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Production Operations; ProdOps) Intern - Summer

Remote / Online - Candidates ideally in
Raleigh, Wake County, North Carolina, 27601, USA
Listing for: Siemens AG
Full Time, Seasonal/Temporary, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-23
Job specializations:
  • Business
    AI Business & Operations, Business Intelligence, Change Management
  • IT/Tech
    AI Business & Operations, Business Intelligence, Change Management
Salary/Wage Range or Industry Benchmark: 29 - 34 USD Hourly USD 29.00 34.00 HOUR
Job Description & How to Apply Below
Production Operations (Prod Ops) Intern - Summer 2027

525986

20-Oct-2026

Smart Infrastructure

Internal Services

Brightly Software, Inc.

Remoto

At Siemens, we help organizations transform maintenance and operations through connected insights, AI-powered technology, and intelligent asset management solutions. Our software enables customers to manage the full lifecycle of assets, facilities, and infrastructure while improving efficiency, reducing risk, and optimizing long-term investments. By connecting data, people, and processes, we empower organizations to make smarter decisions, maximize asset performance, and achieve more resilient operations.

Description

Siemens Asset Management Software (AMS) Product Operations Team is seeking a curious, motivated Prod Ops AI Operations Intern to join the Product Operations team within Cloud Operations for Summer 2027. Our team is shifting from reactive, manual incident handling toward a data-driven, AI-enabled way of working, and this internship is a hands‑on opportunity to help make that happen.

You will use AI tools to support root cause analysis (RCA), analyze operational processes, and recommend improvements that reduce manual effort and time to resolution for our clients. You will partner closely with Prod Ops team members and work with Product, Support, and Engineering stakeholders, with guidance and mentorship throughout the internship.

This 10 week Summer Internship will last between May 2027 and August 2027.

What You’ll Learn
  • 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:

This position is remotely based within the United States.

However, to facilitate onboarding and establish key relationships with the team, the successful candidate will be required to attend their first week of employment onsite in Raleigh, NC. Following onboarding, the role will be fully remote.

Qualified Applicants must be legally authorized for employment in the United States and will not require employer sponsored work authorization now or in the future for employment in the United States.

You’llmake an impact by :
  • 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 Prod Ops 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.
  • Evaluate emerging AI use cases with Prod Ops 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…
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