Production Operations (ProdOps) Intern - Summer 2027

Siemens • Raleigh, NC

12d • $29 - $34 • Remote

About The Position

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. The team is moving from reactive, manual incident handling toward data-driven, AI-enabled operations. The intern will use AI tools to support root cause analysis, analyze operational processes, and recommend improvements that reduce manual effort and client time to resolution. The intern will partner with ProdOps colleagues and Product, Support, and Engineering stakeholders, with guidance and mentorship throughout the internship.

This is a 10-week summer internship running between May 2027 and August 2027. It is remotely based within the United States, with the first week required onsite in Raleigh, North Carolina for onboarding and relationship building; after onboarding, the role is fully remote. Applicants must be legally authorized to work in the United States without requiring employer-sponsored work authorization now or in the future.

The intern will gain experience with enterprise SaaS and cloud production operations; applying AI to operational challenges such as root cause analysis and process automation; incident trend analysis and continuous improvement; data visualization and operational reporting; and presenting insights and recommendations to leadership.

Requirements

• 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 willingness to learn in a fast-paced environment.
• Ability to work independently and as part of a team.
• Must be legally authorized to work in the United States and not require employer-sponsored work authorization now or in the future.
• Attend the first week onsite in Raleigh, North Carolina for onboarding.

Nice To Haves

• Coursework or project experience with Python, SQL, or data visualization tools such as Power BI or Tableau.
• Exposure to cloud computing concepts such as AWS or 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.

Responsibilities

• Use AI tools to analyze production incidents and post-incident reviews.
• Identify recurring failure patterns, operational trends, and common root causes.
• Draft AI-assisted root cause analysis summaries with findings and recommended corrective actions.
• Help track whether corrective actions reduce repeat incidents.
• Document and assess existing Product Operations workflows.
• Recommend opportunities for AI, workflow automation, and process simplification.
• Create process maps of current-state and future-state workflows.
• Assist with testing and rollout of approved process and automation improvements.
• Analyze operational data related to incidents, escalations, and service performance.
• Build dashboards and visualizations to track operational health and improvement initiatives.
• Prepare concise, leadership-ready summaries of findings and recommendations.
• Evaluate emerging AI use cases with Product Operations stakeholders.
• Experiment with Microsoft Copilot, generative AI tools, and workflow automation platforms.
• Build small proof-of-concepts to improve productivity and operational effectiveness.
• Research industry best practices for AI-enabled operations.
• Improve root cause analysis 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.

Benefits

• Interns are eligible to contribute to the company’s 401K program.
• Hourly pay range of $29–$34, based on projected graduation year; the actual wage may vary based on budget, candidate experience, knowledge, skills, qualifications, and premium geographic location.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern