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AI-First Digital Marketing Intern

Pyxl
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About Pyxl

Pyxl is a digital services and AI solutions company that helps brands drive revenue growth and operational efficiency through strategy, design, marketing, technology, and applied AI. For more than 18 years, Pyxl has partnered with organizations on work spanning digital brand identity, creative and UX design, web development and engineering, AI-driven marketing, generative AI consulting, automation, and AI visibility.

Today, Pyxl is increasingly focused on helping clients integrate AI into the way they market, operate, and build digital experiences.

Role Overview

Pyxl is looking for an AI-First Marketing Intern who already uses AI as a core part of how they research, strategize, create, automate, analyze, and optimize marketing.

This is not a traditional marketing internship with occasional ChatGPT use added on top.

We are looking for an emerging AI-native marketer / marketing technologist who understands how tools like ChatGPT, Claude, AI agents, automation platforms, analytics tools, and marketing systems can work together to produce better marketing outcomes.

The strongest candidate will be interested in using AI across the full marketing process — from research and audience insights through content, paid media, SEO/AEO, CRM, automation, reporting, and optimization.

This person should be excited by questions like:

  • How can AI help us market this more intelligently?
  • What parts of this workflow can be automated or improved?
  • How can we connect research, content, data, and execution into a smarter system?
  • How can AI help us get better results instead of simply producing more content?

What You’ll Do

  • Support marketing strategy and execution across Pyxl client accounts and internal initiatives.
  • Use AI to conduct audience, competitor, market, keyword, customer, and industry research.
  • Turn AI-assisted research into useful marketing insights, positioning, messaging, campaign ideas, and recommendations.
  • Support social media strategy, content planning, captions, Reels/Stories concepts, scheduling, platform research, and performance analysis.
  • Create and refine marketing copy across social, paid media, email, websites, landing pages, blogs, and campaigns.
  • Support SEO, AEO, GEO, and AI-search initiatives through keyword research, FAQ development, content optimization, competitive research, and visibility analysis.
  • Support paid media across channels such as Meta and Google through research, audience development, creative testing, reporting, performance analysis, and optimization support.
  • Use AI to analyze campaign and marketing performance data and identify trends, insights, and recommended actions.
  • Support CRM, lifecycle, email, and customer-journey marketing.
  • Explore AI agents and agentic workflows that can support marketing, sales, research, customer service, reporting, and content operations.
  • Help build repeatable AI-enabled marketing workflows rather than completing every task manually.
  • Explore automation opportunities across research, content production, lead generation, reporting, CRM, and campaign execution.
  • Use AI to help personalize marketing content, messaging, and outreach where appropriate.
  • Test emerging AI and MarTech tools and recommend useful applications for Pyxl or client work.
  • Help document AI workflows so successful processes can be repeated, improved, and scaled.
  • Collaborate with marketing, strategy, design, development, and client teams.

What “AI-First” Means at Pyxl

Being AI-first does not mean simply using ChatGPT to write captions, blog posts, or brainstorm ideas.

We are looking for someone who thinks about AI as part of the marketing operating system.

A strong AI-first marketing workflow might look like:

Research → Insights → Strategy → Campaign Development → Content & Creative → Execution → Automation → Measurement → Optimization

An AI-first marketer should be able to:

  • Choose the right AI tool for the problem.
  • Use AI for research and analysis, not only content generation.
  • Build multi-step workflows.
  • Understand how AI can connect to marketing systems and data.
  • Use agents or automation where appropriate.
  • Evaluate AI output critically.
  • Fact-check and QA generated work.
  • Maintain brand voice and strategic consistency.
  • Recognize when human judgment should lead.
  • Measure whether AI actually improves the marketing outcome.
  • Turn successful processes into repeatable workflows.

AI should help make marketing smarter, faster, more scalable, and more effective — not simply generate more output.

Required Qualifications

  • Strong foundational understanding of marketing, communications, advertising, business, or a related discipline.
  • Demonstrated hands-on experience using generative AI as part of a real marketing workflow.
  • Experience using AI for more than basic writing or brainstorming.
  • Demonstrated experience using AI to improve or automate a multi-step marketing process.
  • Strong written communication and copywriting ability.
  • Ability to research, synthesize information, and turn findings into useful marketing recommendations.
  • Comfortable working across multiple marketing channels.
  • Interest in AI agents, automation, marketing technology, analytics, and emerging AI capabilities.
  • Ability to explain how AI contributed to a project or workflow.
  • Strong attention to detail and ability to review AI-generated work critically.
  • Ability to work independently in a remote environment and collaborate with a distributed team.
  • Current college senior or comparable early-career candidate.

Preferred Qualifications

Experience in one or more of the following areas is especially valuable:

AI / Agentic Marketing

  • AI agents
  • Agentic workflows
  • Custom GPTs
  • Multi-step AI workflows
  • AI-assisted marketing operations
  • AI orchestration
  • Human-in-the-loop automation
  • AI-powered research workflows
  • Prior experience building or using AI agents, agentic workflows, or connected AI systems is strongly preferred.

