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AEO Marketing Intern (Part-Time) - Nylas

Fully remoteInternshipEntry-level$46K - $52KUTC-8–-4USUnited StatesSan Francisco+1 more#seoHealthVisa

The Company

At Nylas, we specialize in making it easier for developers to add email, calendar, and contact management features into their applications. We provide APIs, which streamline the integration of these functionalities, ensuring they are secure and effective.

Supporting over 100,000 developers and collaborating with more than 900 companies globally, Nylas plays a pivotal role in how digital communication tools are built and utilized. Our technology spans various sectors, from healthcare to education, simplifying the complex process of app development related to communications.

The Team

The Marketing team at Nylas is responsible for helping developers and technical decision-makers discover, evaluate, and adopt the Nylas platform. We combine product marketing, developer advocacy, content, lifecycle marketing, and growth to tell compelling stories, educate our audience, and drive measurable business impact.

As AI continues to transform how people discover software, we're investing in Answer Engine Optimization (AEO)—ensuring Nylas is accurately represented and recommended across ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini, and other AI-powered experiences.

About the Role

This internship is designed for students entering their junior or senior year of a Marketing, Communications, Business, English, or related program, as well as recent graduates looking to gain hands-on experience in AI-powered marketing. You'll work alongside experienced Product Marketing and Content professionals while owning projects that have real visibility and measurable business impact.

We're looking for a curious, AI-native Marketing Intern to help us improve Nylas' visibility across AI-powered search and answer engines. You'll work alongside Product Marketing and Content to analyze how AI models surface information about Nylas, identify opportunities to improve our presence, and implement content optimizations that drive measurable results.

Internship Details

  • Schedule: Part-time, approximately 20 hours per week
  • Duration: Approximately 6–12 weeks, with flexibility based on your academic schedule and availability
  • Location: Remote within the San Francisco Bay Area or Denver Metro Area to support collaboration with our distributed Marketing team.
  • Working Hours: Flexible, with the expectation that you'll have overlap with the team for meetings and collaboration
  • Start Date: Flexible based on candidate availability and academic calendar
  • Compensation: $22 - $25 per hour

What You'll Do

Answer Engine Visibility

  • Run competitive queries in Profound to see where Nylas shows up across ChatGPT, Claude, Perplexity, Google AI Overviews, and Gemini, and where it doesn't.
  • Track Nylas citation share against Cronofy, Recall AI, Unipile, Cal.com, Aurinko, and Unified.
  • Flag prompts where competitors are being cited but Nylas isn't, and investigate why.
  • Summarize findings and present trends, opportunities, and recommendations to the marketing team.

Page Optimization for AI Citation

  • Audit existing pages for the issues that keep LLMs from citing them: self-promotion bias, thin competitor context, outdated pricing, weak FAQ coverage, missing schema markup.
  • Recommend and implement fixes on high-priority pages (product comparison guides, use-case content, solution pages).
  • Measure the impact of content improvements using Profound and other SEO metrics, iterating based on results.

Content Collaboration

  • Partner with the content team on new blog posts and pages, feeding in AEO insights from Profound.
  • Contribute prompts and queries to test the AI answer landscape for topics before we publish.
  • Keep SEO fundamentals in view since traditional search still matters.
  • Collaborate with Product Marketing and Content teams to identify new opportunities for AI-first content.

What You'll Bring

  • Currently pursuing an undergraduate degree in Marketing, Communications, Business, English, or a related field (Junior or Senior preferred) or a recent graduate within the last 12 months.
  • Hands-on experience with LLM tools: ChatGPT, Claude, Perplexity.
  • Curiosity about how AI-generated answers are sourced, ranked, and cited—and an eagerness to experiment with improving brand visibility.
  • Familiarity with SEO tools (Google Analytics, SEMrush, Ahrefs) is a plus.
  • Exposure to AEO platforms (Profound, Otterly, Peec AI) is a bigger plus.
  • Clear writing and comfort working across a distributed marketing team.
  • Comfortable learning new tools quickly and working in a fast-paced, AI-first environment.

What Nylas Offers

  • Work on an emerging discipline at the intersection of AI, search, and developer marketing.
  • Gain hands-on experience with industry-leading AI visibility and SEO platforms.
  • Partner with experienced marketers and content creators on projects with measurable business impact.

Interview Process

  • Round 1: 30-minute Google Meet discussion with the Hiring Manager.
  • Round 2: Practical exercise reviewing Profound insights and sharing optimization strategies for AEO/SEO.
  • Round 3: Team loop of two to three 45-minute Google Meet discussions with cross-functional team members.

Timezone overlap

UTC-8–-4

Benefits

Health, Visa

Open to

US · San Francisco · United States · Denver

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