About TensorWave

Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.

About the Role

We’re looking for a Podcast Producer Intern to join our team during an exciting phase of growth. In this role, you’ll receive hands-on exposure to the full podcast production pipeline for Wave Sessions — from pre-production through post-release growth strategy — while working as a direct assistant to our Senior Podcast Producer.

What You’ll Do

• Guest outreach & research — identify, research, and help pitch potential guests; draft outreach communications

• Location booking — source and coordinate recording locations and logistics

• Industry pulse — stay current on AI infrastructure news and industry happenings to inform the guest and topic pipeline

• Cross-department coordination — liaise with internal departments to gather and track deliverables needed for each episode

• Workflow & organization — help build and maintain production workflow, calendars, and organizational systems for the show

• Growth metrics — compile and track performance and growth metrics across episodes and platforms

• YouTube & SEO strategy — support execution of YouTube optimization and SEO strategy to grow discoverability

Who You Are

Required Qualifications

• Strong organizational skills and comfort managing multiple moving parts across a production calendar

• Clear, professional written and verbal communication for guest and vendor outreach

• Genuine interest in podcasting/media production and in the AI infrastructure space

• Ability to work independently on research and coordination tasks while staying closely aligned with direction from Senior Podcast Producer

• Comfort learning and using growth-tracking and content-scheduling tools

Preferred Qualifications

• Filming and/or video editing experience

• Experience working cross-functionally with diverse teams

Internship Information

• Paid Internship

• May - August (12 weeks)

• Tuesday - Friday, 8 hours

Equal Employment Opportunity

TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.

Reasonable Accommodations

TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact [email protected].

Employment Eligibility

All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.

Background Checks

Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.

Data Privacy Notice

By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.