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.
THE ROLEWe're looking for a Senior Podcast Producer to own our podcast output end to end. This isn't just a coordinator role. You'll drive the editorial calendar, manage guest relationships, handle production from recording to publish, and work closely with our video, design, and marketing teams to extend the reach of every episode.
WHAT YOU'LL DOOwn the full production lifecycle: booking, prep, recording, editing, mixing, and publish
Develop and maintain an editorial calendar that aligns with company milestones and industry moments
Book and prep guests: primarily technical and executive-level voices in AI, infrastructure, and enterprise tech
Write show notes, chapter markers, and episode summaries that don't sound like ChatGPT wrote them
Collaborate with our video team on multi-format repurposing (clips, reels, highlight edits)
Manage RSS distribution, platform publishing, and analytics reporting
Establish and document production workflows and quality standards as the department scales
WHAT WE'RE LOOKING FOR4+ years of podcast production experience, with at least some of that in B2B, tech, or media
Strong audio chops: you know your way around Descript, Adobe Audition, or equivalent
Hands-on experience with Riverside.fm, including remote guest management and session troubleshooting
Familiarity with Transistor.fm for RSS management, episode publishing, and analytics
Comfortable with remote and in-person recording setups; you can troubleshoot a bad room or a bad mic without making it a crisis
Sharp editorial instincts: you can identify the moment in a 45-minute interview and build around it
Experience managing guest pipelines and outreach
Ability to work across teams and manage up when needed
NICE TO HAVEExperience with video-first podcast formats
Familiarity with AI/ML or GPU infrastructure topics
Background in content strategy or editorial planning beyond pure production
What We Offer
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 accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in 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.