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. This enables better, safer, and more reliable communication within apps.
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. By reducing the barriers in communication technology, we empower developers to innovate and enhance user interaction across platforms.
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. This internship offers the opportunity to work on one of the fastest-evolving areas of modern marketing while helping shape how developers find and learn about Nylas.
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.
This isn't a traditional marketing internship. You'll combine competitive research, AI experimentation, SEO fundamentals, content strategy, and analytics to help influence how large language models understand and recommend Nylas. If you're excited by emerging AI technologies, enjoy experimenting with new tools, and want to work on real projects with tangible business impact, we'd love to meet you.
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
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.
Currently pursuing an undergraduate degree in Marketing, Communications, Business, English, or a related field.
Undergraduate student (Junior or Senior preferred) or recent graduate within the last 12 months
Hands-on experience with LLM tools: ChatGPT, Claude, Perplexity. You should already use these to think, learn, and get work done.
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. Review Profound University.
Clear writing and comfort working across a distributed marketing team
Comfortable learning new tools quickly and working in a fast-paced, AI-first environment.
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.
Round 1: 30-minute Google Meet discussion with the Hiring Manager
Round 2: Practical exercise. You'll get an old Nylas blog post, review Profound insights, and share how you'd optimize the page for AEO and SEO plus keyword and prompt recommendations.
Round 3: Team loop of two-three 45 minute Google Meet discussions with various cross-functional team members.
Nylas is registered as an employer in many, but not all, states/provinces. If you are not located in or able to work from a state/province where Nylas is registered, you will not be eligible for employment. Visa sponsorship may not be available in certain remote locations.