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Sr. Technical Program Manager (Release Management)

Databricks

Sr. Technical Program Manager (Release Management)

Databricks

Berlin, Germany

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Generous paid time off and holidays

Team events and activities

Flexible work arrangements

Equity

Healthcare

Flexible Hours

Required Skills

JavaScript

Python

Node.js

P-1487

Do you excel at driving operations at scale? Do you like to and lead process improvements to ensure their success? Are you passionate about Release Management and building relationships across organizations? If you are, then join us at Databricks!

We're building a team of passionate Technical Program Managers to create and guide Release Management processes across our Engineering organization.

  • You will implement and improve release processes for code through development, test, and production environments

  • You will work with our engineering and product team members to ensure Databricks solutions are engineered for reliability, scalability, and security - all while keeping operations top of mind

  • You'll guide the direction of cross-cloud programs, set engineering goals and launch programs at scale

  • You'll be front and center of organizing controls, governance and standards across our infrastructure to achieve product stability and at least four nines of uptime

  • You'll be reporting to a Technical Program Leader while working across multiple time-zones, seeing around corners to identify blockers, and ensuring needs are balanced against technical requirements

What we look for:

  • 5+ years of technical program/project/relationship management experience

  • Bachelor's degree in a related field (EE, Computer Science, Computer Engineering, Software Engineering)

  • Experience leading cross-functional teams to complete projects with multiple dependencies and constraints

  • Experience defining releases, identifying risks, managing cost, coordinating scope, identifying dependencies, scheduling and deploying new products and features

  • Experience creating and cascading processes through an organization

  • Knowledge of SQL

  • Experience using Jira

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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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

Mid/L4

Senior/L5

Mid/L4 · Corporate Development Manager

1 reports

$171,004

total / year

Base

$148,699

Stock

-

Bonus

-

$171,004

$171,004

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