Full-Time

Staff Product Manager

Next Gen Analytics

Confirmed live in the last 24 hours

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics

Senior, Expert

Seattle, WA, USA

Required Skills

Communications

SQL

Data Analysis

Requirements

7+ years of experience leading technically complex enterprise products
Prior success developing and bringing net new products to market
Strong understanding of the business intelligence market and related technologies (e.g. data warehousing, dimensional data modeling, SQL, data visualization)
Excellent verbal and written communication

Responsibilities

Articulate the vision and define the roadmap to democratize data in the Lakehouse
Define product requirements and work closely with engineering and design counterparts to bring products to life
Work closely with customers and field engineering counterparts to develop a deep understanding of customer needs
Lead the charge to make Databricks simpler and more accessible to non-technical persona

RDQ125R35

At Databricks, we have built the most capable platform for data teams to leverage AI and analytics to put their organization’s data to use. Our ambition is to enable everyone, including those outside traditional data-specialist roles, to be able to do the same.You will be the product manager for leading the charge to make the Lakehouse simple to use for non-technical users. This includes evolving our existing experiences within Databricks Intelligence Platform to leverage technical innovations such as large language models (LLMs), and also creating new surfaces to democratize access to data and insights. You will coordinate all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with multiple internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

Articulate the vision and define the roadmap to democratize data in the Lakehouse
Define product requirements and work closely with your engineering and design counterparts to bring products to life.
Work closely with our customers and field engineering counterparts to develop a deep understanding of customer needs
Lead the charge to make Databricks simpler and more accessible to non-technical persona

What we look for:

7+ years of experience leading technically complex enterprise products
Prior success developing and bringing net new products to market
Strong understanding of the business intelligence market and related technologies (e.g. data warehousing, dimensional data modeling, SQL, data visualization)
Excellent verbal and written communication

Benefits

Medical, Dental, and Vision
401(k) Plan
FSA, HSA and Commuter Benefit Plans
Equity Awards
Flexible Time Off
Paid Parental Leave
Family Planning
Fitness Reimbursement
Annual Career Development Fund
Home Office/Work Headphones Reimbursement
Employee Assistance Program (EAP)
Business Travel Accident Insurance
Mental Wellness Resources

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base 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 utilizes 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

$129,000—$228,000 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.

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.

Databricks

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Website

View Company Profile

Databricks offers a Lakehouse Platform that unifies data, analytics, and AI, utilizing Delta Lake, Databricks SQL, and collaborative machine learning solutions to streamline data management and accelerate the machine learning lifecycle.

Company Stage

Series I

Total Funding

$4.2B

Headquarters

San Francisco, California

Founded

2013

Growth & Insights

Headcount

6 month growth

↑ 10%

1 year growth

↑ 35%

2 year growth

↑ 109%

Benefits

Extended health care including dental and vision

Life/AD&D and disability coverage

Equity awards

Flexible Vacation

Gym reimbursement

Annual personal development fund

Work headphones reimbursement

Employee Assistance Program (EAP)

Business travel accident insurance

Paid Parental Leave