[Hiring] Marketing Business Operations Intern @Atlassian

Role Description

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. It is not available for any work sponsorship.

Our paid internship program runs for 12 weeks between May/June 2027 – August/September 2027.

The Office of the CMO is looking for an intern to help build the OCMO Insight Engine—an AI-powered solution that turns marketing performance data into concise, decision-ready insights for senior leaders. In this role, you’ll use Atlassian tools, Rovo, and responsible AI practices to develop agents that analyze monthly OKR results, business reviews, and historical trends.

The solution will help identify meaningful changes, surface areas requiring marketing leadership attention, and produce an executive report that highlights the decisions that matter most. This is a hands-on opportunity to work at the intersection of artificial intelligence, business operations, data storytelling, and executive communications.

Responsibilities

• Partner with the Office of the CMO to understand how marketing business reviews (and selected reports) are prepared and used.
• Design and build Rovo-based agents that:
  • Ingest current- and prior-month Atlassian Goals scores and owner commentary.
  • Detect significant changes in key results and overall progress month over month.
  • Draft concise executive-summary bullets explaining the likely drivers of those changes.
  • Flag key results scoring low and generate questions for leadership follow-up.
  • Rebuild a month-over-month trend view without relying on a single reporting surface.
  • Produce a one-screen CMO pre-read (or dashboard) that distills multiple objectives and key results into the most important decision points.
  • Establish a human-in-the-loop review process to validate AI-generated outputs before they are shared with leadership.
  • Test outputs for accuracy, clarity, appropriate executive tone, and usefulness.
  • Document the solution and create a reusable workflow that the OCMO team can operate after the internship.
  • Measure the impact of the solution, including time saved, adoption, read-time, and the quality of decisions surfaced.
  • Explore related automation opportunities, such as:
    • Reminding owners to submit updates.
    • Triage and organization of Marketing Values Awards nominations.
    • Refreshing recurring monthly or quarterly templates (CMO/Marketing Updates).
    • Auditing recurring pages and linked resources for stale information.

What Success Looks Like

• Built a working multi-source insight and trend-detection workflow.
• Generated executive-summary bullets for material changes in key results.
• Created automated low-performing-key-result flags with recommended discussion prompts.
• Delivered a self-rebuilding month-over-month trend view.
• Produced a concise CMO pre-read focused on decision-worthy issues.
• Demonstrated the solution in at least two consecutive monthly review cycles, with only light human editing.
• Documented a quality-assurance process and packaged the workflow for continued use by the OCMO team.
• Quantified the time and effort saved compared with the existing process.

Qualifications

• Currently enrolled in a Bachelor’s degree program in computer science, data science, information systems, business, marketing, communications, or a related field and returning to the program after completing the internship, graduating by June 2028.
• Interest in artificial intelligence, automation, analytics, or business operations.
• Strong analytical and problem-solving skills.
• Ability to work with structured and unstructured information.
• Clear written and verbal communication skills.
• Comfort learning new tools and working with stakeholders to understand business needs.
• Strong attention to detail and commitment to producing accurate, trustworthy work.
• Ability to commit to a full-time internship (40 hours/week).
• Please note: At this time, we are only open to entry-level candidates with less than a year of professional experience (excluding internships and co-ops).

Compensation

At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.

In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

• Zone A: $43/hr – $51/hr
• Zone B: $39/hr – $44/hr
• Zone C: $36/hr – $43/hr

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

Benefits

• Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community.
• Our offerings include health and wellbeing resources, paid volunteer days, and so much more.
• To learn more, visit https://www.atlassian.com/company/careers/earlycareers .