Go-To-Market Intern

Posted Yesterday
Be an Early Applicant
Bentonville, AR, USA
Hybrid
15-15 Hourly
Internship
Edtech • Software
The Role
Support launch and optimization of Shopify, Amazon, and TikTok Shop storefronts (TikTok prioritized). Clean product catalog and listings, set up tracking and Meta assets, wire shortlinks, build reporting dashboards, and document the process to enable sales and repeatable channel operations within 12 weeks.
Summary Generated by Built In
Apprenticely is working with our company partner, the HaveMore.Space to add a Brand Content & Digital Marketing Intern to their team in Bentonville, Arkansas!
 
Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand.
 
About HMS: 
HMS sells consent education and a fast-growing consumer brand across multiple channels. This intern clears every operational block between where we are today and being sellable everywhere — owning the buildout of our full storefront stack and getting product live, tracked, and selling.
 
What You'll Own:  
  • Storefront buildout: Stand up and optimize HMS across Shopify, Amazon, and TikTok Shop — TikTok Shop is the priority launch lane.

  • Catalog & listings: Clean product data, listings, images, and pricing across all channels.

  • Tracking & attribution: Wire up Incarts shortlinks and connect Meta Business Manager assets.

  • Reporting: Build a simple dashboard showing what's selling by channel so the team can act on it.

12-Week Outcome (Definition of Done): 
All three storefronts live and selling, with TikTok Shop launched, catalog clean, tracking in place, and first orders flowing across channels.

12-Week Arc:

  • Weeks 1–2: Platform access, catalog audit, and setup plan.

  • Weeks 3–4: TikTok Shop launched and live.

  • Weeks 5–12: Optimize all channels, build reporting, and document the setup so it's repeatable.

You're a Fit if You:

  • Are organized, self-directed, and comfortable learning new platforms fast.

  • Have interest or coursework in e-commerce, digital marketing, marketing analytics, or business technology.

  • Want ownership of a real launch, not busywork.

Additional Details:

  • Pay Range: $15/hr
  • Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday
  • Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand
  • Location: Bentonville, Arkansas, Hybrid Schedule (3 days in office) 

Our Must Haves:

  • Current Arkansas state resident
  • Ability to pass a standard background check
  • Ability to work 40 hours a week, following the three-month internship
  • Ability to work full-time in the United States without a current or future need for visa sponsorship
  • High curiosity and interest in learning new technologies and growing or starting your IT career
  • Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know

How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate’s skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program.
 
Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page.  
Check out our YouTube page for past webinars and career tips!
Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter

The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30
SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/

Skills Required

  • Current Arkansas state resident
  • Ability to pass a standard background check
  • Ability to work 40 hours a week for the three-month internship
  • Ability to work full-time in the United States without a current or future need for visa sponsorship
  • High curiosity and interest in learning new technologies
  • Technical aptitude demonstrated via projects, experience, or online learning and ability to communicate it
  • Organized, self-directed, and comfortable learning new platforms quickly
  • Interest or coursework in e-commerce, digital marketing, marketing analytics, or business technology
  • Desire for ownership of a real product launch
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The Company
HQ: Little Rock, AR
13 Employees
Year Founded: 2018

What We Do

Arkansas Center for Data Sciences is a public-private partnership. Our mission is to increase the Arkansas workforce skilled in Data Science and Computer Science; an increase in workforce capability and capacity through partnering with Arkansas universities and colleges, Arkansas corporations and Arkansas State Government. Vision Statement Arkansas is a global leader in the transformation of existing industries through the application of data analytics and related computing capabilities involving the integration of technical and business skills, advancement of talent pipelines and ongoing upgrades to relevant workforce skills.

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