refresh

トレンド企業

Trending

採用

JobsDatabricks

Sr. Product Manager, Databricks Free Edition

Databricks

Sr. Product Manager, Databricks Free Edition

Databricks

San Francisco, California

·

On-site

·

Full-time

·

1mo ago

Compensation

$139,900 - $195,850

Benefits & Perks

Stock options or RSUs

Comprehensive benefits

Flexible work

Competitive base salary and bonus

Required Skills

Figma

Mixpanel

Amplitude

RDQ126R51

Mission

At Databricks, we’re on a mission to help data teams solve the world’s toughest problems. The Databricks Free Edition makes it easy for students, enthusiasts, and aspiring professionals to explore data and AI hands-on, gaining the skills and confidence to build the future.

We’re looking for a Senior Product Manager to join the team driving Databricks Free Edition. You’ll collaborate closely with a cross-functional team of product managers, engineers, and designers to create experiences that make learning data and AI engaging, accessible, and impactful.

The Impact You Will Have

  • Help shape and advance the vision, strategy, and roadmap for Databricks Free Edition, contributing to experiences that make learning data and AI engaging and accessible.

  • Collaborate with design, engineering, and education teams to deliver intuitive, hands-on learning journeys within Databricks.

  • Work with academic and learning program partners to support data and AI education through Databricks.

  • Coordinate with other product teams to ensure new features are thoughtfully introduced into Free Edition with the right user experience and guardrails.

  • Engage directly with learners and users to understand their goals, identify friction points, and translate insights into impactful product improvements.

  • Define and track success metrics that measure learning engagement and user outcomes.

What We Look For

  • 5+ years of product management experience, preferably in data, AI, or developer-focused platforms.

  • Strong customer empathy and passion for creating learning and onboarding experiences that empower users.

  • Proven ability to drive cross-functional collaboration across engineering, design, and go-to-market teams.

  • Excellent communication and storytelling skills, able to articulate vision, motivate teams, and simplify complex concepts.

  • Technical proficiency to collaborate effectively with engineering on data and platform capabilities.

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
$139,900—$195,850 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.

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

About Databricks

Databricks

Databricks

Series I

Databricks, 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+

Employees

San Francisco

Headquarters

$43B

Valuation

Reviews

4.2

9 reviews

Work Life Balance

3.5

Compensation

4.7

Culture

4.3

Career

4.5

Management

4.0

86%

Recommend to a Friend

Pros

Working on industry-leading data and AI platform

Excellent compensation with high equity upside

Strong engineering culture with Apache Spark creators

Cons

High intensity work environment with demanding deadlines

Work-life balance can suffer during key releases

Growing pains as company scales rapidly

Salary Ranges

25 data points

Junior/L3

Mid/L4

Staff/L6

Junior/L3 · Data Scientist L3

0 reports

$244,818

total / year

Base

-

Stock

-

Bonus

-

$208,096

$281,540

Interview Experience

9 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

22%

Experience

Positive 22%

Neutral 67%

Negative 11%

Interview Process

1

Application Review

2

Recruiter/Phone Screen

3

Technical Interview/Coding Round

4

System Design Interview

5

Behavioral Interview

6

Final Round/Hiring Manager Interview

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge