채용
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.
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You will implement and improve release processes for code through development, test, and production environments
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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
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You'll guide the direction of cross-cloud programs, set engineering goals and launch programs at scale
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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
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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:
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5+ years of technical program/project/relationship management experience
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Bachelor's degree in a related field (EE, Computer Science, Computer Engineering, Software Engineering)
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Experience leading cross-functional teams to complete projects with multiple dependencies and constraints
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Experience defining releases, identifying risks, managing cost, coordinating scope, identifying dependencies, scheduling and deploying new products and features
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Experience creating and cascading processes through an organization
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Knowledge of SQL
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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
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+
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
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