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AI & Sales Targeting Internship

Datamaran·Salary not specified

Primary stack

AnalyticsAISQLSalesMS Excel

Nice to have's

Python

Job description

About the Position

AI & Sales Targeting Internship

We want our sales team to focus on the companies most likely to buy, and you'll find them. Using our Salesforce data on accounts, won deals and contracts, together with AI tools like Claude, you'll work out what our best customers look like and build a target account list for our new Mid-market and Enterprise teams. Sales leadership reviews your work and uses it to decide where our sellers spend their time.

Responsibilities

  • 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

What You'll Learn

You'll see how an enterprise software company decides which customers to go after, and you'll get practical experience using AI for real data work, including where it falls short. You'll have weekly 1:1s with your supervisor, monthly check-ins with our VP Finance, and mid-point and final reviews of your personal learning goals.

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)

We Offer

  • Opportunity to work in a dynamic and innovative environment
  • Exposure to real-world data analytics and AI applications
  • Regular feedback and mentorship from experienced professionals

About the Company

[Company description if present]

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