AI Productivity Internship

Descripción del puesto:

Product management generates a lot of recurring work - reporting, reviewing documents, tracking decisions. Much of it is structured enough to automate, yet it still consumes hours every week. As our AI Productivity Intern, you'll change that.

You'll work directly with product managers to identify high-friction workflows and replace them with AI-powered routines and interactive tools. Think less "copy-paste from a doc into a Jira ticket" and more "the agent already drafted it." Less "review a report in a meeting with 50 stakeholders" and more "an AI-native tool that enables offline review and makes the review faster and richer."

This is a build-and-ship role. You'll go from problem to working prototype quickly, using modern AI APIs and automation frameworks.

What you'll do:

* Interview product managers to surface repetitive tasks that are good candidates for automation
* Design and build AI routines that run on a schedule or on demand (e.g. decision digests, status summaries, feedback aggregation)
* Replace static document-based review processes with interactive, AI-assisted tools
* Measure time saved and iterate based on adoption
* Document what you build so it outlasts your internship

What you'll need:

* Enrolled in a Bachelor's or Master's in Computer Science, Data Science, or a related engineering discipline during the entire duration of the internship
* Comfortable building with APIs and writing scripts or small applications (Python or TypeScript preferred)
* Familiarity with LLMs and prompt engineering - you've built something with an AI API before
* Able to talk to non-technical stakeholders and translate vague pain points into concrete specs
* Bias toward shipping: you'd rather put an imperfect tool in front of users than perfect something in isolation

Nice-to-have:

* Experience with workflow automation tools
* Exposure to product management processes or working in a product team
* Familiarity with the Microsoft 365 ecosystem (Copilot, Teams, SharePoint)
* Experience with Claude code

What you'll get:

* A real problem to solve with real users - product managers who will tell you immediately if what you built is useful
* Hands-on experience with production AI tooling
* Mentorship

What we offer

A competitive compensation package, of course.

Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O'Reilly and LinkedIn Learning.

Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.

Work flexibility, where TomTom'ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It's all about getting the best out of both worlds - we ask TomTom'ers to come to the office two days a week, and the remaining three are free to be worked in either location.

Improve your home office with a setup budget and get extra support with a monthly allowance.

Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we're mapping.

Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.

Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.

Become a part of our inclusive global culture and have the chance to collaborate with a diverse community - we have over 80 nationalities at TomTom!

Find out more about our global benefits and enjoy additional local benefits tailored to your location.

Meet your team

We are the Map Visualization Product Unit. We develop map rendering technology that can be integrated into navigation systems and location-based applications, providing our technology to our customers in the form of cloud-based APIs and SDKs.

We see quality-management processes as a source of competitive advantage. As part of our product-led and outcome-oriented culture, we believe it is crucial to have mechanisms in place to measure and improve the quality of our products in a continuous manner so we can achieve our mission of mapping the world in real time.

At TomTom...

You'll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.

Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we'll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.

TomTom is an equal opportunity employer

TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you. No matter your culture or background, you'll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we'd love to hear from you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us