Brand & Marketing Intern

TomTom

What you'll do

• Contribute across event, incident, problem and change management. Run day-to-day process performance, governance and KPIs alongside the team’s process owners, keeping things lean, practical and aligned with how engineering actually works.

• Act as an AI champion within the team. Spot, test and roll out AI use cases that remove manual effort, such as:

• alert correlation and noise reduction in event management

• auto-triage, smart assignment and AI-written incident summaries

• pattern detection and AI-assisted root cause analysis in problem management

• risk scoring and automated approval of low-risk changes

• Turn ideas into working improvements. Build the case, run pilots, measure results and scale what works across ServiceNow, PagerDuty, Grafana and the wider operations toolset.

• Bring fresh ideas from the industry. Keep up with AIOps, SRE, ITIL 4/5, DevOps and agentic AI, and share what could work for TomTom.

• Improve through data. Track measures like MTTD, MTTR, incident recurrence, alert-to-incident ratio and change failure rate, and use them to coach the team decide what to fix next.

• Share what you learn. Run demos, document good practice and Mentor/coach colleagues get more out of AI tools every day.

• Keep AI responsible. Build in human oversight, data privacy, accuracy checks and auditability as standard.

• Collaborate across TomTom. Work closely with engineering, product, support and security teams, so the processes help delivery move faster.

• What you'll need

• Hands-on experience with event, incident, problem and/or change management in a live production environment.

• A good grounding in ITIL 4/5, and a practical mindset. You apply what adds value and question what doesn’t.

• Practical experience using AI or automation to improve operations. That could be generative AI, AI agents, predictive models or workflow automation, ideally with results you can point to.

• A working understanding of generative AI and LLMs. This covers prompting, AI agents and knowledge retrieval, plus a clear view of their limits and risks.

• Experience with ServiceNow or a similar ITSM platform, along with monitoring tools such as Grafana or PagerDuty.

• Strong analytical skills. You’re comfortable with KPIs, dashboards and turning data into clear recommendations.

• A collaborative, team-first approach. You enjoy building on others’ expertise, sharing your own and moving ideas forward together.

• Excellent spoken and written communication skills, so you can explain a process change or an AI pilot clearly to engineers, leadership and stakeholders.

• Curiosity and a bias for action. You experiment, learn fast and come back with results.

• Nice to have

• Experience with AIOps platforms or ServiceNow AI capabilities, such as Now Assist or Predictive Intelligence.

• Scripting or low-code automation skills (e.g., workflow builders).

• Familiarity with SRE practices, error budgets and DORA metrics.

• ITIL 4/5 or AI/ML-related certifications.

• Experience in a global, product-led technology company.