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TensorWave

Performance Marketing Intern

Location
Las Vegas, NV, US
Arrangement
On-site
Employment type
Internship
Level
Intern
Posted
5 October 2026 (26 days ago)

Checked 26 days agoApplications go to the employer, never to RoleSprint

About this role

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 are hiring a Performance Marketing Intern to support acquisition and lifecycle marketing for our AI cloud infrastructure platform. In this role, you will write technical ad and email copy, track lead generation pipelines, and audit competitor positioning. You will handle execution, CRM data tracking, and campaign reporting across B2B channels like Google Search, LinkedIn, and email to help scale our compute platform efficiently.

What You’ll Do

- Write ad copy variants targeting developers, AI engineers, and tech founders across Google Search, LinkedIn, and developer-focused channels.

- Build weekly performance reports tracking cost per lead (CPL), landing page conversion rates (CVR), and pipeline velocity.

- Draft, test, and QA email campaigns within the CRM, including product updates, technical newsletters, and automated onboarding sequences.

- Monitor lead tracking, UTM consistency, and CRM lead scoring data to ensure clean conversion reporting.

- Audit competitor pricing, messaging, and positioning across the AI compute and cloud infrastructure landscape.

Who You Are

Required Qualifications

- Pursuing or completing a degree in Marketing, Computer Science, Business, or a quantitative field.

- Familiarity with B2B growth channels (Google Ads, LinkedIn Ads) and core metrics (ROAS, CAC, CPL, pipeline value).

- Ability to write clear, accurate copy for a highly technical target audience without using fluff or consumer marketing clichés.

- Proficiency in Google Sheets or Excel for data cleaning, basic analysis, and reporting.

- Strong attention to detail regarding tracking links, lead flow formatting, and data hygiene.

- Strong curiosity and drive to quickly learn complex AI infrastructure concepts, developer tooling, and new marketing software on the job.

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 accomodations@tensorwave.com.

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.

Work location

  • Las Vegas, NV, US

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About this listing

Advertised by Tensorwave and published on Ashby, the applicant tracking system they use.

RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.

Published 5 October 2026, last checked 26 days ago. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.

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