Customer Experience Engineer

Microsoft Microsoft · Big Tech · Dublin, United Kingdom +1 · Customer Experience Engineering

This role focuses on customer experience engineering for Microsoft Intune, a cloud-based service for managing devices. The engineer will resolve complex technical issues, partner with software engineering on design and feedback, flag product defects, and engage with critical customer accounts. A key aspect is identifying trends from customer usage to drive product improvements, and experimenting with AI and agentic AI to simplify problem-solving and enhance customer experience. The role also involves sharing best practices and driving process improvements.

What you'd actually do

  1. Effectively leverage tools, telemetry, and deep product expertise as you resolve complex technical issues faced by our customers in critical environments.
  2. Partner with Software Engineering to review architecture/design and provide feedback and guidance as it relates to customer experience, support & customer impact on an ongoing basis.
  3. Flag product defects, feature gaps, usage patterns from direct patterns observed from customer usage that contribute to product and product quality.
  4. Engage with critical customer accounts to provide Mission Critical Support to them as they leverage Intune to manage critical workloads
  5. Drive bugs/DCRs stemming from product usage directly with Software Engineering – enable them to plan, prioritize and close key customer issues and asks.

Skills

Required

  • Intune/Microsoft management solutions
  • Client-Side Support
  • Hardware/OS
  • Networking
  • Windows 11
  • Mobile Device Management
  • Autopilot based deployments
  • iOS and Android devices and operating systems
  • troubleshooting and logical problem-solving skills
  • stakeholder management skills
  • Microsoft SCIM technologies

Nice to have

  • AI tools
  • agentic AI
  • supportability and troubleshooting the availability of applications, properties, systems, networks, and servers for high availability enterprise systems

What the JD emphasized

  • Intune Product Health and Escalation
  • great experience using the Intune service
  • best possible support experience
  • passionate about customers
  • solve detailed technical problems
  • thirst for knowledge
  • equally happy talking to customers or developers
  • create clarity to allow faster progress
  • relish learning new things
  • love the prospect of using AI to drive greater impact
  • resolve complex technical issues
  • critical environments
  • customer experience
  • support & customer impact
  • product defects
  • feature gaps
  • customer usage
  • product quality
  • critical customer accounts
  • Mission Critical Support
  • manage critical workloads
  • Drive bugs/DCRs
  • customer issues and asks
  • best practices
  • voice of Microsoft Intune
  • Voice of the Customer
  • customer calls
  • community data
  • drive improvements back into the product
  • content improvement opportunities
  • troubleshooting guides
  • drive efficiency and support efficacy
  • automation of complex solutions
  • process improvements
  • continuous process improvements
  • Gather feedback from customers and partners
  • feature and knowledge gaps
  • misconfigurations
  • metrics and KPIs
  • provide better experience for our customers
  • supportability and troubleshooting availability
  • Define metrics
  • analyze system performance
  • Experiment and build with AI and agentic AI
  • simplify problem solving
  • amplify positive customer experience
  • Production experience in managing large environments
  • cloud-based services
  • hands-on expertise in Intune/Microsoft management solutions
  • troubleshoot and debug complex issues
  • Client-Side Support
  • Hardware/OS
  • Networking
  • Sound troubleshooting and logical problem-solving skills
  • Production system experience with Windows 11
  • Mobile Device Management
  • Autopilot based deployments
  • iOS and Android devices and operating systems
  • managing them at scale
  • deal with the ambiguity
  • fast paced and changing environment
  • Excellent written and oral communication skills
  • Strong stakeholder management skills
  • manage up & across
  • Software Development Life Cycle (SDLC)
  • agile environment
  • Leadership
  • sound problem resolution
  • judgment
  • negotiating and decision-making skills
  • Hands on knowledge & familiarity with Microsoft SCIM technologies
  • Willingness to routinely use AI toolsin day-to-day work
  • leading supportability and troubleshooting the availability of applications
  • properties
  • systems
  • networks
  • servers
  • high availability enterprise systems