AI & Sales Targeting Internship
Primary stack
Nice to have's
Job description
About the Position
AI & Sales Targeting Internship
Use Salesforce data and AI tools to decide which companies our new Mid-market and Enterprise teams sell to. Sales leadership reviews your work.
Responsibilities
In this role, you will:
- Analyze won deals and contracts by industry, size, region, products, contract value, and renewals to build a profile of our best customers
- Use AI tools to fill in missing industry and segment data for our accounts, check a sample by hand, and prepare fixes for review
- Score and rank prospect accounts against that profile, and present the target list to Sales leadership for feedback
- Build a simple dashboard showing how our pipeline matches the target profile, plus a short write-up on what you found and where AI helped or fell short
Requirements
- Are following a bachelor's or master's program, in business, economics, marketing, data analytics, or a related field
- Have good Excel or Google Sheets skills, work in a careful and structured way, and are curious about using AI tools for data work
- Speak and write fluent English
- Bonus: experience with Salesforce, SQL, or Python (not required)
Nice to Have
- Experience with Salesforce, SQL, or Python
We Offer
- Monthly stipend: €750 a month at 40 hours a week, pro-rated for fewer hours
- Your own hours: 20 to 40 hours a week, and you largely choose which hours and days
- Hybrid: one to two days a week at our Leeuwarden hub, the rest is up to you
- Regular 1:1s: with your supervisor, to set priorities and get direct feedback
- Room for your thesis: the subject can come from your work here, the writing happens outside office hours
- A way in: interns have stayed on after their internship, like Ben in our data team
About the Company
Datamaran is the AI-powered governance platform for enterprise.
Regulations change. Stakeholders shift. Markets move. Large organizations are expected to hold a clear, defensible position on all of it, and most still get there through slow manual work on fragmented signals.
We turn regulatory, stakeholder, and market signals into intelligence that leadership teams can act on, built on 12+ years of expertise in non-financial risk. Risk, legal, compliance, sustainability, and corporate affairs teams at Bridgestone, Dell, Cisco, Kraft Heinz, and PepsiCo use Datamaran to decide what matters, and to stand behind that decision afterwards.
We are 100+ people across the UK, US, Spain, and the Netherlands.
Know what's coming. Act on it.
Founded in 2014.
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