AI Demand Intelligence Intern, 2027 Summer U.S.

Working at Atlassian Atlassians have the flexibility to work where they can collaborate most effectively with their team, whether at home, one of our global offices, or both. As a distributed-first company, all interviews are conducted virtually. We hire in any country where we have a legal entity. Learn how we work at go.atlassian.com/distributed . Your Future Org Atlassian's Intern program combines hands-on technical training, professional growth opportunities, dedicated mentorship, and strong social connections. This holistic approach empowers students to hit the ground running and sets them up for a successful and impactful career at Atlassian! This position is not eligible for F-1 and J-1 students. Visa sponsorship is not available for this role. Our paid internship program runs for 12 weeks between May/June 2027 August/September 2027. Your Future Team Join Atlassian as an intern and spend your summer with us having an impact on how millions of users see and work with the Atlassian brand and products. As an intern for the Global Demand Campaigns team, you'll focus on helping teams worldwidefrom startups to Fortune 500 companiesget the most out of Atlassian tools. You'll collaborate with Demand Generation Strategists, Product Marketing, and Marketing Operations to create and launch compelling marketing campaigns that bring our products to life. This opportunity as a Demand Generation intern will give your career a head start with support from a collaborative, multi-disciplinary team and experience shaping the direction of our key AI marketing programs. The Global Demand Campaigns (GDC) team crafts and executes digital demand strategies for multiple products and collections across Atlassian. We run our organization like a well-oiled agile team, where top-priority items are easily identifiable and everyone rallies around shared deliverables and each other. An internship with Atlassian will provide you with foundational knowledge across digital demand generation, including ideal customer profiling, persona-based campaigns, campaign channels, attribution, and account-based marketing (focused on 1:many). Responsibilities Pilot a closed-loop AI account engagement engine that decides which accounts to pursue, executes personalized outreach, and hands sales-ready accounts to sellers, putting the "Human + AI Enterprise" story to work on our own funnel. Analyze Account & Prospect Intelligence that enriches each account and key contact with third-party firmographic (industry, size, growth signals), technographic (tech stack, including Jira footprint and competing SPM tools), and buying-committee data. Use AI (The Brain) to understand and apply a propensity + next-best-action model that ranks target accounts and recommends the right move for each (nurture, event invite, or escalate to sales). Build an AI agent (The Hands) that executes the recommended nurture, generates seller-ready account briefings, and notifies the account owner in Slack when an account becomes sales-ready, with a human approving every send. Outcomes feed back into the model so it improves across the three-month internship. Key Deliverables Account & prospect enrichment layer (firmographic, technographic, buying-committee) Account propensity model + next-best-action recommendations (ranked, action-tagged target list) A working (human-in-the-loop) AI nurture agent running against a matched baseline cohort The Account Brief generator : auto-produced, Confluence-ready seller one-pagers Seller notification / Slack delivery when an account crosses the sales-ready threshold A controlled pilot with before/after measurement, an executive results readout, and a packaged, repeatable playbook Measures of Success Overall outcome/impact: A measurable MQL-to-SQL conversion lift (agent-engaged cohort vs. matched baseline), plus account-progression velocity improvement and a clear decision on whether to scale the motion. Key deliverables completion status: Enrichment layer, propen