Technical Program Manager Summer Internship – 2025 (US)

****Applications must be submitted directly on amazon.jobs. Applications submitted via Handshake will NOT be reviewed.**

Amazon internships are full-time positions, and interns should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day.

Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. By applying to this position, your application will be considered for all technical program manager (TPM) summer internship roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).

You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.

TPM interns apply project management best practices to make the team you work with more efficient. You will be responsible for driving projects from initiation through delivery, collaborating with many different teams to complete a whole product. As a TPM intern, you know how to apply technology to solve problem and take the time to fully learn the products and systems involved with your projects.


Key job responsibilities
As a Technical Program Manager intern, you may:
• Collaborate and partner with business teams to define and solve problems that impact customers.
• Define project requirements and work to clarify the technical implementation by driving design discussions
• Identify predictors and causes of business related problems and implement novel approaches related to forecasting and prediction.
• Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations.
• Build relationships, identify stakeholders, and influence other teams across organizations and external teams.
• Define analytical approaches to uncover new insights and formulate recommendations that improve processes.
• Influence technology at the component level.
• Interface with engineering disciplines to deliver project requirements


A day in the life
Our internship program provides hands-on learning and building experiences for students who are interested in a career in industrial design engineering. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting.

BASIC QUALIFICATIONS

• Currently working towards a Bachelor’s, Master's, or Doctorate Degree in Computer Science, Computer Engineering, Electrical Engineering, or related field with an expected conferral date October 2025 – December 2028.
• Previous program or project management experience.
 

PREFERRED QUALIFICATIONS

• Understands the industry technologies in program or product domain (e.g., hardware, network, software, systems) and how to apply those technologies to solve problems
• Able to dive deeply into technical details (e.g., key dependencies, design choices, operability, etc.) and drive constructive discussions with engineers.
• Strong technical, problem-solving and communication skills
• Problem-solving mind-set, proactive issue resolution skills and ability to manage multiple priorities
• Can transform raw thoughts into clear technical documentation and/or direction.
• Knows how to collect data (e.g., from log files, data stores, SQL, potentially via API, etc.)
• Understands a broad range of techniques for conducting technical analysis and know when to use them.