Digital Marketing

  • Social media marketing
  • Content marketing
  • Digital campaign strategy
  • Paid media
  • Performance marketing
  • Email marketing
  • Lifecycle marketing
  • CRM
  • Conversion optimization

Search / AI Visibility

  • SEO
  • AEO / Answer Engine Optimization
  • GEO / Generative Engine Optimization
  • AI-search visibility
  • LLM visibility
  • Keyword research
  • Content optimization
  • Competitive search research
  • Familiarity with SEO, AEO, GEO, AI-search visibility, or LLM optimization is a plus.

Data / Analytics

  • Marketing analytics
  • Campaign reporting
  • Audience insights
  • Customer research
  • Performance analysis
  • ROAS / ROI analysis
  • Dashboarding
  • Data visualization
  • Experimentation and testing

Automation / MarTech

  • Marketing automation
  • CRM workflows
  • Lead enrichment
  • Lead scoring
  • Workflow automation
  • Content automation
  • Automated reporting
  • Personalization workflows
  • Sales and marketing alignment
  • Experience with automation platforms such as Zapier, Make, n8n, HubSpot workflows, or similar tools is preferred.

Project Experience

  • Agency experience
  • Freelance work
  • Student organizations
  • Startup projects
  • Real client work
  • Marketing competitions
  • Personal AI projects
  • Independent experimentation with emerging AI tools

Tools & Platforms

Candidates do not need experience with every tool listed below.

We care more about how candidates use tools together and whether they can apply them to real marketing problems.

Relevant experience may include tools such as:

Core AI

  • ChatGPT
  • Claude
  • Gemini
  • Custom GPTs
  • AI agents
  • Other advanced AI assistants or models

Marketing / CRM

  • HubSpot
  • Later
  • Semrush
  • Similar CRM, social, marketing, or SEO platforms

Paid Media / Analytics

  • Meta Ads
  • Google Ads
  • Google Analytics / GA4
  • Search Console
  • Other paid media and analytics tools

Automation

  • Zapier
  • Make
  • n8n
  • APIs
  • Webhooks
  • Connected AI workflows
  • CRM automation
  • Automated reporting systems

Project / Workflow Management

  • Asana
  • Similar project-management or collaboration platforms

Bonus

  • Experience connecting AI with spreadsheets, CRMs, marketing platforms, databases, or other business systems
  • Familiarity with MCP/connectors, API-based workflows, or emerging agent infrastructure

Work Samples / Project Examples

Candidates must submit at least one example of an AI-enabled marketing project, workflow, automation, agent, campaign, case study, or personal experiment.

A traditional marketing portfolio is not required.

We are especially interested in seeing how candidates think and operate, not just polished final output.

Strong examples may include:

  • AI-powered marketing campaigns
  • AI agents
  • Automated marketing workflows
  • Social media systems
  • Paid media projects
  • SEO/AEO/GEO projects
  • Marketing analytics dashboards or reporting
  • CRM or lifecycle workflows
  • Lead-generation or enrichment systems
  • Personalized marketing workflows
  • Campaign research and strategy
  • Content systems
  • Independent AI marketing experiments

Where possible, candidates should explain:

  • What marketing or business problem they were solving
  • Which AI tools they used
  • Why they selected those tools
  • How different tools were connected
  • What was automated
  • What still required human judgment
  • How they reviewed or validated AI output
  • What results or efficiencies were achieved
  • Whether the workflow could be repeated or scaled

What Would Make a Candidate Stand Out

We would be especially interested in someone who has:

  • Built or used an AI agent for a real marketing task.
  • Created a multi-step AI workflow rather than using one AI tool in isolation.
  • Connected AI to a CRM, marketing platform, spreadsheet, database, or automation tool.
  • Built an automated competitor, audience, market, or lead-research workflow.
  • Used AI to analyze campaign performance and recommend optimizations.
  • Built AI-assisted social or content workflows spanning research through reporting.
  • Used AI to support paid media research, creative testing, audience analysis, or campaign optimization.
  • Built lead-enrichment, personalization, or prospecting workflows.
  • Experimented with AEO, GEO, AI-search visibility, or LLM optimization.
  • Created an automated reporting or insights workflow.
  • Used AI to connect marketing, sales, and customer-service processes.
  • Built a workflow that saved meaningful time or improved output quality.
  • Can point to measurable results, efficiency gains, or meaningful learnings from an AI-enabled project.
  • Independently experiments with emerging AI and MarTech tools.
  • Understands not only how to use AI, but when not to use it.

Internship Details

  • Type: Part-time internship
  • Compensation: Starting at $15/hour, subject to applicable state and local minimum wage requirements.
  • Hours: Approximately 20–29 hours per week
  • Work arrangement: Fully remote
  • Duration: 6+ months
  • Candidate profile: Primarily college seniors and comparable early-career candidates

What You’ll Gain

  • Hands-on experience inside an AI-enabled digital agency.
  • Exposure to real client marketing work and direct client collaboration.
  • Experience using AI across research, content, strategy, paid media, SEO/AEO, analytics, CRM, and automation.
  • Experience experimenting with AI agents and agentic workflows.
  • Opportunities to build portfolio- or résumé-quality AI marketing projects.
  • Experience applying AI to real business and marketing problems rather than only classroom exercises.
  • Exposure to marketing technology, workflow automation, and emerging AI tools.
  • Experience collaborating across marketing, strategy, design, development, and client teams.
  • Opportunities to identify and test new ways AI can improve agency marketing workflows.
  • Potential opportunity for continued work based on performance, business needs, and mutual fit.