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Internship Amazon Hospitality Jobs (NOW HIRING)

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$13

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$38

How much do internship amazon hospitality jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for internship amazon hospitality in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is an internship in Amazon Hospitality?

An Internship in Amazon Hospitality refers to a temporary, structured work experience program offered by Amazon, focusing on hospitality-related roles such as customer service, guest experience, and operations management. Interns gain hands-on exposure to Amazon’s hospitality initiatives, which may include Amazon’s physical retail spaces, Amazon Fresh stores, or other customer-centric environments. The internship provides training, mentorship, and the opportunity to work on real projects, helping students or recent graduates develop skills relevant to the hospitality industry while learning about Amazon’s business operations. Successful interns may also be considered for full-time roles upon completion of their studies.

What types of projects and responsibilities can I expect during an internship in Amazon Hospitality?

As an intern in Amazon Hospitality, you can expect to work on a variety of impactful projects, such as assisting with operational improvement initiatives, analyzing customer feedback, and supporting the launch of new hospitality services. Interns often collaborate closely with experienced teams in areas like guest experience, business analytics, and partner relations. This hands-on experience not only provides insight into Amazon's fast-paced work environment but also helps develop valuable skills in project management and cross-functional teamwork. You’ll have regular opportunities to present your findings and contribute ideas, making your input integral to ongoing projects.

What are the key skills and qualifications needed to thrive as an Amazon Hospitality intern, and why are they important?

To thrive as an Amazon Hospitality Intern, you generally need strong organizational abilities, attention to detail, and academic coursework or experience in hospitality, business, or related fields. Familiarity with hospitality management systems, Microsoft Office Suite, and data analysis tools is often expected. Excellent communication, teamwork, and problem-solving skills help interns adapt quickly and contribute effectively within a dynamic environment. These skills and qualities are crucial for delivering high-quality guest experiences, supporting operational efficiency, and succeeding in Amazon's fast-paced hospitality setting.

How can I get an internship at Amazon Hospitality?

To get an internship at Amazon Hospitality, candidates should apply through Amazon's official careers website, where they can find internship opportunities in hospitality and related fields. Applicants typically need to submit a resume, demonstrate relevant skills such as customer service or hospitality management, and may undergo interviews or assessments as part of the selection process.

What cities are hiring for Internship Amazon Hospitality jobs?

Cities with the most Internship Amazon Hospitality job openings:

What are the most commonly searched types of Amazon Hospitality jobs?

The most popular types of Amazon Hospitality jobs are:

What states have the most Internship Amazon Hospitality jobs?

States with the most job openings for Internship Amazon Hospitality jobs include:

Internship Amazon Hospitality jobs near you
Infographic showing various Internship Amazon Hospitality job openings in the United States as of August 2026, with employment types broken down into 72% Full Time, 27% Part Time, and 1% Temporary. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Associate, Sales Enablement (US)

Code and Theory

New York, NY • On-site

$85K - $90K/yr

Full-time

Posted 10 days ago

Job description

The Associate, Sales Enablement supports seller productivity across The Machine by giving client-facing teams the demos, content, and proof they need to win. Sitting at the intersection of sales and enablement, this hands-on role builds client-specific proof-of-concepts, maintains the demo and sales-content libraries, keeps CRM and competitive materials sharp, and preps account leads for pitches. It's a build-oriented role for someone early in their career who is equal parts technical, organized, and genuinely curious about how sophisticated enterprise buyers make decisions. You'll work across sales, delivery, and creative teams, and see your work land directly in live client conversations.
WHAT YOU'LL DO
  • Translate enterprise client business problems into working proof-of-concepts (built in v0/Vercel or Claude Code), scoped tight enough to move fast but real enough to land with sophisticated buyers
  • Source and integrate real client data and assets (brand fonts, live API integrations, actual client datasets) rather than generic placeholders
  • Maintain and organize the demo repository, keeping builds accessible
  • Run through demos with presenters and account leads before client meetings to flag where the build might not hold up to questions
  • Diagnose which demo format a stakeholder needs based on previous builds
  • Help to maintain the central sales content library (decks, one-pagers, case studies, and battlecards) keeping everything current, versioned, and easy for account teams to find
  • Turn delivered work and client wins into reusable proof, capturing outcomes and context into short, sales-ready case studies
  • Support and maintain the Sales Motion Playbook and competitive positioning materials, editing under the direction of Sales Engineering
  • Build onboarding materials and documentation for new hires joining the Machine team, and maintain a document index/repo for them to review

WHAT YOU'LL NEED
  • 1-3 years of experience (internships included) in agency new business, sales enablement, or a technical-creative hybrid role
  • Hands-on comfort building in low-code and AI tools (v0, Vercel, Claude). You will need to know enough to stand up a working demo
  • Strong prompt engineering skills
  • Strong organizational instincts
  • Ability translate technical capability into plain language for sales teams and clients
  • Comfort with CRM tools (HubSpot, Airtable)
  • Comfort working across sales, delivery, and creative teams
  • Genuine curiosity about AI, marketing technology and how enterprise buyers evaluate it
  • Agility and ability to switch priorities as projects shift
  • Comfort in fast-paced environments

NICE TO HAVE
  • Agency experience
  • Exposure to enterprise or agency sales cycles, new business motions, or client-facing work
  • Familiarity with the modern martech and adtech stack

ABOUT US
Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.
Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.
The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We're always on the lookout for smart, driven, and forward-thinking people to join our team.
The target range of compensation for this role is $85,000 - $90,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and location.

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