Atlassian is recruiting an AI Demand Intelligence Intern for its paid Summer 2027 programme in the United States. The twelve-week placement combines marketing analysis, AI experimentation and practical work with a demand-generation team.
This is a marketing-focused AI opportunity. Applicants should understand the commercial problem the team is trying to solve and be able to explain how evidence, experimentation and responsible automation can support better decisions.
Programme and responsibilities
The programme runs between May or June and August or September 2027. Work includes account research, prioritisation models, AI-assisted outreach and measurement. The advertised project retains human approval before messages are sent.
That combination is useful for students who want to connect analytical thinking with communication. It requires attention to both the quality of information entering a system and the usefulness of the recommendations or content it produces.
Eligibility and restrictions
Applicants must be enrolled in a bachelor’s programme, return to study after the internship and graduate by June 2028. The role requires full-time availability of forty hours weekly and is open to entry-level candidates with under one year of professional experience, excluding internships and co-ops.
F-1 and J-1 students are ineligible, and visa sponsorship is unavailable. Read the complete US vacancy for location and contractual conditions. No fixed closing date is confirmed in this article.
Pay and learning support
Atlassian lists hourly ranges by US pay zone: US$43–US$51 in Zone A, US$39–US$44 in Zone B and US$36–US$43 in Zone C. The recruiter should confirm the applicable zone and offer. The programme also describes mentorship and professional development.
Prepare an analytical marketing example
Choose a project where you investigated a question about an audience, campaign or user journey. Explain the question, data available and approach taken. Then describe what the evidence supported and what remained uncertain.
A useful example does not need to involve a large advertising budget. A student project or volunteer campaign can demonstrate structured thinking if you accurately describe the setting and your own role. Distinguish the number of people reached from the number who took a meaningful action.
If you compare two approaches, explain whether the comparison is fair. Differences in audience, timing or message can affect results. Show that you can recognise those limitations instead of presenting every improvement as proof that one change caused the outcome.
Demonstrate responsible AI judgement
Prepare to discuss where a person should review an automated workflow. Consider the accuracy of source information, the relevance of generated content and the consequences of sending a message to the wrong audience. Explain how an error would be noticed and corrected.
For a portfolio sample, use public or synthetic data. Do not upload private contact lists or customer records from another organisation. Label experimental work clearly and avoid suggesting that a demonstration has been deployed by a real company when it has not.
Be ready to explain an AI-assisted project without relying on the tool to answer for you. Describe what you built, which parts you checked manually and how you assessed the result. A small, understandable example is stronger than an impressive-sounding project you cannot explain.
Application preparation
Make your student status, graduation date, availability and relevant experience easy to find. Connect your interest in marketing and AI to specific work you have done or studied. Use precise descriptions of your contribution and avoid overstating technical proficiency.
Review the application form for required documents and acceptable portfolio links. Check that attachments open correctly and that dates match across your CV and online profile. If shortlisted, prepare examples of collaboration, feedback and a decision you revised after examining evidence.
Apply through Atlassian
Use the official vacancy below to confirm current availability and submit an application. The role’s employment restrictions should be reviewed before investing time in a submission. The advice in this article is Opportunities Feed editorial guidance and does not replace Atlassian’s recruitment criteria.
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Keywords: Atlassian internship 2027, AI demand intelligence internship, paid marketing internship, US summer internships, marketing analytics careers
