you will have
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Identify and drive impactful product improvements in your domain of expertise
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Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
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Shape and prioritize a meaningful product roadmap
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Support go-to-market efforts and guide product adoption
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For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data Intelligence Platform
What we look for
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5+ years of experience with a strong, hands-on technical background
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Strong empathy for customers across full spectrum of Data Platform users
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Deep domain expertise in one of the following:
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Transactional databases (OLTP), cloud-native databases, or distributed systems
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Data governance, data catalogs, lineage, and access management
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Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
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Strong Python and SQL skills
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Experience using AI-assisted development tools
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Experience with systems design and architecture
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Proven ability to work effectively across product, engineering, and technical field teams
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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0
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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
2.5
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
Coinbase Scales Real-Time Security - Databricks
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1d ago
Databricks partners with OpenAI on GPT-5.5 - Databricks
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News
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2d ago
AI App Development: Guide To Building AI-Powered Apps - Databricks
Databricks
News
·
2d ago
Deloitte South Asia: Status stuck on "Virtual Screening" for 3+ weeks (Databricks + PySpark role)
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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