GTM Finance Intern (AI & Automation)

Posted Yesterday
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Amsterdam, NLD
Hybrid
Internship
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
We make a unified map designed for every moving vehicle
The Role
Partner with GTM Finance to identify manual workflows and build AI-driven automations and lightweight applications. Projects include contract-to-bookings extraction, auto-generating PowerPoint narratives from finance data, workflow mapping, and automated billing/EDI trend and anomaly detection. Deliver prototypes and tested recommendations, working closely with Sales and Finance stakeholders.
Summary Generated by Built In
What's the role?
The Team
GTM Finance sits at the intersection of Finance, Sales, and Strategy. GTM Finance owns the top line of the company. Revenue, billings (invoicing), and bookings.
We're looking to move the team beyond Excel toward faster, more automated, and more insight-driven workflows. There's a real opportunity to use AI and automation to deliver tangible, usable outputs within our existing tools and processes. Simplified workflows, standardised templates, reusable assets and to prove their value through pilot use cases.
The ambition is simple: spend less time building numbers, and more time explaining them to Sales, Finance leadership, and the CCO organisation.
What is the role
You'll partner with the GTM Finance team to identify manual, repetitive workflows and rebuild them with AI and automation. The exact projects will take shape once you're in and have mapped what the team does day-to-day, but concrete starting points discussed in the role kickoff include:
  • Contract-to-bookings automation: building an agent that reads a signed contract (SOP date, volumes, pricing, products) and pulls the key components into a structured long-term revenue (LTR) calculation, instead of the team doing it manually.
  • From data to narrative: building tools that take forecast, bookings, or billings data and generate clean PowerPoint outputs and written narratives, so we can focus on explaining the numbers rather than rebuilding them.
  • Workflow mapping & quick wins: looking across bookings, billings, forecasting, and revaluation processes, mapping where time is being lost, and prototyping AI- or automation-based solutions where they make sense.
  • Billings & EDI analysis: turning the daily flow of data into automated trend views, with anomaly detection

You won't be expected to know our processes on day one, our the team will walk you through them. What we need is someone who, once they understand a workflow, can spot where AI or automation fits and actually build it.
Who are you?
We're more interested in mindset and skillset combination than in a specific degree label. Two profiles fit equally well:
  1. A Master's student (Finance, Economics, Business, Data Science, AI, or similar) with strong analytical thinking and a real affinity for AI, automation, and modern tooling. Not just prompting, but building agents and lightweight applications.
  2. An MBA candidate with strong analytical thinking who is genuinely hands-on with AI and automation (not only strategic / high-level).

In either case, what matters is the combination of AI / automation skills first, with strong financial and commercial intuition second and not the other way around. You don't need to be a hardcore data scientist; the technology we need isn't extraordinarily complex. You do need to understand how a business runs.
You:
  • Are available per July/Augsust full - time for a period of 8-12 weeks (MBA) or somewhat longer for Master's students if needed, depending on your academic program.
  • Are based in, or able to be based in, the Amsterdam area, and can be 2-3 days per week from our Amsterdam office to engage closely with stakeholders
  • Are eligible to undertake an internship in the Netherlands (including any required visa and/or university sponsorship arrangements).

What do you bring:
  • AI fluency that goes beyond prompting. Comfortable building agents that scan workflows, structure unstructured data, or automate steps. Bonus if you've built lightweight applications, or worked seriously with Copilot, Claude, or similar in a real project (not just essays).
  • Comfort with data tooling. Power BI, Tableau, or equivalent. You can take messy data and make it visual, structured, and useful.
  • Business and commercial antennae. You've already worked inside a company, on a customer-facing project, or on something tangible like strategic pricing, market analysis, customer data, or a similar real-world problem.
  • A proactive, hands - on mindset with ownership of deliverables and the ability to drive a project from scoping through to tested recommendations

Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel .

Skills Required

  • Currently enrolled in a Master's program (Finance, Economics, Business, Data Science, AI) or an MBA candidate
  • Available July/August full-time for 8-12 weeks (MBA) or longer for Master's students as needed
  • Based in or able to be based in the Amsterdam area and able to be onsite 2-3 days per week
  • Eligible to undertake an internship in the Netherlands (including any required visa and/or university sponsorship arrangements)
  • AI fluency beyond prompting; able to build agents that structure unstructured data and automate workflows
  • Comfort with data tooling such as Power BI, Tableau, or equivalent to visualize and structure messy data
  • Demonstrated business/commercial experience (worked inside a company or on customer-facing projects)
  • Proactive, hands-on mindset with ownership of deliverables and ability to drive projects from scoping to recommendations
  • Experience working seriously with Copilot, Claude, or similar in a real project (bonus)

What the Team is Saying

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HERE Technologies Compensation & Benefits Highlights

  • Healthcare Strength Health coverage includes medical, dental, vision, HSA/FSA options, life and disability insurance, and an EAP, with mental‑health support referenced. The overall scope is consistent with a comprehensive tech‑company package.
  • Leave & Time Off Breadth Offerings span hybrid Flexi Work Options, Volunteer Time Off, a formal Sabbatical policy, paid holidays, parental leave, and a U.S. discretionary/unlimited PTO model. This portfolio supports work‑life balance through multiple time‑off pathways.
  • Flexible Benefits Work arrangements emphasize hybrid/remote flexibility and home‑office support, complemented by corporate learning resources and online course access. These elements add day‑to‑day agility beyond core insurance and retirement.

HERE Technologies Insights

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The Company
HQ: Amsterdam
6,000 Employees
Year Founded: 1985

What We Do

HERE Technologies is a location data and technology company that created the first digital map over 35 years ago. Today we are the world's leading location platform company with a global footprint across 52 countries. Although our strongest presence is in the automotive industry, we also work with leading companies across a wide range of industries, including transport and logistics, mobility, manufacturing and retail and the public sector.

Why Work With Us

At HERE, we're always excited about discovering people who share our passion for building innovative solutions that make the world easier to navigate. We believe our success is powered by our team's diversity, creativity and collaboration and we're always looking for opportunities to grow it further.

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HERE Technologies Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week
HQAmsterdam, NL
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Bengaluru, IN
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El Desagüe, MX
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Gurugram, IN
Hanyang, KR
Kraków, PL
London, GB
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Mumbai, IN
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