Full-Time

Sr. Product Manager

Updated on 4/25/2024

Databricks

5,001-10,000 employees

Unified data, analytics, and AI platform

Data & Analytics

Senior

San Francisco, CA, USA

Required Skills

Python

Management

SQL

Marketing

Data Analysis

Requirements

5+ years of product management and related experience with enterprise or SaaS products
Bachelor’s degree in Computer Science or similar field
Experience in Product Management (inbound, outbound, cross-functional processes)
Developer empathy, e.g. worked in developer-facing products or similar
Technical skills incl. Python
Strong data analysis and operationalization skills (SQL & Python, rollups, building operational dashboards)

Responsibilities

Own the end-to-end product management process
Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
Drive launches with product marketing through blog posts, release notes, webinars
Define and measure OKRs for your products
Drive the prioritization and development of features, measurably making it simpler and more cost effective for customers to govern and process petabytes of 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:

Own the end-to-end product management process
Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
Drive launches with product marketing through blog posts, release notes, webinars
Define and measure OKRs for your products
Drive the prioritization and development of features, measurably making it simpler and more cost effective for customers to govern and process petabytes of data.

What we look for:

5+ years of product management and related experience with enterprise or SaaS products
Bachelor’s degree in Computer Science or similar field
Experience in Product Management (inbound, outbound, cross-functional processes)
Developer empathy, e.g. worked in developer-facing products or similar
Technical skills incl. Python
Strong data analysis and operationalization skills (SQL & Python, rollups, building operational dashboards)

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.

Local Pay Range

$115,400—$204,200 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

↑ 114%

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