Multiple employees collaborating on work
Atlassian Logo

Atlassian

Digital Asset Management (DAM) Operations Intern, 2027 Summer U.S.

Posted 3 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in 94104, San Francisco, CA
Internship
In-Office or Remote
Hiring Remotely in 94104, San Francisco, CA
Internship
Supports Atlassian’s Digital Asset Management program by auditing metadata, identifying duplicate assets, maintaining tagging documentation, creating DAM onboarding guides and Loom walkthroughs, and explaining taxonomy’s impact on marketing workflows. The intern will complete a focused operations project with measurable deliverables during a 12-week summer internship.
The summary above was generated by AI
Interns | San Francisco, United States | Remote, Remote
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
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 F1 and J1 students. It is not available for any work sponsorship.
Our paid internship program runs for 12 weeks between May/June 2027 - August/September 2027.
Your Future Team
The DAM & Taxonomy program sits within Atlassian's Go-to-Market Operations org and owns the systems, structure, and standards behind our Digital Asset Management (DAM) platform. We make it fast and reliable for marketing teams across the company to find, trust, and reuse the right creative assets - through clean metadata, a well-designed taxonomy, and self-serve onboarding. As a DAM Operations Intern, you'll take on a focused, well-scoped body of metadata and asset-hygiene work that directly improves the search and reuse experience for the whole marketing organization, while learning how taxonomy operates within the DAM and its wider implications across the business.
Responsibilities
As a DAM Operations Intern, you'll own a hands-on operations project with clear, measurable deliverables. You'll have the chance to:
  • Audit metadata across key asset sets in the DAM - reviewing tags and metadata, flagging gaps and inconsistencies, and updating the tagging-agent documentation so standards stay current.
  • Build a repeatable de-duplication process for identifying, flagging for removal, and managing duplicate assets in the DAM - reducing storage and the confusion that comes from multiple versions of the same thing.
  • Create onboarding materials - reusable how-to guides and Loom walkthroughs, including a "DAM 101" set covering basic functionality - that support self-serve onboarding for new DAM users.
  • Learn how taxonomy functions inside the DAM and its downstream implications for marketing teams, captured in a short one-page explainer.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit

Similar Jobs at Atlassian

3 Hours Ago
In-Office or Remote
USA
140K-220K Annually
Senior level
140K-220K Annually
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead technical pre-sales engagements for large LATAM enterprise customers. Partner with account teams and channel partners, conduct Spanish-language discovery sessions and demonstrations, advocate for Atlassian Rovo and Teamwork Graph, architect customized solutions, and translate complex business challenges into measurable customer value. Build executive relationships, influence cross-functional teams, provide market feedback to Product Management, and support complex, high-stakes enterprise deals.
Top Skills: Artificial IntelligenceAtlassian RovoCloud Software PlatformsTeamwork Graph
3 Hours Ago
In-Office or Remote
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Develops core AI capabilities for Atlassian’s DevAI products, including LLM-based methodologies, prompt engineering, end-to-end AI features, data preprocessing, feature engineering, experimentation, model evaluation, pipeline optimization, and monitoring. Collaborates with data scientists, software engineers, and cross-functional partner teams to solve complex problems and apply advances in machine learning and AI.
Top Skills: Feature EngineeringLarge Language Models (Llms)Machine LearningMachine Learning PipelinesPrompt Engineering
3 Hours Ago
In-Office or Remote
IN, USA
Senior level
Senior level
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Build and improve Confluence AI experiences across frontend, backend, and AI integrations. Own features from design through launch, apply generative AI, retrieval, agents, and evaluation techniques, create automated quality testing, monitor production performance, run adoption experiments, and collaborate cross-functionally. Mentor engineers and contribute to architecture, observability, testing, safeguards, and scalable software delivery.
Top Skills: Ai AgentsAutomated EvaluationBackend DevelopmentFrontend DevelopmentGenerative AiInformation RetrievalMachine LearningObservabilityProduction Monitoring

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account