Performance Marketing Intern
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.
Skills
As published by ashby · 17 questions · 1 written answer
Basics
Name, Email, Location, Resume
Short answers (8)
- Phone Number
- LinkedIn optional
- GitHub optional
- Portfolio optional
- Other URL optional
- School / University Name
- Major / Field of Study
- Expected Graduation Date optional
Pick from a list (8)
- Current Year
- Are you currently located in Las Vegas, NV?
- If you are not currently located in Las Vegas, would you be willing to relocate for the full duration of the internship (May 25, 2027 – August 20, 2027)?
- Are you available for the full duration of the internship from May 25, 2027 – August 20, 2027?
- Are you available to work onsite in Las Vegas Tuesday through Friday during this period?
- Are you legally authorized to work in the United States?
- Will you now or in the future require authorization to work in the United States?
- How did you hear about this internship?
Written answers (1)
- Is there anything else you would like us to know? optional