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Databricks Associate Product Manager New Graduate Program 2027 Applications Open

Databricks Associate Product Manager New Graduate Program 2027 Applications Open
Databricks Associate Product Manager New Graduate Program 2027 Applications Open

Databricks is recruiting new graduates for its Associate Product Manager (APM) Program beginning in 2027. According to the supplied information, the program offers recent graduates the opportunity to work alongside product managers, engineers, designers, and company leaders while helping build products across Databricks’ Data and AI Platform.

The APM program is designed to develop future product leaders by providing mentorship, hands-on product ownership, and experience solving real customer challenges.


About the Databricks Associate Product Manager Program

According to the supplied information, Associate Product Managers work closely with customers and internal teams to understand complex business problems and develop scalable product solutions.

Participants join the 2027 APM Cohort, where they receive:

  • A dedicated manager.
  • A dedicated mentor.
  • Collaboration with engineers and designers.
  • Exposure to product managers and company leadership.
  • Opportunities to work across multiple product teams.

Hiring is available across several product areas, including:

  • AI Platform
  • Genie
  • Machine Learning
  • Unity Catalog
  • Databricks SQL
  • ETL
  • Streaming
  • EDA

Program Summary

OrganizationDatabricks
ProgramAssociate Product Manager (APM) – New Graduate
Start Year2027
Job TypeFull-Time
LocationsBellevue, Washington; Mountain View, California; San Francisco, California
SalaryUS$133,000–US$150,000 per year

Key Responsibilities

According to the supplied information, Associate Product Managers will:

  • Understand customer challenges and identify product opportunities.
  • Prototype and validate product ideas with customers and engineers.
  • Collaborate with engineers and designers to build features.
  • Manage projects from design through launch and iteration.
  • Build products with scalability, quality, and security in mind.
  • Analyze customer feedback and product usage.
  • Help develop features for the Databricks platform.

Product Areas

According to the supplied information, APMs may work with teams supporting:

  • Artificial Intelligence Platform
  • Machine Learning
  • Databricks SQL
  • Unity Catalog
  • Streaming
  • ETL
  • Genie
  • Enterprise Data Analytics (EDA)

Eligibility Requirements

According to the supplied information, applicants should:

  • Graduate in Fall 2026 or Spring 2027.
  • Earn a Bachelor’s or Master’s degree in Computer Science or a related engineering field.

Applicants should also have:

  • Experience using AI tools for productivity and development projects.
  • Some hands-on experience with SQL and/or Python.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts clearly.
  • Interest in solving ambiguous problems collaboratively.
  • Curiosity and willingness to learn new technologies and customer domains.

Salary

According to the supplied information, the expected local salary range is:

US$133,000–US$150,000 per year

The supplied information also notes that total compensation may include:

  • Annual performance bonus.
  • Equity.
  • Employee benefits.

Actual compensation depends on factors such as skills, experience, certifications, training, and work location.


Benefits

According to the supplied information, employees may be eligible for:

  • Comprehensive employee benefits.
  • Annual performance bonus.
  • Equity opportunities.

The supplied source does not list the specific employee benefits available for this position.


About Databricks

According to the supplied information, Databricks is a data and AI company serving more than 10,000 organizations worldwide, including over 50% of the Fortune 500.

The company was founded by the original creators of:

  • Lakehouse
  • Apache Spark™
  • Delta Lake
  • MLflow

Databricks develops the Data Intelligence Platform, helping organizations unify data, analytics, and artificial intelligence.


Who Can Apply?

According to the supplied information, applicants should:

  • Graduate in Fall 2026 or Spring 2027.
  • Hold or be completing a Bachelor’s or Master’s degree in Computer Science or a related engineering discipline.
  • Demonstrate technical, analytical, and communication skills suitable for product management.

How to Apply

Step 1

Visit the Databricks Careers website.

Step 2

Locate the Associate Product Manager, New Grad (2027 Start) position.

Step 3

Prepare your resume and any required application materials.

Step 4

Complete the online application.

Step 5

Submit your application for consideration.


Frequently Asked Questions

What is the Databricks Associate Product Manager Program?

According to the supplied information, it is a full-time new graduate program that prepares participants for product management careers through mentorship, collaboration, and hands-on product development.

Where are positions located?

The supplied information lists the following locations:

  • Bellevue, Washington
  • Mountain View, California
  • San Francisco, California

What salary does Databricks offer?

According to the supplied information, the expected salary range is US$133,000–US$150,000 per year.

Which degrees are eligible?

Applicants should graduate with a Bachelor’s or Master’s degree in Computer Science or a related engineering field.

What technical skills are preferred?

According to the supplied information, applicants should have experience with:

  • AI tools
  • SQL and/or Python

Conclusion

The Databricks Associate Product Manager New Graduate Program 2027 offers an excellent opportunity for aspiring product managers to launch their careers at one of the world’s leading data and AI companies. According to the supplied information, participants will receive mentorship, collaborate with experienced cross-functional teams, gain ownership of product initiatives, and earn a competitive salary while contributing to innovative data and AI solutions.


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