Product Management Intern — Launch & Learn, AI/ML Focus

Google; San Bruno (CA); On-site; USD 94,000 - 125,000; Full time

Job summary

Google offers a Product Manager internship for penultimate-year students in PM, CS, or related fields. The program requires you to be located in the United States for the duration and provides an opportunity to work cross-functionally to guide products from concept to launch.

You will collaborate with engineers, designers, marketers, and more to tailor solutions and improve access to information. Individual pay is determined by factors including skills and training.

Qualifications

• Currently enrolled in a degree program within Product Management, Computer Science, Engineering, Data Science, Mathematics, Statistics, or a related technical field.
• Internship or Teaching Assistant experience in product management, software development, or a similar technical field.
• Experience preparing and delivering technical presentations to an audience through internships, coursework, or extracurriculars.
• Experience leading entrepreneurial efforts or outreach within organizations while building cross-functional relationships.

Responsibilities

• Understand markets and user requirements.
• Launch products and features, test their performance, and iterate quickly.
• Work collaboratively with Engineering, Marketing, Legal, and UX on technologies.
• Develop innovative solutions to problems by collaborating as needed across regions, product areas, and functions.

Skills

Presentation skills

Cross-functional collaboration

Entrepreneurial mindset

English communication

Education

Enrolled in degree program (PM/CS or related)

Job description

Google offers a Product Manager internship for penultimate-year students in PM, CS, or related fields. The program requires you to be located in the United States for the duration and provides an opportunity to work cross-functionally to guide products from concept to launch.

You will collaborate with engineers, designers, marketers, and more to tailor solutions and improve access to information. Individual pay is determined by factors including skills and training.