招聘
福利待遇
•Learning
•Parental Leave
必备技能
Jira
Confluence
Amplitude
RDQ426R242
Databricks is a powerful, technical platform used by a diverse and growing range of personas, from data scientists and engineers to analysts and business leaders, to developers. To help these users succeed, we need world-class content that is timely, contextual, accurate, and helps users achieve their goals. This leads to faster adoption, lower support costs, and higher customer satisfaction. Achieving this impact requires a strategic shift: treating content as part of the product.
We’re looking for a Product Manager to lead our Content Experience strategy. In this role, you will own how users discover, learn from, and act on content: across documentation, in-product help, AI-assisted guidance, and beyond. You’ll help define the future of content at Databricks by making it a first-class product experience and integrating content development into product development.
What You’ll Do
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Own the content experience end-to-end. You’ll be responsible for how users of Databricks find and engage with content — both in external documentation and within the product itself — making sure it’s helpful, intuitive, and actionable.
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Drive strategic improvements to content tooling and workflows. You’ll define how we author, manage, and deliver content at scale, collaborating with engineering, tech writing, design, and AI teams to improve speed, consistency, and quality.
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Build an architecture of participation. You’ll design systems and tools that enable context experts — from engineers to field teams — to contribute directly to content in ways that are sustainable and scalable.
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Integrate AI to transform content experiences. You’ll partner with our AI platform teams to apply generative AI to the authoring, delivery, and user experience of content — reimagining everything from documentation search to intelligent assistance.
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Define metrics that matter. You’ll track content engagement, time-to-task, support deflection, and user satisfaction — and use these signals to drive ongoing prioritization and iteration.
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Collaborate cross-functionally. You’ll partner closely with engineering, UX, product, tech writing, developer relations, field teams, and customers to ensure the content experience supports our platform’s broad and growing user base.
What We Look For
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7+ years of product management experience, with a proven track record of leading cross-functional initiatives and delivering high-impact user experiences
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Deep understanding of developer tools, data platforms, or technical products with large surface areas
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A strong systems mindset — comfortable designing scalable workflows, content architectures, and tooling integrations
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Experience with developer documentation, content platforms, or product onboarding is a plus
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Strong customer empathy and an obsession with helping users succeed
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Familiarity with AI technologies (especially LLMs) and how they can be applied to content workflows and user guidance
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Experience working with technical and non-technical contributors in a collaborative content ecosystem
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 2 Pay Range
$151,500—$212,175 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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关于Databricks

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+
员工数
San Francisco
总部位置
$43B
企业估值
评价
3.8
10条评价
工作生活平衡
2.8
薪酬
4.0
企业文化
4.2
职业发展
3.5
管理层
4.0
72%
推荐给朋友
优点
Innovative technology and cutting-edge projects
Supportive and collaborative team environment
Good benefits and competitive compensation
缺点
Poor work-life balance and long hours
High pressure and stressful environment
Heavy workload and overtime requirements
薪资范围
34个数据点
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Product Manager L3
0份报告
$237,075
年薪总额
基本工资
-
股票
-
奖金
-
$201,514
$272,636
面试经验
6次面试
难度
3.2
/ 5
时长
21-35周
体验
正面 0%
中性 83%
负面 17%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Coding Round
5
Onsite/Virtual Interviews
6
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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