TensorWave, Inc. logo

Social Content Producer (Shreditor)

Job Overview

Location

Las Vegas, Nevada

Job Type

Full-time

Category

Marketing

Date Posted

June 30, 2026

Full Job Description

đź“‹ Description

  • • As a Social Content Producer (Shreditor) at TensorWave, you will be the visual storyteller who captures authentic, real-time moments that humanize the brand and showcase the people behind the AI infrastructure.
  • • You will follow founders and executives, shoot and edit short-form video content for platforms like LinkedIn, X, Instagram Reels, and YouTube Shorts, and produce same-day or next-day recaps from conferences and events.
  • • TensorWave is building a secure, scalable AI compute platform that removes infrastructure barriers so innovators can focus on breakthroughs—your role ensures their story is seen and felt across social channels.
  • • In this role, you’ll sharpen your run-and-gun production skills, deepen your understanding of AI and tech storytelling, and build a portfolio of high-impact, brand-defining content that reaches technical and executive audiences.

🎯 Requirements

  • • 2+ years creating short-form content for a brand, media company, or as an independent creator
  • • Comfortable shooting on both iPhone and a mirrorless camera
  • • Fast editor: CapCut, Descript, Premiere, or mixture/equivalent
  • • Strong instincts for storytelling and what makes someone stop scrolling
  • • Able to work quickly and independently in fast-moving environments
  • • Comfortable and professional around executives and talent

🏖️ Benefits

  • • Stock Options
  • • 100% paid Medical, Dental, and Vision insurance for Employees
  • • Company Health Savings Account Contributions
  • • 100% paid Short Term and Long Term Disability Insurance for Employees
  • • Flexible PTO and Paid Holidays
  • • Parental Leave

Skills & Technologies

Onsite

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TensorWave, Inc. logo
TensorWave, Inc.
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About TensorWave, Inc.

TensorWave develops and operates an AI accelerator cloud built on AMD Instinct GPUs, targeting large-scale model training and inference. The platform offers on-demand and reserved compute with high-bandwidth memory, InfiniBand networking, and container orchestration, delivered through a web console and API. Designed for generative AI, LLM fine-tuning, and HPC workloads, the service emphasizes AMD performance at competitive pricing, supported by 24/7 operations teams. Based in Las Vegas, Nevada, the company serves hyperscalers, research labs, and enterprises needing GPU capacity beyond NVIDIA ecosystems.

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