Production Operations (ProdOps) Intern
Siemens
About the Role
Siemens Asset Management Software (AMS) Product Operations Team is seeking a curious, motivated ProdOps AI Operations Intern to join the Product Operations team within Cloud Operations for Summer 2027. This is a 10-week Summer Internship.
Internship Learning Opportunities
- How enterprise SaaS and cloud production operations work.
- How to apply AI to real operational challenges, from RCA to process automation.
- Incident trend analysis, root cause analysis, and continuous improvement techniques.
- Data visualization and operational reporting.
- Presenting insights and recommendations to leadership.
Location
- Remotely based within the United States.
- Required to attend the first week of employment onsite in Raleigh, NC for onboarding.
- Following onboarding, the role will be fully remote.
Key Responsibilities
AI-Assisted RCA & Incident Analysis
- Use AI tools to analyze production incidents and post-incident reviews.
- Identify recurring failure patterns, operational trends, and common root causes.
- Draft AI-assisted RCA summaries with clear findings and recommended corrective actions.
- Help track whether corrective actions reduce repeat incidents.
Process & Operations Analysis
- Document and assess existing ProdOps workflows.
- Recommend opportunities for AI, workflow automation, and process simplification.
- Create process maps showing current-state and future-state workflows.
- Assist with testing and rollout of approved process and automation improvements.
Operations Reporting & Insights
- Analyze operational data related to incidents, escalations, and service performance.
- Build dashboards and visualizations that track operational health and improvement initiatives.
- Prepare concise, leadership-ready summaries of findings and recommendations.
AI Innovation & Proof-of-Concepts
- Evaluate emerging AI use cases with ProdOps stakeholders.
- Experiment with Microsoft Copilot, generative AI tools, and workflow automation platforms.
- Build small proof-of-concepts that improve productivity and operational effectiveness.
- Research industry best practices for AI-enabled operations.
Documentation & Knowledge Sharing
- Improve RCA templates, operational documentation, and process guides.
- Create reusable AI prompts and playbooks for the team.
- Share findings and lessons learned with the broader Cloud Operations organization.
- Apply responsible AI practices, including validation and human review of AI-generated output.
Requirements & Tech Stack
Core Qualifications
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Business Technology, or a related field.
- Strong analytical and problem-solving skills, demonstrated through coursework, projects, or prior internships.
- Familiarity with generative AI tools such as Microsoft Copilot or ChatGPT, through coursework, projects, or personal use.
- Working knowledge of Excel or Google Sheets for organizing and analyzing data.
- Good written and verbal communication skills, with the ability to explain findings clearly.
- Curiosity, attention to detail, and a willingness to learn in a fast-paced environment.
- Ability to work both independently and as part of a team.
Preferred Qualifications
- Coursework or project experience with Python, SQL, or data visualization tools such as Power BI or Tableau.
- Exposure to cloud computing concepts (AWS, Azure) through classes, certifications, or personal projects.
- Basic familiarity with ticketing or project tools such as Jira or Salesforce.
- Interest in IT operations, incident management, or process improvement.
- Prior internship, co-op, or campus project experience involving data analysis or automation.